https://wiki-staging.ellak.gr/api.php?action=feedcontributions&feedformat=atom&user=Pkst 2026-09-11T07:32:14Z Συνεισφορές χρήστη MediaWiki 1.41.5 https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2521 2026-02-19T06:56:28Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> <br /> =='''VS Code pluggin for CScout'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The objective of the proposed project is to create a Visual Studio Code plugin for accessing the functionality of the CScout source code analyzer and refactoring browser for collections of C programs.<br /> <br /> CScout can process workspaces of multiple projects (a project is defined as a collection of C source files that are linked together) mapping the complexity introduced by the C preprocessor back into the original C source code files. CScout takes advantage of modern hardware (fast processors and large memory capacities) to analyze C source code beyond the level of detail and accuracy provided by current compilers and linkers. The analysis CScout performs takes into account the identifier scopes introduced by the C preprocessor and the C language proper scopes and namespaces. CScout has already been applied on projects of tens of thousands of lines to millions of lines, like the Linux and FreeBSD kernels and the Apache web server.<br /> <br /> Having VSCode act as a front-end to CScout’s existing batch analysis will work as follows.<br /> * Trigger explicit runs (command palette / tasks), not on-save analysis.<br /> * Present results as:<br /> ** Navigable diagnostics<br /> ** Cross-reference views (definitions, uses, dependencies)<br /> ** Refactoring previews as diffs<br /> ** Project-wide facts (identifier scopes, file coupling, macro effects) that are otherwise buried in textual reports<br /> <br /> This will offer the following advantages<br /> * Lower adoption barrier: developers are far more likely to try CScout if results appear inside their editor instead of via reports or bespoke UIs.<br /> * Natural fit for whole-program analysis: VS Code already supports long-running, cancellable tasks with progress reporting.<br /> * Superior comprehension UX: jump-to-definition, peek views, code lenses, and diff previews make CScout’s semantic information immediately actionable.<br /> * Safer refactoring workflow: preview-first refactorings reduce fear of large, semantics-preserving transformations.<br /> * Separation of concerns: keeps CScout as a standalone engine while the plugin handles visualization and navigation.<br /> * Research leverage: enables realistic user studies (e.g., acceptance of large-scale refactorings, tolerance of latency).<br /> * Longevity and reuse: the same backend can serve CLI, CI, and IDE use; the plugin becomes a thin, replaceable shell.<br /> <br /> Thus the plugin will combine CScout’s strengths (macro-aware parsing, precise identifier resolution, and whole-system reasoning) that are hard to appreciate via static reports and tricky to use through the existing rudimentary web front-end. The VSCode plugin combines two open source software projects to provide immediate developer value.<br /> <br /> ====Expected Results====<br /> <br /> A VS Code plugin that can act as an interface to CScout<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/cscout<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Typescript, C/C++, VS Code API<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> =='''OpenTRIM'''==<br /> <br /> ====Brief Explanation====<br /> <br /> OpenTRIM is an open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises a set of C++ libraries, a command-line program for executing simulations in batch mode, and a Qt-based graphical user interface for configuring, running, and evaluating simulations. Several parts of the codebase require improvements and extensions.<br /> <br /> ====Expected Results====<br /> <br /> Real-time 3D visualization tool for simulated ion tracks<br /> <br /> Python bindings for running simulations and retrieving results directly from Python<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++<br /> <br /> Python (optional)<br /> <br /> OpenGL (optional)<br /> <br /> ====Mentors====<br /> <br /> George Apostolopoulos<br /> <br /> Michail Axiotis<br /> <br /> Eleni Mitsi<br /> <br /> =='''Open-Source AI Framework for Thermal Satellite Payload Data Analysis'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project aims to develop a general-purpose open-source AI framework for extracting high-level semantic information from thermal sensor payloads onboard satellites. The framework will support multiple application scenarios such as nighttime cloud detection and thermal event or anomaly monitoring on land and sea.<br /> <br /> The project focuses on building a reusable pipeline covering dataset creation and augmentation from real and synthetic thermal imagery, model training and benchmarking, and advanced analysis tools such as uncertainty quantification and explainability. The goal is to provide a practical and reproducible platform for thermal remote sensing applications in Earth observation and small satellite programs.<br /> <br /> ====Expected Results====<br /> <br /> Modular AI pipeline for thermal satellite data processing<br /> <br /> Dataset extraction, preprocessing and labeling workflows<br /> <br /> Baseline and benchmarked ML/DL models<br /> <br /> Uncertainty quantification methods<br /> <br /> Explainability tools<br /> <br /> Public open-source releases with documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/Orion-AI-Lab<br /> <br /> https://github.com/Orion-AI-Lab/TIRAuxCloud<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python<br /> <br /> Machine Learning / Deep Learning (PyTorch or similar)<br /> <br /> Image processing fundamentals<br /> <br /> Geospatial / satellite imagery familiarity<br /> <br /> Interest in remote sensing and explainable AI<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Alexis Apostolakis<br /> <br /> Simon Vellas<br /> <br /> =='''Command &amp; Data Handling Software for Open-Source CubeSat FlatSat Testbed'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The CubeSat FlatSat testbed is a ground-based platform for deploying and testing onboard AI algorithms, end-to-end processing pipelines, and avionics software/hardware. It supports onboard processing validation and serves as a development platform for university student projects and future open-source CubeSat missions.<br /> <br /> ====Expected Results====<br /> <br /> C&amp;DH flight software on STM32 with FreeRTOS<br /> <br /> Inter-subsystem communication using CSP over CAN<br /> <br /> NASA cFS-inspired modular architecture<br /> <br /> Zenoh middleware for high-bandwidth payload data<br /> <br /> Unit tests and integration tests<br /> <br /> Architecture documentation and developer guides<br /> <br /> Public open-source release on GitHub<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/omega-space-group<br /> <br /> https://github.com/omega-space-group/orion-cubesat-testbed<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python and C<br /> <br /> Embedded systems development<br /> <br /> FreeRTOS<br /> <br /> CAN bus &amp; networking protocols<br /> <br /> STM32 toolchain familiarity<br /> <br /> Interest in satellite systems and flight software<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Simon Vellas<br /> <br /> <br /> =='''Fine-tuning AI transcription models for Greek Municipal Councils'''==<br /> <br /> ====Brief Explanation====<br /> <br /> OpenCouncil has accumulated hundreds of hours of Greek municipal council recordings with human-corrected transcriptions and utterance-level timestamps. Greek municipal speech presents unique challenges: regional accents, domain-specific legal and administrative terminology, multiple speakers, and varying audio quality. This project will fine-tune Whisper (or similar open-source speech recognition models) on our dataset to significantly improve transcription accuracy for Greek municipal contexts. The contributor will preprocess training data, experiment with fine-tuning approaches, evaluate model performance against our current pipeline, and deploy the improved model to production. Success means measurably better transcription quality — especially for technical terms and speaker identification.<br /> <br /> OpenCouncil is a civic tech platform that makes Greek municipal council proceedings accessible to citizens through AI-powered transcription, summarization, and search. We have established partnerships with 10+ municipalities across Greece, providing both real-world data and direct validation channels for this project. Our existing dataset of human-corrected transcriptions is a unique resource that makes this fine-tuning project feasible and impactful. The resulting model will be open-sourced and can benefit the entire Greek-speaking NLP community.<br /> <br /> ====Expected Results====<br /> A preprocessed, validated training dataset of Greek municipal speech with utterance-level alignments, ready for model fine-tuning and future research use. A fine-tuned Whisper model that demonstrates measurable improvement in Word Error Rate (WER) over the baseline, particularly on domain-specific terminology (legal, administrative), regional accents, and multi-speaker segments. An evaluation framework with benchmarks and test sets for ongoing quality measurement of Greek municipal transcription. Production integration of the fine-tuned model into OpenCouncil's transcription pipeline, validated on real council meetings from our 10+ municipal partners. Documentation of the fine-tuning methodology, dataset preparation process, and results — contributing to the broader Greek NLP and open-source speech recognition community.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/schemalabz/opencouncil<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python, Machine Learning, PyTorch/TensorFlow, Speech Recognition, Greek language required<br /> ====Mentors====<br /> <br /> Andreas Kouloumos (andreas@opencouncil.gr), Christos Porios (christos@opencouncil.gr)<br /> <br /> <br /> <br /> <br /> <br /> =='''Municipal Budget and Technical Program Visualization Tool'''==<br /> <br /> ====Brief Explanation====<br /> <br /> All 332 Greek municipalities publish annual budgets (προϋπολογισμοί) and technical programs (τεχνικά προγράμματα) as PDFs — hundreds of pages of financial data and infrastructure projects that citizens struggle to understand. This project will build a standalone tool that processes these PDFs, extracts structured data, and presents it through an accessible interface. Users will be able to search projects, track spending over time, compare municipalities, and visualize budget allocations. The tool will handle the varied PDF formats used across municipalities and be deployable for all 332 Greek municipalities with minimal configuration.<br /> <br /> This tool addresses a fundamental transparency gap in Greek local government. While budget data is technically public, it is practically inaccessible to citizens due to its format and complexity. OpenCouncil's network of 10+ municipal partners provides immediate access to real budget documents for development and testing, and a clear path to adoption across Greece. The tool will be fully open-source and designed for reuse by other civic tech initiatives. This project complements OpenCouncil's core mission of making municipal governance transparent and accessible.<br /> ====Expected Results====<br /> <br /> 1. PDF processing pipeline: Build robust extraction system that handles various PDF formats and structures, validate data quality <br /> 2.Data model and API: Design database schema, create API endpoints, implement search and comparison features <br /> 3. User interface and deployment: Build accessible frontend for exploring budgets and projects, deploy for multiple municipalities, write documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/schemalabz/opencouncil<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python, PDF processing, Data extraction, PostgreSQL, Next.js/React, Data visualization, greek language required<br /> ====Mentors====<br /> <br /> Andreas Kouloumos (andreas@opencouncil.gr), Christos Porios (christos@opencouncil.gr)<br /> <br /> <br /> <br /> =='''GlossAPI: Needs-Driven Evolution of the Dataset Production Pipeline for Greek Language Data'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on improving the GlossAPI dataset production pipeline by addressing practical limitations and gaps that emerge as new datasets are processed and published.<br /> <br /> As the scope and volume of Greek-language datasets handled by GlossAPI continue to grow, the pipeline must evolve to remain maintainable, reliable, and adaptable to new use cases. The contributor will work on the reconstruction and evolution of parts of the pipeline, guided by operational needs encountered during dataset ingestion, processing, and publication.<br /> <br /> The work will emphasize improvements to the pipeline’s maintainability and usability, while enabling richer interaction and input scenarios that better reflect how Greek-language data is accessed and processed in practice. This includes exploring enhancements related to workflow execution, interaction mechanisms, data acquisition paths, and challenges specific to Greek-language and OCR-derived content.<br /> ====Expected Results====<br /> <br /> * Improved maintainability of the GlossAPI pipeline codebase<br /> * Targeted improvements addressing real usage issues in dataset ingestion and processing<br /> * Enhanced support for diverse data sources and interaction patterns<br /> * Incremental improvements tailored to the characteristics of Greek-language data<br /> * Documentation and usage notes supporting long-term sustainability and onboarding<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, experience with data processing pipelines <br /> <br /> ====Mentors====<br /> <br /> Dimitrios Athanasopoulos, Nikos Tsekos<br /> <br /> =='''GlossAPI: ML-assisted Anonymization Layer and Targeted Pipeline Improvements for Greek Datasets'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on extending GlossAPI with a production-ready anonymization layer for Greek text datasets, addressing a critical need for privacy-preserving dataset publication, while also contributing targeted updates to the existing pipeline based on requirements that emerge during its evolution.<br /> <br /> The core of the project is the design and implementation of an ML-assisted anonymization module that detects and masks sensitive personal information (such as names, emails, phone numbers, and organizations) in Greek text. Due to the linguistic characteristics of Greek and the presence of OCR noise in many datasets, the anonymization layer will explore and evaluate multiple approaches, including rule-based techniques and ML-based methods such as Named Entity Recognition, potentially using transformer-based or other state-of-the-art models depending on empirical results.<br /> <br /> ====Expected Results====<br /> <br /> * Integrated anonymization module for Greek text datasets within GlossAPI<br /> * Detection and masking of common personal identifiers (names, emails, phone numbers, organizations)<br /> * Targeted updates to specific parts of the GlossAPI pipeline, limited to what is necessary to support anonymization<br /> * Documentation and usage examples for maintainers and future contributors<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, Basic NLP/ML concepts, and Regular expressions. <br /> <br /> ====Mentors====<br /> <br /> Myrsini Ioannou, Nikos Tsekos, Dimitrios Athanasopoulos<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> <br /> == '''Unified SBOM Management via RDF Database Abstraction''' ==<br /> <br /> ==== Brief Explanation ====<br /> Software Bill of Materials (SBOM) documents, specifically in the ISO standard SPDX format, are becoming the cornerstone of software supply chain security. As the volume of SBOM data grows, simple file-based storage is no longer sufficient for complex analysis and cross-referencing. This project aims to develop a suite of tools to ingest, store, and extract SPDX documents using RDF databases (Triplestores). By utilizing the triplestore Python library, these tools will remain database-agnostic, allowing users to seamlessly switch between backends like Apache Jena, AllegroGraph, Blazegraph, GraphDB, and Oxigraph without changing the codebase.<br /> <br /> ==== Background information ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> For GSoC 2025, a Python library abstracting some commonly used databases was developed.<br /> <br /> SBOM data in SPDX format can be serialized in RDF, and therefore can be stored in such databases.<br /> <br /> ==== Project Description ====<br /> The current SPDX ecosystem relies heavily on flat files (JSON, RDF/XML, or even Tag-Value for SPDXv2). While effective for transport, these files are difficult to query at scale—for example, when looking for a specific vulnerable component across thousands of SBOMs. Since SPDXv3 is natively based on an knowledge graph model, storing it in a RDF Triplestore is the most logical and powerful way to handle this data. However, different RDF databases have varying APIs and connection protocols.<br /> <br /> This project will leverage the triplestore library (which provides a high-level Python abstraction) to build tools that:<br /> <br /> - ''Ingest:'' Parse SPDX documents (multi-format support) and map them to the unified RDF store.<br /> <br /> - ''Extract:'' Reconstruct valid SPDX documents from the database based on specific queries (e.g., &quot;Export the SBOM for Project X version 1.2&quot;).<br /> <br /> - ''Manage:'' Provide basic management functions like listing stored SBOMs, deleting old versions, and validating data integrity.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a number of well-documented tools that can operate on SBOM data. These will allow users to seemlessly move between SPDX documents and RDF databases.<br /> <br /> An indicative list of tools and deliverables is:<br /> <br /> - ''SBOM-to-Store Ingestor:'' A CLI tool to upload SPDX documents (v2 and v3) into any supported triplestore.<br /> <br /> - ''Store-to-SBOM Exporter:'' A tool to query the database and output a standard-compliant SPDX file.<br /> <br /> - ''Database Management Utilities:'' Tools for basic CRUD operations on the stored SBOM data.<br /> <br /> - ''Test Suite:'' A comprehensive set of tests to verify the abstraction works.<br /> <br /> - ''Documentation:'' User guide for the CLI tools and developer documentation for the API.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://github.com/eellak/triplestore<br /> <br /> - https://github.com/spdx/tools-python<br /> <br /> - https://github.com/RDFLib/rdflib<br /> <br /> - https://spdx.github.io/spdx-spec<br /> <br /> ==== Knowledge Areas ====<br /> Python3, RDF, SPARQL, SPDX specifications.<br /> <br /> ''Tip for your application:'' Study SPDX v3 (and v2): SPDX is heavily RDF-centric. Demonstrating knowledge of how 3.0 maps to triples will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == '''Using SWHID to Identify Software Components''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project addresses a critical gap in software supply chain security and reproducibility: the connection between package-level identifiers (like package-name@version) and content-level identifiers (SWHIDs).<br /> <br /> ==== Background information ====<br /> <br /> Software Hash IDentifiers (SWHID) are a standardized way to identify software artifacts, based on content. The definition is officially adopted as ISO/IEC 18670:2025 and is available at https://swhid.org.<br /> <br /> However, most developers interact with software through package managers like Cargo (Rust), PyPI (Python), Maven (Java), or APT (Debian/Ubuntu). There is currently a &quot;semantic gap&quot; between the package version (e.g., requests 2.31.0) and its corresponding SWHID, which depends on its contents.<br /> <br /> ==== Project Description ====<br /> The goal of this project is to develop tooling that automatically computes, verifies, and publishes the SWHIDs for components across major package registries. By creating a verifiable mapping between package releases and SWHIDs, we can enable better SBOM integration, improved vulnerability tracking, and long-term reproducibility of the global software supply chain.<br /> <br /> This project will involve three main phases:<br /> <br /> - ''Computation and Archival:'' Build a pipeline to fetch packages from registries (like Crates.io, PyPI, Maven Central, etc.) and compute their SWHIDs locally to ensure integrity.<br /> <br /> - ''Mapping &amp; Verification:'' Generate a high-quality dataset that maps registry data (URL and version) to SWHID. This will require handling the specific packaging quirks of each ecosystem.<br /> <br /> - ''Publication:'' Publish these identifiers in a way that makes them useful to the community. This could include: contributing to a public lookup service or API; exporting mappings to SPDX format; or proposing metadata additions to the package registries themselves.<br /> <br /> ==== Expected Outcome ====<br /> <br /> - ''CLI Tool:'' A reusable utility that takes a package name/version and returns a verified SWHID.<br /> <br /> - ''Public Dataset:'' A comprehensive mapping of the most popular packages across ecosystems to their SWHIDs.<br /> <br /> - ''Documentation:'' A guide on how package maintainers can include SWHIDs in their own release workflows.<br /> <br /> - ''Upstream Contributions:'' (Stretch goal) Integration with tools like cargo-swhid or pyproject.toml plugins.<br /> <br /> ==== Duration of the Project ====<br /> Short or Regular or Long, depending on breadth and depth.<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://swhid.org<br /> <br /> ==== Knowledge Areas ====<br /> <br /> Python and bash scripting (for the solution), knowledge of other ecosystems (Rust, Java, etc.) is required to understand their packaging.<br /> <br /> ''Tip for your application:'' Study SWHID and the different ecosystems. Demonstrating understanding of ecosystem specific challenges will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> =='''Who is who: Alexandria3k entity disambiguation extentions'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The alexandria3k Python package supplies a command-line tool and an API providing fast and space-efficient relational query access to several large scientific publication open data sets. Data are decompressed on the fly, thus allowing the package's use even on storage-restricted laptops. This project will enhance Alexandria3k by integrating a scalable, high-precision author and affiliation disambiguation pipeline over Crossref metadata that does not rely on ORCID or ROR, using probabilistic clustering optimized for large-scale bibliometrics. We will implement aggressive normalization and blocking to control candidate growth, represent authors as paper-level mentions, and fuse lightweight, interpretable signals—name similarity, affiliation token overlap, co-author graph structure, venue/topic coherence, and temporal constraints—into conservative merge decisions that favor precision over recall. Disambiguation will be incremental and auditable, with stable cluster IDs, merge provenance, confidence scores, and an explicit “unknown” class to avoid over-merging common names. In parallel, we will cluster affiliation strings into canonical organization buckets using country-aware token blocking and city/org matching, enabling robust institution-level analyses even with noisy or missing data. Together, these additions will materially improve the reliability of author- and organization-centric metrics in Alexandria3k while remaining scalable, reproducible, and resilient to incomplete identifiers.<br /> <br /> ====Expected Results====<br /> <br /> New Alexandria3k actions to dissambiguate authors and organizations by adding corresponding fields in the populated database.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/alexandria3k<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python; machine learning; SQL<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> ='''Python bindings for Apothesis'''=<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on creating modern Python bindings for Apothesis to seamlessly connect its high-performance C++ core with Python-based AI workflows. While the existing C++ implementation delivers speed and efficiency for large-scale computation, the lack of native Python integration limits accessibility for researchers and machine learning practitioners who primarily work within Python ecosystems such as NumPy, PyTorch, and TensorFlow. The bindings will expose Apothesis’ core functionality through a clean, Pythonic API, preserving performance while ensuring memory safety and ease of installation. By bridging efficient C++ algorithms with Python’s flexibility and extensive AI tooling, this work enables rapid experimentation, smoother integration into machine learning pipelines, and broader adoption within the research community.<br /> <br /> ====Expected Results====<br /> The expected results of the project are the delivery of fully functional Python bindings for Apothesis that provide seamless access to its C++ core from Python. The bindings will expose the main computational components through a clean and intuitive API, while preserving the performance and efficiency of the underlying C++ implementation.The project will also include comprehensive documentation, usage examples, and unit tests to ensure reliability, maintainability, and ease of adoption. Overall, the outcome will be a stable, extensible interface that lowers the barrier to entry for researchers and developers, enabling faster experimentation, improved interoperability with machine learning pipelines, and broader community engagement.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> C++, python <br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos <br /> <br /> [[Κατηγορία:GSOC]]<br /> <br /> [[Category:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2520 2026-02-19T06:50:10Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> <br /> =='''Municipal Budget and Technical Program Visualization Tool'''==<br /> <br /> ====Brief Explanation====<br /> <br /> All 332 Greek municipalities publish annual budgets (προϋπολογισμοί) and technical programs (τεχνικά προγράμματα) as PDFs — hundreds of pages of financial data and infrastructure projects that citizens struggle to understand. This project will build a standalone tool that processes these PDFs, extracts structured data, and presents it through an accessible interface. Users will be able to search projects, track spending over time, compare municipalities, and visualize budget allocations. The tool will handle the varied PDF formats used across municipalities and be deployable for all 332 Greek municipalities with minimal configuration.<br /> <br /> This tool addresses a fundamental transparency gap in Greek local government. While budget data is technically public, it is practically inaccessible to citizens due to its format and complexity. OpenCouncil's network of 10+ municipal partners provides immediate access to real budget documents for development and testing, and a clear path to adoption across Greece. The tool will be fully open-source and designed for reuse by other civic tech initiatives. This project complements OpenCouncil's core mission of making municipal governance transparent and accessible.<br /> ====Expected Results====<br /> <br /> 1. PDF processing pipeline: Build robust extraction system that handles various PDF formats and structures, validate data quality <br /> 2.Data model and API: Design database schema, create API endpoints, implement search and comparison features <br /> 3. User interface and deployment: Build accessible frontend for exploring budgets and projects, deploy for multiple municipalities, write documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/schemalabz/opencouncil<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python, PDF processing, Data extraction, PostgreSQL, Next.js/React, Data visualization, greek language required<br /> ====Mentors====<br /> <br /> Andreas Kouloumos (andreas@opencouncil.gr), Christos Porios (christos@opencouncil.gr)<br /> <br /> <br /> <br /> =='''VS Code pluggin for CScout'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The objective of the proposed project is to create a Visual Studio Code plugin for accessing the functionality of the CScout source code analyzer and refactoring browser for collections of C programs.<br /> <br /> CScout can process workspaces of multiple projects (a project is defined as a collection of C source files that are linked together) mapping the complexity introduced by the C preprocessor back into the original C source code files. CScout takes advantage of modern hardware (fast processors and large memory capacities) to analyze C source code beyond the level of detail and accuracy provided by current compilers and linkers. The analysis CScout performs takes into account the identifier scopes introduced by the C preprocessor and the C language proper scopes and namespaces. CScout has already been applied on projects of tens of thousands of lines to millions of lines, like the Linux and FreeBSD kernels and the Apache web server.<br /> <br /> Having VSCode act as a front-end to CScout’s existing batch analysis will work as follows.<br /> * Trigger explicit runs (command palette / tasks), not on-save analysis.<br /> * Present results as:<br /> ** Navigable diagnostics<br /> ** Cross-reference views (definitions, uses, dependencies)<br /> ** Refactoring previews as diffs<br /> ** Project-wide facts (identifier scopes, file coupling, macro effects) that are otherwise buried in textual reports<br /> <br /> This will offer the following advantages<br /> * Lower adoption barrier: developers are far more likely to try CScout if results appear inside their editor instead of via reports or bespoke UIs.<br /> * Natural fit for whole-program analysis: VS Code already supports long-running, cancellable tasks with progress reporting.<br /> * Superior comprehension UX: jump-to-definition, peek views, code lenses, and diff previews make CScout’s semantic information immediately actionable.<br /> * Safer refactoring workflow: preview-first refactorings reduce fear of large, semantics-preserving transformations.<br /> * Separation of concerns: keeps CScout as a standalone engine while the plugin handles visualization and navigation.<br /> * Research leverage: enables realistic user studies (e.g., acceptance of large-scale refactorings, tolerance of latency).<br /> * Longevity and reuse: the same backend can serve CLI, CI, and IDE use; the plugin becomes a thin, replaceable shell.<br /> <br /> Thus the plugin will combine CScout’s strengths (macro-aware parsing, precise identifier resolution, and whole-system reasoning) that are hard to appreciate via static reports and tricky to use through the existing rudimentary web front-end. The VSCode plugin combines two open source software projects to provide immediate developer value.<br /> <br /> ====Expected Results====<br /> <br /> A VS Code plugin that can act as an interface to CScout<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/cscout<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Typescript, C/C++, VS Code API<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> =='''OpenTRIM'''==<br /> <br /> ====Brief Explanation====<br /> <br /> OpenTRIM is an open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises a set of C++ libraries, a command-line program for executing simulations in batch mode, and a Qt-based graphical user interface for configuring, running, and evaluating simulations. Several parts of the codebase require improvements and extensions.<br /> <br /> ====Expected Results====<br /> <br /> Real-time 3D visualization tool for simulated ion tracks<br /> <br /> Python bindings for running simulations and retrieving results directly from Python<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++<br /> <br /> Python (optional)<br /> <br /> OpenGL (optional)<br /> <br /> ====Mentors====<br /> <br /> George Apostolopoulos<br /> <br /> Michail Axiotis<br /> <br /> Eleni Mitsi<br /> <br /> =='''Open-Source AI Framework for Thermal Satellite Payload Data Analysis'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project aims to develop a general-purpose open-source AI framework for extracting high-level semantic information from thermal sensor payloads onboard satellites. The framework will support multiple application scenarios such as nighttime cloud detection and thermal event or anomaly monitoring on land and sea.<br /> <br /> The project focuses on building a reusable pipeline covering dataset creation and augmentation from real and synthetic thermal imagery, model training and benchmarking, and advanced analysis tools such as uncertainty quantification and explainability. The goal is to provide a practical and reproducible platform for thermal remote sensing applications in Earth observation and small satellite programs.<br /> <br /> ====Expected Results====<br /> <br /> Modular AI pipeline for thermal satellite data processing<br /> <br /> Dataset extraction, preprocessing and labeling workflows<br /> <br /> Baseline and benchmarked ML/DL models<br /> <br /> Uncertainty quantification methods<br /> <br /> Explainability tools<br /> <br /> Public open-source releases with documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/Orion-AI-Lab<br /> <br /> https://github.com/Orion-AI-Lab/TIRAuxCloud<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python<br /> <br /> Machine Learning / Deep Learning (PyTorch or similar)<br /> <br /> Image processing fundamentals<br /> <br /> Geospatial / satellite imagery familiarity<br /> <br /> Interest in remote sensing and explainable AI<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Alexis Apostolakis<br /> <br /> Simon Vellas<br /> <br /> =='''Command &amp; Data Handling Software for Open-Source CubeSat FlatSat Testbed'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The CubeSat FlatSat testbed is a ground-based platform for deploying and testing onboard AI algorithms, end-to-end processing pipelines, and avionics software/hardware. It supports onboard processing validation and serves as a development platform for university student projects and future open-source CubeSat missions.<br /> <br /> ====Expected Results====<br /> <br /> C&amp;DH flight software on STM32 with FreeRTOS<br /> <br /> Inter-subsystem communication using CSP over CAN<br /> <br /> NASA cFS-inspired modular architecture<br /> <br /> Zenoh middleware for high-bandwidth payload data<br /> <br /> Unit tests and integration tests<br /> <br /> Architecture documentation and developer guides<br /> <br /> Public open-source release on GitHub<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/omega-space-group<br /> <br /> https://github.com/omega-space-group/orion-cubesat-testbed<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python and C<br /> <br /> Embedded systems development<br /> <br /> FreeRTOS<br /> <br /> CAN bus &amp; networking protocols<br /> <br /> STM32 toolchain familiarity<br /> <br /> Interest in satellite systems and flight software<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Simon Vellas<br /> <br /> <br /> <br /> =='''GlossAPI: Needs-Driven Evolution of the Dataset Production Pipeline for Greek Language Data'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on improving the GlossAPI dataset production pipeline by addressing practical limitations and gaps that emerge as new datasets are processed and published.<br /> <br /> As the scope and volume of Greek-language datasets handled by GlossAPI continue to grow, the pipeline must evolve to remain maintainable, reliable, and adaptable to new use cases. The contributor will work on the reconstruction and evolution of parts of the pipeline, guided by operational needs encountered during dataset ingestion, processing, and publication.<br /> <br /> The work will emphasize improvements to the pipeline’s maintainability and usability, while enabling richer interaction and input scenarios that better reflect how Greek-language data is accessed and processed in practice. This includes exploring enhancements related to workflow execution, interaction mechanisms, data acquisition paths, and challenges specific to Greek-language and OCR-derived content.<br /> ====Expected Results====<br /> <br /> * Improved maintainability of the GlossAPI pipeline codebase<br /> * Targeted improvements addressing real usage issues in dataset ingestion and processing<br /> * Enhanced support for diverse data sources and interaction patterns<br /> * Incremental improvements tailored to the characteristics of Greek-language data<br /> * Documentation and usage notes supporting long-term sustainability and onboarding<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, experience with data processing pipelines <br /> <br /> ====Mentors====<br /> <br /> Dimitrios Athanasopoulos, Nikos Tsekos<br /> <br /> =='''GlossAPI: ML-assisted Anonymization Layer and Targeted Pipeline Improvements for Greek Datasets'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on extending GlossAPI with a production-ready anonymization layer for Greek text datasets, addressing a critical need for privacy-preserving dataset publication, while also contributing targeted updates to the existing pipeline based on requirements that emerge during its evolution.<br /> <br /> The core of the project is the design and implementation of an ML-assisted anonymization module that detects and masks sensitive personal information (such as names, emails, phone numbers, and organizations) in Greek text. Due to the linguistic characteristics of Greek and the presence of OCR noise in many datasets, the anonymization layer will explore and evaluate multiple approaches, including rule-based techniques and ML-based methods such as Named Entity Recognition, potentially using transformer-based or other state-of-the-art models depending on empirical results.<br /> <br /> ====Expected Results====<br /> <br /> * Integrated anonymization module for Greek text datasets within GlossAPI<br /> * Detection and masking of common personal identifiers (names, emails, phone numbers, organizations)<br /> * Targeted updates to specific parts of the GlossAPI pipeline, limited to what is necessary to support anonymization<br /> * Documentation and usage examples for maintainers and future contributors<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, Basic NLP/ML concepts, and Regular expressions. <br /> <br /> ====Mentors====<br /> <br /> Myrsini Ioannou, Nikos Tsekos, Dimitrios Athanasopoulos<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> <br /> == '''Unified SBOM Management via RDF Database Abstraction''' ==<br /> <br /> ==== Brief Explanation ====<br /> Software Bill of Materials (SBOM) documents, specifically in the ISO standard SPDX format, are becoming the cornerstone of software supply chain security. As the volume of SBOM data grows, simple file-based storage is no longer sufficient for complex analysis and cross-referencing. This project aims to develop a suite of tools to ingest, store, and extract SPDX documents using RDF databases (Triplestores). By utilizing the triplestore Python library, these tools will remain database-agnostic, allowing users to seamlessly switch between backends like Apache Jena, AllegroGraph, Blazegraph, GraphDB, and Oxigraph without changing the codebase.<br /> <br /> ==== Background information ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> For GSoC 2025, a Python library abstracting some commonly used databases was developed.<br /> <br /> SBOM data in SPDX format can be serialized in RDF, and therefore can be stored in such databases.<br /> <br /> ==== Project Description ====<br /> The current SPDX ecosystem relies heavily on flat files (JSON, RDF/XML, or even Tag-Value for SPDXv2). While effective for transport, these files are difficult to query at scale—for example, when looking for a specific vulnerable component across thousands of SBOMs. Since SPDXv3 is natively based on an knowledge graph model, storing it in a RDF Triplestore is the most logical and powerful way to handle this data. However, different RDF databases have varying APIs and connection protocols.<br /> <br /> This project will leverage the triplestore library (which provides a high-level Python abstraction) to build tools that:<br /> <br /> - ''Ingest:'' Parse SPDX documents (multi-format support) and map them to the unified RDF store.<br /> <br /> - ''Extract:'' Reconstruct valid SPDX documents from the database based on specific queries (e.g., &quot;Export the SBOM for Project X version 1.2&quot;).<br /> <br /> - ''Manage:'' Provide basic management functions like listing stored SBOMs, deleting old versions, and validating data integrity.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a number of well-documented tools that can operate on SBOM data. These will allow users to seemlessly move between SPDX documents and RDF databases.<br /> <br /> An indicative list of tools and deliverables is:<br /> <br /> - ''SBOM-to-Store Ingestor:'' A CLI tool to upload SPDX documents (v2 and v3) into any supported triplestore.<br /> <br /> - ''Store-to-SBOM Exporter:'' A tool to query the database and output a standard-compliant SPDX file.<br /> <br /> - ''Database Management Utilities:'' Tools for basic CRUD operations on the stored SBOM data.<br /> <br /> - ''Test Suite:'' A comprehensive set of tests to verify the abstraction works.<br /> <br /> - ''Documentation:'' User guide for the CLI tools and developer documentation for the API.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://github.com/eellak/triplestore<br /> <br /> - https://github.com/spdx/tools-python<br /> <br /> - https://github.com/RDFLib/rdflib<br /> <br /> - https://spdx.github.io/spdx-spec<br /> <br /> ==== Knowledge Areas ====<br /> Python3, RDF, SPARQL, SPDX specifications.<br /> <br /> ''Tip for your application:'' Study SPDX v3 (and v2): SPDX is heavily RDF-centric. Demonstrating knowledge of how 3.0 maps to triples will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == '''Using SWHID to Identify Software Components''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project addresses a critical gap in software supply chain security and reproducibility: the connection between package-level identifiers (like package-name@version) and content-level identifiers (SWHIDs).<br /> <br /> ==== Background information ====<br /> <br /> Software Hash IDentifiers (SWHID) are a standardized way to identify software artifacts, based on content. The definition is officially adopted as ISO/IEC 18670:2025 and is available at https://swhid.org.<br /> <br /> However, most developers interact with software through package managers like Cargo (Rust), PyPI (Python), Maven (Java), or APT (Debian/Ubuntu). There is currently a &quot;semantic gap&quot; between the package version (e.g., requests 2.31.0) and its corresponding SWHID, which depends on its contents.<br /> <br /> ==== Project Description ====<br /> The goal of this project is to develop tooling that automatically computes, verifies, and publishes the SWHIDs for components across major package registries. By creating a verifiable mapping between package releases and SWHIDs, we can enable better SBOM integration, improved vulnerability tracking, and long-term reproducibility of the global software supply chain.<br /> <br /> This project will involve three main phases:<br /> <br /> - ''Computation and Archival:'' Build a pipeline to fetch packages from registries (like Crates.io, PyPI, Maven Central, etc.) and compute their SWHIDs locally to ensure integrity.<br /> <br /> - ''Mapping &amp; Verification:'' Generate a high-quality dataset that maps registry data (URL and version) to SWHID. This will require handling the specific packaging quirks of each ecosystem.<br /> <br /> - ''Publication:'' Publish these identifiers in a way that makes them useful to the community. This could include: contributing to a public lookup service or API; exporting mappings to SPDX format; or proposing metadata additions to the package registries themselves.<br /> <br /> ==== Expected Outcome ====<br /> <br /> - ''CLI Tool:'' A reusable utility that takes a package name/version and returns a verified SWHID.<br /> <br /> - ''Public Dataset:'' A comprehensive mapping of the most popular packages across ecosystems to their SWHIDs.<br /> <br /> - ''Documentation:'' A guide on how package maintainers can include SWHIDs in their own release workflows.<br /> <br /> - ''Upstream Contributions:'' (Stretch goal) Integration with tools like cargo-swhid or pyproject.toml plugins.<br /> <br /> ==== Duration of the Project ====<br /> Short or Regular or Long, depending on breadth and depth.<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://swhid.org<br /> <br /> ==== Knowledge Areas ====<br /> <br /> Python and bash scripting (for the solution), knowledge of other ecosystems (Rust, Java, etc.) is required to understand their packaging.<br /> <br /> ''Tip for your application:'' Study SWHID and the different ecosystems. Demonstrating understanding of ecosystem specific challenges will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> =='''Who is who: Alexandria3k entity disambiguation extentions'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The alexandria3k Python package supplies a command-line tool and an API providing fast and space-efficient relational query access to several large scientific publication open data sets. Data are decompressed on the fly, thus allowing the package's use even on storage-restricted laptops. This project will enhance Alexandria3k by integrating a scalable, high-precision author and affiliation disambiguation pipeline over Crossref metadata that does not rely on ORCID or ROR, using probabilistic clustering optimized for large-scale bibliometrics. We will implement aggressive normalization and blocking to control candidate growth, represent authors as paper-level mentions, and fuse lightweight, interpretable signals—name similarity, affiliation token overlap, co-author graph structure, venue/topic coherence, and temporal constraints—into conservative merge decisions that favor precision over recall. Disambiguation will be incremental and auditable, with stable cluster IDs, merge provenance, confidence scores, and an explicit “unknown” class to avoid over-merging common names. In parallel, we will cluster affiliation strings into canonical organization buckets using country-aware token blocking and city/org matching, enabling robust institution-level analyses even with noisy or missing data. Together, these additions will materially improve the reliability of author- and organization-centric metrics in Alexandria3k while remaining scalable, reproducible, and resilient to incomplete identifiers.<br /> <br /> ====Expected Results====<br /> <br /> New Alexandria3k actions to dissambiguate authors and organizations by adding corresponding fields in the populated database.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/alexandria3k<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python; machine learning; SQL<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> ='''Python bindings for Apothesis'''=<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on creating modern Python bindings for Apothesis to seamlessly connect its high-performance C++ core with Python-based AI workflows. While the existing C++ implementation delivers speed and efficiency for large-scale computation, the lack of native Python integration limits accessibility for researchers and machine learning practitioners who primarily work within Python ecosystems such as NumPy, PyTorch, and TensorFlow. The bindings will expose Apothesis’ core functionality through a clean, Pythonic API, preserving performance while ensuring memory safety and ease of installation. By bridging efficient C++ algorithms with Python’s flexibility and extensive AI tooling, this work enables rapid experimentation, smoother integration into machine learning pipelines, and broader adoption within the research community.<br /> <br /> ====Expected Results====<br /> The expected results of the project are the delivery of fully functional Python bindings for Apothesis that provide seamless access to its C++ core from Python. The bindings will expose the main computational components through a clean and intuitive API, while preserving the performance and efficiency of the underlying C++ implementation.The project will also include comprehensive documentation, usage examples, and unit tests to ensure reliability, maintainability, and ease of adoption. Overall, the outcome will be a stable, extensible interface that lowers the barrier to entry for researchers and developers, enabling faster experimentation, improved interoperability with machine learning pipelines, and broader community engagement.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> C++, python <br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos <br /> <br /> [[Κατηγορία:GSOC]]<br /> <br /> [[Category:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2516 2026-02-12T08:46:12Z

<p>Pkst: /* Python bindings for Apothesis= */</p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> <br /> =='''VS Code pluggin for CScout'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The objective of the proposed project is to create a Visual Studio Code plugin for accessing the functionality of the CScout source code analyzer and refactoring browser for collections of C programs.<br /> <br /> CScout can process workspaces of multiple projects (a project is defined as a collection of C source files that are linked together) mapping the complexity introduced by the C preprocessor back into the original C source code files. CScout takes advantage of modern hardware (fast processors and large memory capacities) to analyze C source code beyond the level of detail and accuracy provided by current compilers and linkers. The analysis CScout performs takes into account the identifier scopes introduced by the C preprocessor and the C language proper scopes and namespaces. CScout has already been applied on projects of tens of thousands of lines to millions of lines, like the Linux and FreeBSD kernels and the Apache web server.<br /> <br /> Having VSCode act as a front-end to CScout’s existing batch analysis will work as follows.<br /> * Trigger explicit runs (command palette / tasks), not on-save analysis.<br /> * Present results as:<br /> ** Navigable diagnostics<br /> ** Cross-reference views (definitions, uses, dependencies)<br /> ** Refactoring previews as diffs<br /> ** Project-wide facts (identifier scopes, file coupling, macro effects) that are otherwise buried in textual reports<br /> <br /> This will offer the following advantages<br /> * Lower adoption barrier: developers are far more likely to try CScout if results appear inside their editor instead of via reports or bespoke UIs.<br /> * Natural fit for whole-program analysis: VS Code already supports long-running, cancellable tasks with progress reporting.<br /> * Superior comprehension UX: jump-to-definition, peek views, code lenses, and diff previews make CScout’s semantic information immediately actionable.<br /> * Safer refactoring workflow: preview-first refactorings reduce fear of large, semantics-preserving transformations.<br /> * Separation of concerns: keeps CScout as a standalone engine while the plugin handles visualization and navigation.<br /> * Research leverage: enables realistic user studies (e.g., acceptance of large-scale refactorings, tolerance of latency).<br /> * Longevity and reuse: the same backend can serve CLI, CI, and IDE use; the plugin becomes a thin, replaceable shell.<br /> <br /> Thus the plugin will combine CScout’s strengths (macro-aware parsing, precise identifier resolution, and whole-system reasoning) that are hard to appreciate via static reports and tricky to use through the existing rudimentary web front-end. The VSCode plugin combines two open source software projects to provide immediate developer value.<br /> <br /> ====Expected Results====<br /> <br /> A VS Code plugin that can act as an interface to CScout<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/cscout<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Typescript, C/C++, VS Code API<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> =='''OpenTRIM'''==<br /> <br /> ====Brief Explanation====<br /> <br /> OpenTRIM is an open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises a set of C++ libraries, a command-line program for executing simulations in batch mode, and a Qt-based graphical user interface for configuring, running, and evaluating simulations. Several parts of the codebase require improvements and extensions.<br /> <br /> ====Expected Results====<br /> <br /> Real-time 3D visualization tool for simulated ion tracks<br /> <br /> Python bindings for running simulations and retrieving results directly from Python<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++<br /> <br /> Python (optional)<br /> <br /> OpenGL (optional)<br /> <br /> ====Mentors====<br /> <br /> George Apostolopoulos<br /> <br /> Michail Axiotis<br /> <br /> Eleni Mitsi<br /> <br /> =='''Open-Source AI Framework for Thermal Satellite Payload Data Analysis'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project aims to develop a general-purpose open-source AI framework for extracting high-level semantic information from thermal sensor payloads onboard satellites. The framework will support multiple application scenarios such as nighttime cloud detection and thermal event or anomaly monitoring on land and sea.<br /> <br /> The project focuses on building a reusable pipeline covering dataset creation and augmentation from real and synthetic thermal imagery, model training and benchmarking, and advanced analysis tools such as uncertainty quantification and explainability. The goal is to provide a practical and reproducible platform for thermal remote sensing applications in Earth observation and small satellite programs.<br /> <br /> ====Expected Results====<br /> <br /> Modular AI pipeline for thermal satellite data processing<br /> <br /> Dataset extraction, preprocessing and labeling workflows<br /> <br /> Baseline and benchmarked ML/DL models<br /> <br /> Uncertainty quantification methods<br /> <br /> Explainability tools<br /> <br /> Public open-source releases with documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/Orion-AI-Lab<br /> <br /> https://github.com/Orion-AI-Lab/TIRAuxCloud<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python<br /> <br /> Machine Learning / Deep Learning (PyTorch or similar)<br /> <br /> Image processing fundamentals<br /> <br /> Geospatial / satellite imagery familiarity<br /> <br /> Interest in remote sensing and explainable AI<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Alexis Apostolakis<br /> <br /> Simon Vellas<br /> <br /> =='''Command &amp; Data Handling Software for Open-Source CubeSat FlatSat Testbed'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The CubeSat FlatSat testbed is a ground-based platform for deploying and testing onboard AI algorithms, end-to-end processing pipelines, and avionics software/hardware. It supports onboard processing validation and serves as a development platform for university student projects and future open-source CubeSat missions.<br /> <br /> ====Expected Results====<br /> <br /> C&amp;DH flight software on STM32 with FreeRTOS<br /> <br /> Inter-subsystem communication using CSP over CAN<br /> <br /> NASA cFS-inspired modular architecture<br /> <br /> Zenoh middleware for high-bandwidth payload data<br /> <br /> Unit tests and integration tests<br /> <br /> Architecture documentation and developer guides<br /> <br /> Public open-source release on GitHub<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/omega-space-group<br /> <br /> https://github.com/omega-space-group/orion-cubesat-testbed<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python and C<br /> <br /> Embedded systems development<br /> <br /> FreeRTOS<br /> <br /> CAN bus &amp; networking protocols<br /> <br /> STM32 toolchain familiarity<br /> <br /> Interest in satellite systems and flight software<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Simon Vellas<br /> <br /> <br /> <br /> =='''GlossAPI: Needs-Driven Evolution of the Dataset Production Pipeline for Greek Language Data'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on improving the GlossAPI dataset production pipeline by addressing practical limitations and gaps that emerge as new datasets are processed and published.<br /> <br /> As the scope and volume of Greek-language datasets handled by GlossAPI continue to grow, the pipeline must evolve to remain maintainable, reliable, and adaptable to new use cases. The contributor will work on the reconstruction and evolution of parts of the pipeline, guided by operational needs encountered during dataset ingestion, processing, and publication.<br /> <br /> The work will emphasize improvements to the pipeline’s maintainability and usability, while enabling richer interaction and input scenarios that better reflect how Greek-language data is accessed and processed in practice. This includes exploring enhancements related to workflow execution, interaction mechanisms, data acquisition paths, and challenges specific to Greek-language and OCR-derived content.<br /> ====Expected Results====<br /> <br /> * Improved maintainability of the GlossAPI pipeline codebase<br /> * Targeted improvements addressing real usage issues in dataset ingestion and processing<br /> * Enhanced support for diverse data sources and interaction patterns<br /> * Incremental improvements tailored to the characteristics of Greek-language data<br /> * Documentation and usage notes supporting long-term sustainability and onboarding<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, experience with data processing pipelines <br /> <br /> ====Mentors====<br /> <br /> Dimitris Athanasopoulos, Nikos Tsekos<br /> <br /> =='''GlossAPI: ML-assisted Anonymization Layer and Targeted Pipeline Improvements for Greek Datasets'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on extending GlossAPI with a production-ready anonymization layer for Greek text datasets, addressing a critical need for privacy-preserving dataset publication, while also contributing targeted updates to the existing pipeline based on requirements that emerge during its evolution.<br /> <br /> The core of the project is the design and implementation of an ML-assisted anonymization module that detects and masks sensitive personal information (such as names, emails, phone numbers, and organizations) in Greek text. Due to the linguistic characteristics of Greek and the presence of OCR noise in many datasets, the anonymization layer will explore and evaluate multiple approaches, including rule-based techniques and ML-based methods such as Named Entity Recognition, potentially using transformer-based or other state-of-the-art models depending on empirical results.<br /> <br /> ====Expected Results====<br /> <br /> * Integrated anonymization module for Greek text datasets within GlossAPI<br /> * Detection and masking of common personal identifiers (names, emails, phone numbers, organizations)<br /> * Targeted updates to specific parts of the GlossAPI pipeline, limited to what is necessary to support anonymization<br /> * Documentation and usage examples for maintainers and future contributors<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, Basic NLP/ML concepts, and Regular expressions. <br /> <br /> ====Mentors====<br /> <br /> Myrsini Ioannou, Nikos Tsekos, Dimitris Athanasopoulos<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> <br /> == '''Unified SBOM Management via RDF Database Abstraction''' ==<br /> <br /> ==== Brief Explanation ====<br /> Software Bill of Materials (SBOM) documents, specifically in the ISO standard SPDX format, are becoming the cornerstone of software supply chain security. As the volume of SBOM data grows, simple file-based storage is no longer sufficient for complex analysis and cross-referencing. This project aims to develop a suite of tools to ingest, store, and extract SPDX documents using RDF databases (Triplestores). By utilizing the triplestore Python library, these tools will remain database-agnostic, allowing users to seamlessly switch between backends like Apache Jena, AllegroGraph, Blazegraph, GraphDB, and Oxigraph without changing the codebase.<br /> <br /> ==== Background information ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> For GSoC 2025, a Python library abstracting some commonly used databases was developed.<br /> <br /> SBOM data in SPDX format can be serialized in RDF, and therefore can be stored in such databases.<br /> <br /> ==== Project Description ====<br /> The current SPDX ecosystem relies heavily on flat files (JSON, RDF/XML, or even Tag-Value for SPDXv2). While effective for transport, these files are difficult to query at scale—for example, when looking for a specific vulnerable component across thousands of SBOMs. Since SPDXv3 is natively based on an knowledge graph model, storing it in a RDF Triplestore is the most logical and powerful way to handle this data. However, different RDF databases have varying APIs and connection protocols.<br /> <br /> This project will leverage the triplestore library (which provides a high-level Python abstraction) to build tools that:<br /> <br /> - ''Ingest:'' Parse SPDX documents (multi-format support) and map them to the unified RDF store.<br /> <br /> - ''Extract:'' Reconstruct valid SPDX documents from the database based on specific queries (e.g., &quot;Export the SBOM for Project X version 1.2&quot;).<br /> <br /> - ''Manage:'' Provide basic management functions like listing stored SBOMs, deleting old versions, and validating data integrity.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a number of well-documented tools that can operate on SBOM data. These will allow users to seemlessly move between SPDX documents and RDF databases.<br /> <br /> An indicative list of tools and deliverables is:<br /> <br /> - ''SBOM-to-Store Ingestor:'' A CLI tool to upload SPDX documents (v2 and v3) into any supported triplestore.<br /> <br /> - ''Store-to-SBOM Exporter:'' A tool to query the database and output a standard-compliant SPDX file.<br /> <br /> - ''Database Management Utilities:'' Tools for basic CRUD operations on the stored SBOM data.<br /> <br /> - ''Test Suite:'' A comprehensive set of tests to verify the abstraction works.<br /> <br /> - ''Documentation:'' User guide for the CLI tools and developer documentation for the API.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://github.com/eellak/triplestore<br /> <br /> - https://github.com/spdx/tools-python<br /> <br /> - https://github.com/RDFLib/rdflib<br /> <br /> - https://spdx.github.io/spdx-spec<br /> <br /> ==== Knowledge Areas ====<br /> Python3, RDF, SPARQL, SPDX specifications.<br /> <br /> ''Tip for your application:'' Study SPDX v3 (and v2): SPDX is heavily RDF-centric. Demonstrating knowledge of how 3.0 maps to triples will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == '''Using SWHID to Identify Software Components''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project addresses a critical gap in software supply chain security and reproducibility: the connection between package-level identifiers (like package-name@version) and content-level identifiers (SWHIDs).<br /> <br /> ==== Background information ====<br /> <br /> Software Hash IDentifiers (SWHID) are a standardized way to identify software artifacts, based on content. The definition is officially adopted as ISO/IEC 18670:2025 and is available at https://swhid.org.<br /> <br /> However, most developers interact with software through package managers like Cargo (Rust), PyPI (Python), Maven (Java), or APT (Debian/Ubuntu). There is currently a &quot;semantic gap&quot; between the package version (e.g., requests 2.31.0) and its corresponding SWHID, which depends on its contents.<br /> <br /> ==== Project Description ====<br /> The goal of this project is to develop tooling that automatically computes, verifies, and publishes the SWHIDs for components across major package registries. By creating a verifiable mapping between package releases and SWHIDs, we can enable better SBOM integration, improved vulnerability tracking, and long-term reproducibility of the global software supply chain.<br /> <br /> This project will involve three main phases:<br /> <br /> - ''Computation and Archival:'' Build a pipeline to fetch packages from registries (like Crates.io, PyPI, Maven Central, etc.) and compute their SWHIDs locally to ensure integrity.<br /> <br /> - ''Mapping &amp; Verification:'' Generate a high-quality dataset that maps registry data (URL and version) to SWHID. This will require handling the specific packaging quirks of each ecosystem.<br /> <br /> - ''Publication:'' Publish these identifiers in a way that makes them useful to the community. This could include: contributing to a public lookup service or API; exporting mappings to SPDX format; or proposing metadata additions to the package registries themselves.<br /> <br /> ==== Expected Outcome ====<br /> <br /> - ''CLI Tool:'' A reusable utility that takes a package name/version and returns a verified SWHID.<br /> <br /> - ''Public Dataset:'' A comprehensive mapping of the most popular packages across ecosystems to their SWHIDs.<br /> <br /> - ''Documentation:'' A guide on how package maintainers can include SWHIDs in their own release workflows.<br /> <br /> - ''Upstream Contributions:'' (Stretch goal) Integration with tools like cargo-swhid or pyproject.toml plugins.<br /> <br /> ==== Duration of the Project ====<br /> Short or Regular or Long, depending on breadth and depth.<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://swhid.org<br /> <br /> ==== Knowledge Areas ====<br /> <br /> Python and bash scripting (for the solution), knowledge of other ecosystems (Rust, Java, etc.) is required to understand their packaging.<br /> <br /> ''Tip for your application:'' Study SWHID and the different ecosystems. Demonstrating understanding of ecosystem specific challenges will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> =='''Who is who: Alexandria3k entity disambiguation extentions'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The alexandria3k Python package supplies a command-line tool and an API providing fast and space-efficient relational query access to several large scientific publication open data sets. Data are decompressed on the fly, thus allowing the package's use even on storage-restricted laptops. This project will enhance Alexandria3k by integrating a scalable, high-precision author and affiliation disambiguation pipeline over Crossref metadata that does not rely on ORCID or ROR, using probabilistic clustering optimized for large-scale bibliometrics. We will implement aggressive normalization and blocking to control candidate growth, represent authors as paper-level mentions, and fuse lightweight, interpretable signals—name similarity, affiliation token overlap, co-author graph structure, venue/topic coherence, and temporal constraints—into conservative merge decisions that favor precision over recall. Disambiguation will be incremental and auditable, with stable cluster IDs, merge provenance, confidence scores, and an explicit “unknown” class to avoid over-merging common names. In parallel, we will cluster affiliation strings into canonical organization buckets using country-aware token blocking and city/org matching, enabling robust institution-level analyses even with noisy or missing data. Together, these additions will materially improve the reliability of author- and organization-centric metrics in Alexandria3k while remaining scalable, reproducible, and resilient to incomplete identifiers.<br /> <br /> ====Expected Results====<br /> <br /> New Alexandria3k actions to dissambiguate authors and organizations by adding corresponding fields in the populated database.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/alexandria3k<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python; machine learning; SQL<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> ='''Python bindings for Apothesis'''=<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on creating modern Python bindings for Apothesis to seamlessly connect its high-performance C++ core with Python-based AI workflows. While the existing C++ implementation delivers speed and efficiency for large-scale computation, the lack of native Python integration limits accessibility for researchers and machine learning practitioners who primarily work within Python ecosystems such as NumPy, PyTorch, and TensorFlow. The bindings will expose Apothesis’ core functionality through a clean, Pythonic API, preserving performance while ensuring memory safety and ease of installation. By bridging efficient C++ algorithms with Python’s flexibility and extensive AI tooling, this work enables rapid experimentation, smoother integration into machine learning pipelines, and broader adoption within the research community.<br /> <br /> ====Expected Results====<br /> The expected results of the project are the delivery of fully functional Python bindings for Apothesis that provide seamless access to its C++ core from Python. The bindings will expose the main computational components through a clean and intuitive API, while preserving the performance and efficiency of the underlying C++ implementation.The project will also include comprehensive documentation, usage examples, and unit tests to ensure reliability, maintainability, and ease of adoption. Overall, the outcome will be a stable, extensible interface that lowers the barrier to entry for researchers and developers, enabling faster experimentation, improved interoperability with machine learning pipelines, and broader community engagement.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> C++, python <br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos <br /> <br /> [[Κατηγορία:GSOC]]<br /> <br /> [[Category:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2515 2026-02-12T08:44:20Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> <br /> =='''VS Code pluggin for CScout'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The objective of the proposed project is to create a Visual Studio Code plugin for accessing the functionality of the CScout source code analyzer and refactoring browser for collections of C programs.<br /> <br /> CScout can process workspaces of multiple projects (a project is defined as a collection of C source files that are linked together) mapping the complexity introduced by the C preprocessor back into the original C source code files. CScout takes advantage of modern hardware (fast processors and large memory capacities) to analyze C source code beyond the level of detail and accuracy provided by current compilers and linkers. The analysis CScout performs takes into account the identifier scopes introduced by the C preprocessor and the C language proper scopes and namespaces. CScout has already been applied on projects of tens of thousands of lines to millions of lines, like the Linux and FreeBSD kernels and the Apache web server.<br /> <br /> Having VSCode act as a front-end to CScout’s existing batch analysis will work as follows.<br /> * Trigger explicit runs (command palette / tasks), not on-save analysis.<br /> * Present results as:<br /> ** Navigable diagnostics<br /> ** Cross-reference views (definitions, uses, dependencies)<br /> ** Refactoring previews as diffs<br /> ** Project-wide facts (identifier scopes, file coupling, macro effects) that are otherwise buried in textual reports<br /> <br /> This will offer the following advantages<br /> * Lower adoption barrier: developers are far more likely to try CScout if results appear inside their editor instead of via reports or bespoke UIs.<br /> * Natural fit for whole-program analysis: VS Code already supports long-running, cancellable tasks with progress reporting.<br /> * Superior comprehension UX: jump-to-definition, peek views, code lenses, and diff previews make CScout’s semantic information immediately actionable.<br /> * Safer refactoring workflow: preview-first refactorings reduce fear of large, semantics-preserving transformations.<br /> * Separation of concerns: keeps CScout as a standalone engine while the plugin handles visualization and navigation.<br /> * Research leverage: enables realistic user studies (e.g., acceptance of large-scale refactorings, tolerance of latency).<br /> * Longevity and reuse: the same backend can serve CLI, CI, and IDE use; the plugin becomes a thin, replaceable shell.<br /> <br /> Thus the plugin will combine CScout’s strengths (macro-aware parsing, precise identifier resolution, and whole-system reasoning) that are hard to appreciate via static reports and tricky to use through the existing rudimentary web front-end. The VSCode plugin combines two open source software projects to provide immediate developer value.<br /> <br /> ====Expected Results====<br /> <br /> A VS Code plugin that can act as an interface to CScout<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/cscout<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Typescript, C/C++, VS Code API<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> =='''OpenTRIM'''==<br /> <br /> ====Brief Explanation====<br /> <br /> OpenTRIM is an open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises a set of C++ libraries, a command-line program for executing simulations in batch mode, and a Qt-based graphical user interface for configuring, running, and evaluating simulations. Several parts of the codebase require improvements and extensions.<br /> <br /> ====Expected Results====<br /> <br /> Real-time 3D visualization tool for simulated ion tracks<br /> <br /> Python bindings for running simulations and retrieving results directly from Python<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++<br /> <br /> Python (optional)<br /> <br /> OpenGL (optional)<br /> <br /> ====Mentors====<br /> <br /> George Apostolopoulos<br /> <br /> Michail Axiotis<br /> <br /> Eleni Mitsi<br /> <br /> =='''Open-Source AI Framework for Thermal Satellite Payload Data Analysis'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project aims to develop a general-purpose open-source AI framework for extracting high-level semantic information from thermal sensor payloads onboard satellites. The framework will support multiple application scenarios such as nighttime cloud detection and thermal event or anomaly monitoring on land and sea.<br /> <br /> The project focuses on building a reusable pipeline covering dataset creation and augmentation from real and synthetic thermal imagery, model training and benchmarking, and advanced analysis tools such as uncertainty quantification and explainability. The goal is to provide a practical and reproducible platform for thermal remote sensing applications in Earth observation and small satellite programs.<br /> <br /> ====Expected Results====<br /> <br /> Modular AI pipeline for thermal satellite data processing<br /> <br /> Dataset extraction, preprocessing and labeling workflows<br /> <br /> Baseline and benchmarked ML/DL models<br /> <br /> Uncertainty quantification methods<br /> <br /> Explainability tools<br /> <br /> Public open-source releases with documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/Orion-AI-Lab<br /> <br /> https://github.com/Orion-AI-Lab/TIRAuxCloud<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python<br /> <br /> Machine Learning / Deep Learning (PyTorch or similar)<br /> <br /> Image processing fundamentals<br /> <br /> Geospatial / satellite imagery familiarity<br /> <br /> Interest in remote sensing and explainable AI<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Alexis Apostolakis<br /> <br /> Simon Vellas<br /> <br /> =='''Command &amp; Data Handling Software for Open-Source CubeSat FlatSat Testbed'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The CubeSat FlatSat testbed is a ground-based platform for deploying and testing onboard AI algorithms, end-to-end processing pipelines, and avionics software/hardware. It supports onboard processing validation and serves as a development platform for university student projects and future open-source CubeSat missions.<br /> <br /> ====Expected Results====<br /> <br /> C&amp;DH flight software on STM32 with FreeRTOS<br /> <br /> Inter-subsystem communication using CSP over CAN<br /> <br /> NASA cFS-inspired modular architecture<br /> <br /> Zenoh middleware for high-bandwidth payload data<br /> <br /> Unit tests and integration tests<br /> <br /> Architecture documentation and developer guides<br /> <br /> Public open-source release on GitHub<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/omega-space-group<br /> <br /> https://github.com/omega-space-group/orion-cubesat-testbed<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python and C<br /> <br /> Embedded systems development<br /> <br /> FreeRTOS<br /> <br /> CAN bus &amp; networking protocols<br /> <br /> STM32 toolchain familiarity<br /> <br /> Interest in satellite systems and flight software<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Simon Vellas<br /> <br /> <br /> <br /> =='''GlossAPI: Needs-Driven Evolution of the Dataset Production Pipeline for Greek Language Data'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on improving the GlossAPI dataset production pipeline by addressing practical limitations and gaps that emerge as new datasets are processed and published.<br /> <br /> As the scope and volume of Greek-language datasets handled by GlossAPI continue to grow, the pipeline must evolve to remain maintainable, reliable, and adaptable to new use cases. The contributor will work on the reconstruction and evolution of parts of the pipeline, guided by operational needs encountered during dataset ingestion, processing, and publication.<br /> <br /> The work will emphasize improvements to the pipeline’s maintainability and usability, while enabling richer interaction and input scenarios that better reflect how Greek-language data is accessed and processed in practice. This includes exploring enhancements related to workflow execution, interaction mechanisms, data acquisition paths, and challenges specific to Greek-language and OCR-derived content.<br /> ====Expected Results====<br /> <br /> * Improved maintainability of the GlossAPI pipeline codebase<br /> * Targeted improvements addressing real usage issues in dataset ingestion and processing<br /> * Enhanced support for diverse data sources and interaction patterns<br /> * Incremental improvements tailored to the characteristics of Greek-language data<br /> * Documentation and usage notes supporting long-term sustainability and onboarding<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, experience with data processing pipelines <br /> <br /> ====Mentors====<br /> <br /> Dimitris Athanasopoulos, Nikos Tsekos<br /> <br /> =='''GlossAPI: ML-assisted Anonymization Layer and Targeted Pipeline Improvements for Greek Datasets'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on extending GlossAPI with a production-ready anonymization layer for Greek text datasets, addressing a critical need for privacy-preserving dataset publication, while also contributing targeted updates to the existing pipeline based on requirements that emerge during its evolution.<br /> <br /> The core of the project is the design and implementation of an ML-assisted anonymization module that detects and masks sensitive personal information (such as names, emails, phone numbers, and organizations) in Greek text. Due to the linguistic characteristics of Greek and the presence of OCR noise in many datasets, the anonymization layer will explore and evaluate multiple approaches, including rule-based techniques and ML-based methods such as Named Entity Recognition, potentially using transformer-based or other state-of-the-art models depending on empirical results.<br /> <br /> ====Expected Results====<br /> <br /> * Integrated anonymization module for Greek text datasets within GlossAPI<br /> * Detection and masking of common personal identifiers (names, emails, phone numbers, organizations)<br /> * Targeted updates to specific parts of the GlossAPI pipeline, limited to what is necessary to support anonymization<br /> * Documentation and usage examples for maintainers and future contributors<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, Basic NLP/ML concepts, and Regular expressions. <br /> <br /> ====Mentors====<br /> <br /> Myrsini Ioannou, Nikos Tsekos, Dimitris Athanasopoulos<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> <br /> == '''Unified SBOM Management via RDF Database Abstraction''' ==<br /> <br /> ==== Brief Explanation ====<br /> Software Bill of Materials (SBOM) documents, specifically in the ISO standard SPDX format, are becoming the cornerstone of software supply chain security. As the volume of SBOM data grows, simple file-based storage is no longer sufficient for complex analysis and cross-referencing. This project aims to develop a suite of tools to ingest, store, and extract SPDX documents using RDF databases (Triplestores). By utilizing the triplestore Python library, these tools will remain database-agnostic, allowing users to seamlessly switch between backends like Apache Jena, AllegroGraph, Blazegraph, GraphDB, and Oxigraph without changing the codebase.<br /> <br /> ==== Background information ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> For GSoC 2025, a Python library abstracting some commonly used databases was developed.<br /> <br /> SBOM data in SPDX format can be serialized in RDF, and therefore can be stored in such databases.<br /> <br /> ==== Project Description ====<br /> The current SPDX ecosystem relies heavily on flat files (JSON, RDF/XML, or even Tag-Value for SPDXv2). While effective for transport, these files are difficult to query at scale—for example, when looking for a specific vulnerable component across thousands of SBOMs. Since SPDXv3 is natively based on an knowledge graph model, storing it in a RDF Triplestore is the most logical and powerful way to handle this data. However, different RDF databases have varying APIs and connection protocols.<br /> <br /> This project will leverage the triplestore library (which provides a high-level Python abstraction) to build tools that:<br /> <br /> - ''Ingest:'' Parse SPDX documents (multi-format support) and map them to the unified RDF store.<br /> <br /> - ''Extract:'' Reconstruct valid SPDX documents from the database based on specific queries (e.g., &quot;Export the SBOM for Project X version 1.2&quot;).<br /> <br /> - ''Manage:'' Provide basic management functions like listing stored SBOMs, deleting old versions, and validating data integrity.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a number of well-documented tools that can operate on SBOM data. These will allow users to seemlessly move between SPDX documents and RDF databases.<br /> <br /> An indicative list of tools and deliverables is:<br /> <br /> - ''SBOM-to-Store Ingestor:'' A CLI tool to upload SPDX documents (v2 and v3) into any supported triplestore.<br /> <br /> - ''Store-to-SBOM Exporter:'' A tool to query the database and output a standard-compliant SPDX file.<br /> <br /> - ''Database Management Utilities:'' Tools for basic CRUD operations on the stored SBOM data.<br /> <br /> - ''Test Suite:'' A comprehensive set of tests to verify the abstraction works.<br /> <br /> - ''Documentation:'' User guide for the CLI tools and developer documentation for the API.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://github.com/eellak/triplestore<br /> <br /> - https://github.com/spdx/tools-python<br /> <br /> - https://github.com/RDFLib/rdflib<br /> <br /> - https://spdx.github.io/spdx-spec<br /> <br /> ==== Knowledge Areas ====<br /> Python3, RDF, SPARQL, SPDX specifications.<br /> <br /> ''Tip for your application:'' Study SPDX v3 (and v2): SPDX is heavily RDF-centric. Demonstrating knowledge of how 3.0 maps to triples will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == '''Using SWHID to Identify Software Components''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project addresses a critical gap in software supply chain security and reproducibility: the connection between package-level identifiers (like package-name@version) and content-level identifiers (SWHIDs).<br /> <br /> ==== Background information ====<br /> <br /> Software Hash IDentifiers (SWHID) are a standardized way to identify software artifacts, based on content. The definition is officially adopted as ISO/IEC 18670:2025 and is available at https://swhid.org.<br /> <br /> However, most developers interact with software through package managers like Cargo (Rust), PyPI (Python), Maven (Java), or APT (Debian/Ubuntu). There is currently a &quot;semantic gap&quot; between the package version (e.g., requests 2.31.0) and its corresponding SWHID, which depends on its contents.<br /> <br /> ==== Project Description ====<br /> The goal of this project is to develop tooling that automatically computes, verifies, and publishes the SWHIDs for components across major package registries. By creating a verifiable mapping between package releases and SWHIDs, we can enable better SBOM integration, improved vulnerability tracking, and long-term reproducibility of the global software supply chain.<br /> <br /> This project will involve three main phases:<br /> <br /> - ''Computation and Archival:'' Build a pipeline to fetch packages from registries (like Crates.io, PyPI, Maven Central, etc.) and compute their SWHIDs locally to ensure integrity.<br /> <br /> - ''Mapping &amp; Verification:'' Generate a high-quality dataset that maps registry data (URL and version) to SWHID. This will require handling the specific packaging quirks of each ecosystem.<br /> <br /> - ''Publication:'' Publish these identifiers in a way that makes them useful to the community. This could include: contributing to a public lookup service or API; exporting mappings to SPDX format; or proposing metadata additions to the package registries themselves.<br /> <br /> ==== Expected Outcome ====<br /> <br /> - ''CLI Tool:'' A reusable utility that takes a package name/version and returns a verified SWHID.<br /> <br /> - ''Public Dataset:'' A comprehensive mapping of the most popular packages across ecosystems to their SWHIDs.<br /> <br /> - ''Documentation:'' A guide on how package maintainers can include SWHIDs in their own release workflows.<br /> <br /> - ''Upstream Contributions:'' (Stretch goal) Integration with tools like cargo-swhid or pyproject.toml plugins.<br /> <br /> ==== Duration of the Project ====<br /> Short or Regular or Long, depending on breadth and depth.<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://swhid.org<br /> <br /> ==== Knowledge Areas ====<br /> <br /> Python and bash scripting (for the solution), knowledge of other ecosystems (Rust, Java, etc.) is required to understand their packaging.<br /> <br /> ''Tip for your application:'' Study SWHID and the different ecosystems. Demonstrating understanding of ecosystem specific challenges will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> =='''Who is who: Alexandria3k entity disambiguation extentions'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The alexandria3k Python package supplies a command-line tool and an API providing fast and space-efficient relational query access to several large scientific publication open data sets. Data are decompressed on the fly, thus allowing the package's use even on storage-restricted laptops. This project will enhance Alexandria3k by integrating a scalable, high-precision author and affiliation disambiguation pipeline over Crossref metadata that does not rely on ORCID or ROR, using probabilistic clustering optimized for large-scale bibliometrics. We will implement aggressive normalization and blocking to control candidate growth, represent authors as paper-level mentions, and fuse lightweight, interpretable signals—name similarity, affiliation token overlap, co-author graph structure, venue/topic coherence, and temporal constraints—into conservative merge decisions that favor precision over recall. Disambiguation will be incremental and auditable, with stable cluster IDs, merge provenance, confidence scores, and an explicit “unknown” class to avoid over-merging common names. In parallel, we will cluster affiliation strings into canonical organization buckets using country-aware token blocking and city/org matching, enabling robust institution-level analyses even with noisy or missing data. Together, these additions will materially improve the reliability of author- and organization-centric metrics in Alexandria3k while remaining scalable, reproducible, and resilient to incomplete identifiers.<br /> <br /> ====Expected Results====<br /> <br /> New Alexandria3k actions to dissambiguate authors and organizations by adding corresponding fields in the populated database.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/alexandria3k<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python; machine learning; SQL<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> ='''Python bindings for Apothesis'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on creating modern Python bindings for Apothesis to seamlessly connect its high-performance C++ core with Python-based AI workflows. While the existing C++ implementation delivers speed and efficiency for large-scale computation, the lack of native Python integration limits accessibility for researchers and machine learning practitioners who primarily work within Python ecosystems such as NumPy, PyTorch, and TensorFlow. The bindings will expose Apothesis’ core functionality through a clean, Pythonic API, preserving performance while ensuring memory safety and ease of installation. By bridging efficient C++ algorithms with Python’s flexibility and extensive AI tooling, this work enables rapid experimentation, smoother integration into machine learning pipelines, and broader adoption within the research community.<br /> <br /> ====Expected Results====<br /> The expected results of the project are the delivery of fully functional Python bindings for Apothesis that provide seamless access to its C++ core from Python. The bindings will expose the main computational components through a clean and intuitive API, while preserving the performance and efficiency of the underlying C++ implementation.The project will also include comprehensive documentation, usage examples, and unit tests to ensure reliability, maintainability, and ease of adoption. Overall, the outcome will be a stable, extensible interface that lowers the barrier to entry for researchers and developers, enabling faster experimentation, improved interoperability with machine learning pipelines, and broader community engagement.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> C++, python <br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos <br /> <br /> [[Κατηγορία:GSOC]]<br /> <br /> [[Category:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2514 2026-02-10T07:33:27Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> <br /> =='''VS Code pluggin for CScout'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The objective of the proposed project is to create a Visual Studio Code plugin for accessing the functionality of the CScout source code analyzer and refactoring browser for collections of C programs.<br /> <br /> CScout can process workspaces of multiple projects (a project is defined as a collection of C source files that are linked together) mapping the complexity introduced by the C preprocessor back into the original C source code files. CScout takes advantage of modern hardware (fast processors and large memory capacities) to analyze C source code beyond the level of detail and accuracy provided by current compilers and linkers. The analysis CScout performs takes into account the identifier scopes introduced by the C preprocessor and the C language proper scopes and namespaces. CScout has already been applied on projects of tens of thousands of lines to millions of lines, like the Linux and FreeBSD kernels and the Apache web server.<br /> <br /> Having VSCode act as a front-end to CScout’s existing batch analysis will work as follows.<br /> * Trigger explicit runs (command palette / tasks), not on-save analysis.<br /> * Present results as:<br /> ** Navigable diagnostics<br /> ** Cross-reference views (definitions, uses, dependencies)<br /> ** Refactoring previews as diffs<br /> ** Project-wide facts (identifier scopes, file coupling, macro effects) that are otherwise buried in textual reports<br /> <br /> This will offer the following advantages<br /> * Lower adoption barrier: developers are far more likely to try CScout if results appear inside their editor instead of via reports or bespoke UIs.<br /> * Natural fit for whole-program analysis: VS Code already supports long-running, cancellable tasks with progress reporting.<br /> * Superior comprehension UX: jump-to-definition, peek views, code lenses, and diff previews make CScout’s semantic information immediately actionable.<br /> * Safer refactoring workflow: preview-first refactorings reduce fear of large, semantics-preserving transformations.<br /> * Separation of concerns: keeps CScout as a standalone engine while the plugin handles visualization and navigation.<br /> * Research leverage: enables realistic user studies (e.g., acceptance of large-scale refactorings, tolerance of latency).<br /> * Longevity and reuse: the same backend can serve CLI, CI, and IDE use; the plugin becomes a thin, replaceable shell.<br /> <br /> Thus the plugin will combine CScout’s strengths (macro-aware parsing, precise identifier resolution, and whole-system reasoning) that are hard to appreciate via static reports and tricky to use through the existing rudimentary web front-end. The VSCode plugin combines two open source software projects to provide immediate developer value.<br /> <br /> ====Expected Results====<br /> <br /> A VS Code plugin that can act as an interface to CScout<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/cscout<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Typescript, C/C++, VS Code API<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> =='''OpenTRIM'''==<br /> <br /> ====Brief Explanation====<br /> <br /> OpenTRIM is an open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises a set of C++ libraries, a command-line program for executing simulations in batch mode, and a Qt-based graphical user interface for configuring, running, and evaluating simulations. Several parts of the codebase require improvements and extensions.<br /> <br /> ====Expected Results====<br /> <br /> Real-time 3D visualization tool for simulated ion tracks<br /> <br /> Python bindings for running simulations and retrieving results directly from Python<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++<br /> <br /> Python (optional)<br /> <br /> OpenGL (optional)<br /> <br /> ====Mentors====<br /> <br /> George Apostolopoulos<br /> <br /> Michail Axiotis<br /> <br /> Eleni Mitsi<br /> <br /> =='''Open-Source AI Framework for Thermal Satellite Payload Data Analysis'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project aims to develop a general-purpose open-source AI framework for extracting high-level semantic information from thermal sensor payloads onboard satellites. The framework will support multiple application scenarios such as nighttime cloud detection and thermal event or anomaly monitoring on land and sea.<br /> <br /> The project focuses on building a reusable pipeline covering dataset creation and augmentation from real and synthetic thermal imagery, model training and benchmarking, and advanced analysis tools such as uncertainty quantification and explainability. The goal is to provide a practical and reproducible platform for thermal remote sensing applications in Earth observation and small satellite programs.<br /> <br /> ====Expected Results====<br /> <br /> Modular AI pipeline for thermal satellite data processing<br /> <br /> Dataset extraction, preprocessing and labeling workflows<br /> <br /> Baseline and benchmarked ML/DL models<br /> <br /> Uncertainty quantification methods<br /> <br /> Explainability tools<br /> <br /> Public open-source releases with documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/Orion-AI-Lab<br /> <br /> https://github.com/Orion-AI-Lab/TIRAuxCloud<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python<br /> <br /> Machine Learning / Deep Learning (PyTorch or similar)<br /> <br /> Image processing fundamentals<br /> <br /> Geospatial / satellite imagery familiarity<br /> <br /> Interest in remote sensing and explainable AI<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Alexis Apostolakis<br /> <br /> Simon Vellas<br /> <br /> =='''Command &amp; Data Handling Software for Open-Source CubeSat FlatSat Testbed'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The CubeSat FlatSat testbed is a ground-based platform for deploying and testing onboard AI algorithms, end-to-end processing pipelines, and avionics software/hardware. It supports onboard processing validation and serves as a development platform for university student projects and future open-source CubeSat missions.<br /> <br /> ====Expected Results====<br /> <br /> C&amp;DH flight software on STM32 with FreeRTOS<br /> <br /> Inter-subsystem communication using CSP over CAN<br /> <br /> NASA cFS-inspired modular architecture<br /> <br /> Zenoh middleware for high-bandwidth payload data<br /> <br /> Unit tests and integration tests<br /> <br /> Architecture documentation and developer guides<br /> <br /> Public open-source release on GitHub<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/omega-space-group<br /> <br /> https://github.com/omega-space-group/orion-cubesat-testbed<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python and C<br /> <br /> Embedded systems development<br /> <br /> FreeRTOS<br /> <br /> CAN bus &amp; networking protocols<br /> <br /> STM32 toolchain familiarity<br /> <br /> Interest in satellite systems and flight software<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Simon Vellas<br /> <br /> <br /> <br /> =='''GlossAPI: Needs-Driven Evolution of the Dataset Production Pipeline for Greek Language Data'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on improving the GlossAPI dataset production pipeline by addressing practical limitations and gaps that emerge as new datasets are processed and published.<br /> <br /> As the scope and volume of Greek-language datasets handled by GlossAPI continue to grow, the pipeline must evolve to remain maintainable, reliable, and adaptable to new use cases. The contributor will work on the reconstruction and evolution of parts of the pipeline, guided by operational needs encountered during dataset ingestion, processing, and publication.<br /> <br /> The work will emphasize improvements to the pipeline’s maintainability and usability, while enabling richer interaction and input scenarios that better reflect how Greek-language data is accessed and processed in practice. This includes exploring enhancements related to workflow execution, interaction mechanisms, data acquisition paths, and challenges specific to Greek-language and OCR-derived content.<br /> ====Expected Results====<br /> <br /> * Improved maintainability of the GlossAPI pipeline codebase<br /> * Targeted improvements addressing real usage issues in dataset ingestion and processing<br /> * Enhanced support for diverse data sources and interaction patterns<br /> * Incremental improvements tailored to the characteristics of Greek-language data<br /> * Documentation and usage notes supporting long-term sustainability and onboarding<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, experience with data processing pipelines <br /> <br /> ====Mentors====<br /> <br /> Dimitris Athanasopoulos, Nikos Tsekos<br /> <br /> =='''GlossAPI: ML-assisted Anonymization Layer and Targeted Pipeline Improvements for Greek Datasets'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on extending GlossAPI with a production-ready anonymization layer for Greek text datasets, addressing a critical need for privacy-preserving dataset publication, while also contributing targeted updates to the existing pipeline based on requirements that emerge during its evolution.<br /> <br /> The core of the project is the design and implementation of an ML-assisted anonymization module that detects and masks sensitive personal information (such as names, emails, phone numbers, and organizations) in Greek text. Due to the linguistic characteristics of Greek and the presence of OCR noise in many datasets, the anonymization layer will explore and evaluate multiple approaches, including rule-based techniques and ML-based methods such as Named Entity Recognition, potentially using transformer-based or other state-of-the-art models depending on empirical results.<br /> <br /> ====Expected Results====<br /> <br /> * Integrated anonymization module for Greek text datasets within GlossAPI<br /> * Detection and masking of common personal identifiers (names, emails, phone numbers, organizations)<br /> * Targeted updates to specific parts of the GlossAPI pipeline, limited to what is necessary to support anonymization<br /> * Documentation and usage examples for maintainers and future contributors<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, Basic NLP/ML concepts, and Regular expressions. <br /> <br /> ====Mentors====<br /> <br /> Myrsini Ioannou, Nikos Tsekos, Dimitris Athanasopoulos<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> <br /> == '''Unified SBOM Management via RDF Database Abstraction''' ==<br /> <br /> ==== Brief Explanation ====<br /> Software Bill of Materials (SBOM) documents, specifically in the ISO standard SPDX format, are becoming the cornerstone of software supply chain security. As the volume of SBOM data grows, simple file-based storage is no longer sufficient for complex analysis and cross-referencing. This project aims to develop a suite of tools to ingest, store, and extract SPDX documents using RDF databases (Triplestores). By utilizing the triplestore Python library, these tools will remain database-agnostic, allowing users to seamlessly switch between backends like Apache Jena, AllegroGraph, Blazegraph, GraphDB, and Oxigraph without changing the codebase.<br /> <br /> ==== Background information ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> For GSoC 2025, a Python library abstracting some commonly used databases was developed.<br /> <br /> SBOM data in SPDX format can be serialized in RDF, and therefore can be stored in such databases.<br /> <br /> ==== Project Description ====<br /> The current SPDX ecosystem relies heavily on flat files (JSON, RDF/XML, or even Tag-Value for SPDXv2). While effective for transport, these files are difficult to query at scale—for example, when looking for a specific vulnerable component across thousands of SBOMs. Since SPDXv3 is natively based on an knowledge graph model, storing it in a RDF Triplestore is the most logical and powerful way to handle this data. However, different RDF databases have varying APIs and connection protocols.<br /> <br /> This project will leverage the triplestore library (which provides a high-level Python abstraction) to build tools that:<br /> <br /> - ''Ingest:'' Parse SPDX documents (multi-format support) and map them to the unified RDF store.<br /> <br /> - ''Extract:'' Reconstruct valid SPDX documents from the database based on specific queries (e.g., &quot;Export the SBOM for Project X version 1.2&quot;).<br /> <br /> - ''Manage:'' Provide basic management functions like listing stored SBOMs, deleting old versions, and validating data integrity.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a number of well-documented tools that can operate on SBOM data. These will allow users to seemlessly move between SPDX documents and RDF databases.<br /> <br /> An indicative list of tools and deliverables is:<br /> <br /> - ''SBOM-to-Store Ingestor:'' A CLI tool to upload SPDX documents (v2 and v3) into any supported triplestore.<br /> <br /> - ''Store-to-SBOM Exporter:'' A tool to query the database and output a standard-compliant SPDX file.<br /> <br /> - ''Database Management Utilities:'' Tools for basic CRUD operations on the stored SBOM data.<br /> <br /> - ''Test Suite:'' A comprehensive set of tests to verify the abstraction works.<br /> <br /> - ''Documentation:'' User guide for the CLI tools and developer documentation for the API.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://github.com/eellak/triplestore<br /> <br /> - https://github.com/spdx/tools-python<br /> <br /> - https://github.com/RDFLib/rdflib<br /> <br /> - https://spdx.github.io/spdx-spec<br /> <br /> ==== Knowledge Areas ====<br /> Python3, RDF, SPARQL, SPDX specifications.<br /> <br /> ''Tip for your application:'' Study SPDX v3 (and v2): SPDX is heavily RDF-centric. Demonstrating knowledge of how 3.0 maps to triples will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == '''Using SWHID to Identify Software Components''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project addresses a critical gap in software supply chain security and reproducibility: the connection between package-level identifiers (like package-name@version) and content-level identifiers (SWHIDs).<br /> <br /> ==== Background information ====<br /> <br /> Software Hash IDentifiers (SWHID) are a standardized way to identify software artifacts, based on content. The definition is officially adopted as ISO/IEC 18670:2025 and is available at https://swhid.org.<br /> <br /> However, most developers interact with software through package managers like Cargo (Rust), PyPI (Python), Maven (Java), or APT (Debian/Ubuntu). There is currently a &quot;semantic gap&quot; between the package version (e.g., requests 2.31.0) and its corresponding SWHID, which depends on its contents.<br /> <br /> ==== Project Description ====<br /> The goal of this project is to develop tooling that automatically computes, verifies, and publishes the SWHIDs for components across major package registries. By creating a verifiable mapping between package releases and SWHIDs, we can enable better SBOM integration, improved vulnerability tracking, and long-term reproducibility of the global software supply chain.<br /> <br /> This project will involve three main phases:<br /> <br /> - ''Computation and Archival:'' Build a pipeline to fetch packages from registries (like Crates.io, PyPI, Maven Central, etc.) and compute their SWHIDs locally to ensure integrity.<br /> <br /> - ''Mapping &amp; Verification:'' Generate a high-quality dataset that maps registry data (URL and version) to SWHID. This will require handling the specific packaging quirks of each ecosystem.<br /> <br /> - ''Publication:'' Publish these identifiers in a way that makes them useful to the community. This could include: contributing to a public lookup service or API; exporting mappings to SPDX format; or proposing metadata additions to the package registries themselves.<br /> <br /> ==== Expected Outcome ====<br /> <br /> - ''CLI Tool:'' A reusable utility that takes a package name/version and returns a verified SWHID.<br /> <br /> - ''Public Dataset:'' A comprehensive mapping of the most popular packages across ecosystems to their SWHIDs.<br /> <br /> - ''Documentation:'' A guide on how package maintainers can include SWHIDs in their own release workflows.<br /> <br /> - ''Upstream Contributions:'' (Stretch goal) Integration with tools like cargo-swhid or pyproject.toml plugins.<br /> <br /> ==== Duration of the Project ====<br /> Short or Regular or Long, depending on breadth and depth.<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://swhid.org<br /> <br /> ==== Knowledge Areas ====<br /> <br /> Python and bash scripting (for the solution), knowledge of other ecosystems (Rust, Java, etc.) is required to understand their packaging.<br /> <br /> ''Tip for your application:'' Study SWHID and the different ecosystems. Demonstrating understanding of ecosystem specific challenges will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> =='''Who is who: Alexandria3k entity disambiguation extentions'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The alexandria3k Python package supplies a command-line tool and an API providing fast and space-efficient relational query access to several large scientific publication open data sets. Data are decompressed on the fly, thus allowing the package's use even on storage-restricted laptops. This project will enhance Alexandria3k by integrating a scalable, high-precision author and affiliation disambiguation pipeline over Crossref metadata that does not rely on ORCID or ROR, using probabilistic clustering optimized for large-scale bibliometrics. We will implement aggressive normalization and blocking to control candidate growth, represent authors as paper-level mentions, and fuse lightweight, interpretable signals—name similarity, affiliation token overlap, co-author graph structure, venue/topic coherence, and temporal constraints—into conservative merge decisions that favor precision over recall. Disambiguation will be incremental and auditable, with stable cluster IDs, merge provenance, confidence scores, and an explicit “unknown” class to avoid over-merging common names. In parallel, we will cluster affiliation strings into canonical organization buckets using country-aware token blocking and city/org matching, enabling robust institution-level analyses even with noisy or missing data. Together, these additions will materially improve the reliability of author- and organization-centric metrics in Alexandria3k while remaining scalable, reproducible, and resilient to incomplete identifiers.<br /> <br /> ====Expected Results====<br /> <br /> New Alexandria3k actions to dissambiguate authors and organizations by adding corresponding fields in the populated database.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/alexandria3k<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python; machine learning; SQL<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2513 2026-02-10T07:31:01Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> =='''Who is who: Alexandria3k entity disambiguation extentions'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The alexandria3k Python package supplies a command-line tool and an API providing fast and space-efficient relational query access to several large scientific publication open data sets. Data are decompressed on the fly, thus allowing the package's use even on storage-restricted laptops. This project will enhance Alexandria3k by integrating a scalable, high-precision author and affiliation disambiguation pipeline over Crossref metadata that does not rely on ORCID or ROR, using probabilistic clustering optimized for large-scale bibliometrics. We will implement aggressive normalization and blocking to control candidate growth, represent authors as paper-level mentions, and fuse lightweight, interpretable signals—name similarity, affiliation token overlap, co-author graph structure, venue/topic coherence, and temporal constraints—into conservative merge decisions that favor precision over recall. Disambiguation will be incremental and auditable, with stable cluster IDs, merge provenance, confidence scores, and an explicit “unknown” class to avoid over-merging common names. In parallel, we will cluster affiliation strings into canonical organization buckets using country-aware token blocking and city/org matching, enabling robust institution-level analyses even with noisy or missing data. Together, these additions will materially improve the reliability of author- and organization-centric metrics in Alexandria3k while remaining scalable, reproducible, and resilient to incomplete identifiers.<br /> <br /> ====Expected Results====<br /> <br /> New Alexandria3k actions to dissambiguate authors and organizations by adding corresponding fields in the populated database.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/alexandria3k<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python; machine learning; SQL<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> <br /> =='''VS Code pluggin for CScout'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The objective of the proposed project is to create a Visual Studio Code plugin for accessing the functionality of the CScout source code analyzer and refactoring browser for collections of C programs.<br /> <br /> CScout can process workspaces of multiple projects (a project is defined as a collection of C source files that are linked together) mapping the complexity introduced by the C preprocessor back into the original C source code files. CScout takes advantage of modern hardware (fast processors and large memory capacities) to analyze C source code beyond the level of detail and accuracy provided by current compilers and linkers. The analysis CScout performs takes into account the identifier scopes introduced by the C preprocessor and the C language proper scopes and namespaces. CScout has already been applied on projects of tens of thousands of lines to millions of lines, like the Linux and FreeBSD kernels and the Apache web server.<br /> <br /> Having VSCode act as a front-end to CScout’s existing batch analysis will work as follows.<br /> * Trigger explicit runs (command palette / tasks), not on-save analysis.<br /> * Present results as:<br /> ** Navigable diagnostics<br /> ** Cross-reference views (definitions, uses, dependencies)<br /> ** Refactoring previews as diffs<br /> ** Project-wide facts (identifier scopes, file coupling, macro effects) that are otherwise buried in textual reports<br /> <br /> This will offer the following advantages<br /> * Lower adoption barrier: developers are far more likely to try CScout if results appear inside their editor instead of via reports or bespoke UIs.<br /> * Natural fit for whole-program analysis: VS Code already supports long-running, cancellable tasks with progress reporting.<br /> * Superior comprehension UX: jump-to-definition, peek views, code lenses, and diff previews make CScout’s semantic information immediately actionable.<br /> * Safer refactoring workflow: preview-first refactorings reduce fear of large, semantics-preserving transformations.<br /> * Separation of concerns: keeps CScout as a standalone engine while the plugin handles visualization and navigation.<br /> * Research leverage: enables realistic user studies (e.g., acceptance of large-scale refactorings, tolerance of latency).<br /> * Longevity and reuse: the same backend can serve CLI, CI, and IDE use; the plugin becomes a thin, replaceable shell.<br /> <br /> Thus the plugin will combine CScout’s strengths (macro-aware parsing, precise identifier resolution, and whole-system reasoning) that are hard to appreciate via static reports and tricky to use through the existing rudimentary web front-end. The VSCode plugin combines two open source software projects to provide immediate developer value.<br /> <br /> ====Expected Results====<br /> <br /> A VS Code plugin that can act as an interface to CScout<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/cscout<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Typescript, C/C++, VS Code API<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> =='''OpenTRIM'''==<br /> <br /> ====Brief Explanation====<br /> <br /> OpenTRIM is an open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises a set of C++ libraries, a command-line program for executing simulations in batch mode, and a Qt-based graphical user interface for configuring, running, and evaluating simulations. Several parts of the codebase require improvements and extensions.<br /> <br /> ====Expected Results====<br /> <br /> Real-time 3D visualization tool for simulated ion tracks<br /> <br /> Python bindings for running simulations and retrieving results directly from Python<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++<br /> <br /> Python (optional)<br /> <br /> OpenGL (optional)<br /> <br /> ====Mentors====<br /> <br /> George Apostolopoulos<br /> <br /> Michail Axiotis<br /> <br /> Eleni Mitsi<br /> <br /> =='''Open-Source AI Framework for Thermal Satellite Payload Data Analysis'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project aims to develop a general-purpose open-source AI framework for extracting high-level semantic information from thermal sensor payloads onboard satellites. The framework will support multiple application scenarios such as nighttime cloud detection and thermal event or anomaly monitoring on land and sea.<br /> <br /> The project focuses on building a reusable pipeline covering dataset creation and augmentation from real and synthetic thermal imagery, model training and benchmarking, and advanced analysis tools such as uncertainty quantification and explainability. The goal is to provide a practical and reproducible platform for thermal remote sensing applications in Earth observation and small satellite programs.<br /> <br /> ====Expected Results====<br /> <br /> Modular AI pipeline for thermal satellite data processing<br /> <br /> Dataset extraction, preprocessing and labeling workflows<br /> <br /> Baseline and benchmarked ML/DL models<br /> <br /> Uncertainty quantification methods<br /> <br /> Explainability tools<br /> <br /> Public open-source releases with documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/Orion-AI-Lab<br /> <br /> https://github.com/Orion-AI-Lab/TIRAuxCloud<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python<br /> <br /> Machine Learning / Deep Learning (PyTorch or similar)<br /> <br /> Image processing fundamentals<br /> <br /> Geospatial / satellite imagery familiarity<br /> <br /> Interest in remote sensing and explainable AI<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Alexis Apostolakis<br /> <br /> Simon Vellas<br /> <br /> =='''Command &amp; Data Handling Software for Open-Source CubeSat FlatSat Testbed'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The CubeSat FlatSat testbed is a ground-based platform for deploying and testing onboard AI algorithms, end-to-end processing pipelines, and avionics software/hardware. It supports onboard processing validation and serves as a development platform for university student projects and future open-source CubeSat missions.<br /> <br /> ====Expected Results====<br /> <br /> C&amp;DH flight software on STM32 with FreeRTOS<br /> <br /> Inter-subsystem communication using CSP over CAN<br /> <br /> NASA cFS-inspired modular architecture<br /> <br /> Zenoh middleware for high-bandwidth payload data<br /> <br /> Unit tests and integration tests<br /> <br /> Architecture documentation and developer guides<br /> <br /> Public open-source release on GitHub<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/omega-space-group<br /> <br /> https://github.com/omega-space-group/orion-cubesat-testbed<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python and C<br /> <br /> Embedded systems development<br /> <br /> FreeRTOS<br /> <br /> CAN bus &amp; networking protocols<br /> <br /> STM32 toolchain familiarity<br /> <br /> Interest in satellite systems and flight software<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Simon Vellas<br /> <br /> <br /> <br /> =='''GlossAPI: Needs-Driven Evolution of the Dataset Production Pipeline for Greek Language Data'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on improving the GlossAPI dataset production pipeline by addressing practical limitations and gaps that emerge as new datasets are processed and published.<br /> <br /> As the scope and volume of Greek-language datasets handled by GlossAPI continue to grow, the pipeline must evolve to remain maintainable, reliable, and adaptable to new use cases. The contributor will work on the reconstruction and evolution of parts of the pipeline, guided by operational needs encountered during dataset ingestion, processing, and publication.<br /> <br /> The work will emphasize improvements to the pipeline’s maintainability and usability, while enabling richer interaction and input scenarios that better reflect how Greek-language data is accessed and processed in practice. This includes exploring enhancements related to workflow execution, interaction mechanisms, data acquisition paths, and challenges specific to Greek-language and OCR-derived content.<br /> ====Expected Results====<br /> <br /> * Improved maintainability of the GlossAPI pipeline codebase<br /> * Targeted improvements addressing real usage issues in dataset ingestion and processing<br /> * Enhanced support for diverse data sources and interaction patterns<br /> * Incremental improvements tailored to the characteristics of Greek-language data<br /> * Documentation and usage notes supporting long-term sustainability and onboarding<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, experience with data processing pipelines <br /> <br /> ====Mentors====<br /> <br /> Dimitris Athanasopoulos, Nikos Tsekos<br /> <br /> =='''GlossAPI: ML-assisted Anonymization Layer and Targeted Pipeline Improvements for Greek Datasets'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on extending GlossAPI with a production-ready anonymization layer for Greek text datasets, addressing a critical need for privacy-preserving dataset publication, while also contributing targeted updates to the existing pipeline based on requirements that emerge during its evolution.<br /> <br /> The core of the project is the design and implementation of an ML-assisted anonymization module that detects and masks sensitive personal information (such as names, emails, phone numbers, and organizations) in Greek text. Due to the linguistic characteristics of Greek and the presence of OCR noise in many datasets, the anonymization layer will explore and evaluate multiple approaches, including rule-based techniques and ML-based methods such as Named Entity Recognition, potentially using transformer-based or other state-of-the-art models depending on empirical results.<br /> <br /> ====Expected Results====<br /> <br /> * Integrated anonymization module for Greek text datasets within GlossAPI<br /> * Detection and masking of common personal identifiers (names, emails, phone numbers, organizations)<br /> * Targeted updates to specific parts of the GlossAPI pipeline, limited to what is necessary to support anonymization<br /> * Documentation and usage examples for maintainers and future contributors<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, Basic NLP/ML concepts, and Regular expressions. <br /> <br /> ====Mentors====<br /> <br /> Myrsini Ioannou, Nikos Tsekos, Dimitris Athanasopoulos<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> <br /> == '''Unified SBOM Management via RDF Database Abstraction''' ==<br /> <br /> ==== Brief Explanation ====<br /> Software Bill of Materials (SBOM) documents, specifically in the ISO standard SPDX format, are becoming the cornerstone of software supply chain security. As the volume of SBOM data grows, simple file-based storage is no longer sufficient for complex analysis and cross-referencing. This project aims to develop a suite of tools to ingest, store, and extract SPDX documents using RDF databases (Triplestores). By utilizing the triplestore Python library, these tools will remain database-agnostic, allowing users to seamlessly switch between backends like Apache Jena, AllegroGraph, Blazegraph, GraphDB, and Oxigraph without changing the codebase.<br /> <br /> ==== Background information ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> For GSoC 2025, a Python library abstracting some commonly used databases was developed.<br /> <br /> SBOM data in SPDX format can be serialized in RDF, and therefore can be stored in such databases.<br /> <br /> ==== Project Description ====<br /> The current SPDX ecosystem relies heavily on flat files (JSON, RDF/XML, or even Tag-Value for SPDXv2). While effective for transport, these files are difficult to query at scale—for example, when looking for a specific vulnerable component across thousands of SBOMs. Since SPDXv3 is natively based on an knowledge graph model, storing it in a RDF Triplestore is the most logical and powerful way to handle this data. However, different RDF databases have varying APIs and connection protocols.<br /> <br /> This project will leverage the triplestore library (which provides a high-level Python abstraction) to build tools that:<br /> <br /> - ''Ingest:'' Parse SPDX documents (multi-format support) and map them to the unified RDF store.<br /> <br /> - ''Extract:'' Reconstruct valid SPDX documents from the database based on specific queries (e.g., &quot;Export the SBOM for Project X version 1.2&quot;).<br /> <br /> - ''Manage:'' Provide basic management functions like listing stored SBOMs, deleting old versions, and validating data integrity.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a number of well-documented tools that can operate on SBOM data. These will allow users to seemlessly move between SPDX documents and RDF databases.<br /> <br /> An indicative list of tools and deliverables is:<br /> <br /> - ''SBOM-to-Store Ingestor:'' A CLI tool to upload SPDX documents (v2 and v3) into any supported triplestore.<br /> <br /> - ''Store-to-SBOM Exporter:'' A tool to query the database and output a standard-compliant SPDX file.<br /> <br /> - ''Database Management Utilities:'' Tools for basic CRUD operations on the stored SBOM data.<br /> <br /> - ''Test Suite:'' A comprehensive set of tests to verify the abstraction works.<br /> <br /> - ''Documentation:'' User guide for the CLI tools and developer documentation for the API.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://github.com/eellak/triplestore<br /> <br /> - https://github.com/spdx/tools-python<br /> <br /> - https://github.com/RDFLib/rdflib<br /> <br /> - https://spdx.github.io/spdx-spec<br /> <br /> ==== Knowledge Areas ====<br /> Python3, RDF, SPARQL, SPDX specifications.<br /> <br /> ''Tip for your application:'' Study SPDX v3 (and v2): SPDX is heavily RDF-centric. Demonstrating knowledge of how 3.0 maps to triples will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == '''Using SWHID to Identify Software Components''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project addresses a critical gap in software supply chain security and reproducibility: the connection between package-level identifiers (like package-name@version) and content-level identifiers (SWHIDs).<br /> <br /> ==== Background information ====<br /> <br /> Software Hash IDentifiers (SWHID) are a standardized way to identify software artifacts, based on content. The definition is officially adopted as ISO/IEC 18670:2025 and is available at https://swhid.org.<br /> <br /> However, most developers interact with software through package managers like Cargo (Rust), PyPI (Python), Maven (Java), or APT (Debian/Ubuntu). There is currently a &quot;semantic gap&quot; between the package version (e.g., requests 2.31.0) and its corresponding SWHID, which depends on its contents.<br /> <br /> ==== Project Description ====<br /> The goal of this project is to develop tooling that automatically computes, verifies, and publishes the SWHIDs for components across major package registries. By creating a verifiable mapping between package releases and SWHIDs, we can enable better SBOM integration, improved vulnerability tracking, and long-term reproducibility of the global software supply chain.<br /> <br /> This project will involve three main phases:<br /> <br /> - ''Computation and Archival:'' Build a pipeline to fetch packages from registries (like Crates.io, PyPI, Maven Central, etc.) and compute their SWHIDs locally to ensure integrity.<br /> <br /> - ''Mapping &amp; Verification:'' Generate a high-quality dataset that maps registry data (URL and version) to SWHID. This will require handling the specific packaging quirks of each ecosystem.<br /> <br /> - ''Publication:'' Publish these identifiers in a way that makes them useful to the community. This could include: contributing to a public lookup service or API; exporting mappings to SPDX format; or proposing metadata additions to the package registries themselves.<br /> <br /> ==== Expected Outcome ====<br /> <br /> - ''CLI Tool:'' A reusable utility that takes a package name/version and returns a verified SWHID.<br /> <br /> - ''Public Dataset:'' A comprehensive mapping of the most popular packages across ecosystems to their SWHIDs.<br /> <br /> - ''Documentation:'' A guide on how package maintainers can include SWHIDs in their own release workflows.<br /> <br /> - ''Upstream Contributions:'' (Stretch goal) Integration with tools like cargo-swhid or pyproject.toml plugins.<br /> <br /> ==== Duration of the Project ====<br /> Short or Regular or Long, depending on breadth and depth.<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://swhid.org<br /> <br /> ==== Knowledge Areas ====<br /> <br /> Python and bash scripting (for the solution), knowledge of other ecosystems (Rust, Java, etc.) is required to understand their packaging.<br /> <br /> ''Tip for your application:'' Study SWHID and the different ecosystems. Demonstrating understanding of ecosystem specific challenges will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2512 2026-02-09T13:57:09Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> <br /> =='''VS Code pluggin for CScout'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The objective of the proposed project is to create a Visual Studio Code plugin for accessing the functionality of the CScout source code analyzer and refactoring browser for collections of C programs.<br /> <br /> CScout can process workspaces of multiple projects (a project is defined as a collection of C source files that are linked together) mapping the complexity introduced by the C preprocessor back into the original C source code files. CScout takes advantage of modern hardware (fast processors and large memory capacities) to analyze C source code beyond the level of detail and accuracy provided by current compilers and linkers. The analysis CScout performs takes into account the identifier scopes introduced by the C preprocessor and the C language proper scopes and namespaces. CScout has already been applied on projects of tens of thousands of lines to millions of lines, like the Linux and FreeBSD kernels and the Apache web server.<br /> <br /> Having VSCode act as a front-end to CScout’s existing batch analysis will work as follows.<br /> * Trigger explicit runs (command palette / tasks), not on-save analysis.<br /> * Present results as:<br /> ** Navigable diagnostics<br /> ** Cross-reference views (definitions, uses, dependencies)<br /> ** Refactoring previews as diffs<br /> ** Project-wide facts (identifier scopes, file coupling, macro effects) that are otherwise buried in textual reports<br /> <br /> This will offer the following advantages<br /> * Lower adoption barrier: developers are far more likely to try CScout if results appear inside their editor instead of via reports or bespoke UIs.<br /> * Natural fit for whole-program analysis: VS Code already supports long-running, cancellable tasks with progress reporting.<br /> * Superior comprehension UX: jump-to-definition, peek views, code lenses, and diff previews make CScout’s semantic information immediately actionable.<br /> * Safer refactoring workflow: preview-first refactorings reduce fear of large, semantics-preserving transformations.<br /> * Separation of concerns: keeps CScout as a standalone engine while the plugin handles visualization and navigation.<br /> * Research leverage: enables realistic user studies (e.g., acceptance of large-scale refactorings, tolerance of latency).<br /> * Longevity and reuse: the same backend can serve CLI, CI, and IDE use; the plugin becomes a thin, replaceable shell.<br /> <br /> Thus the plugin will combine CScout’s strengths (macro-aware parsing, precise identifier resolution, and whole-system reasoning) that are hard to appreciate via static reports and tricky to use through the existing rudimentary web front-end. The VSCode plugin combines two open source software projects to provide immediate developer value.<br /> <br /> ====Expected Results====<br /> <br /> A VS Code plugin that can act as an interface to CScout<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/cscout<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Typescript, C/C++, VS Code API<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> =='''OpenTRIM'''==<br /> <br /> ====Brief Explanation====<br /> <br /> OpenTRIM is an open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises a set of C++ libraries, a command-line program for executing simulations in batch mode, and a Qt-based graphical user interface for configuring, running, and evaluating simulations. Several parts of the codebase require improvements and extensions.<br /> <br /> ====Expected Results====<br /> <br /> Real-time 3D visualization tool for simulated ion tracks<br /> <br /> Python bindings for running simulations and retrieving results directly from Python<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++<br /> <br /> Python (optional)<br /> <br /> OpenGL (optional)<br /> <br /> ====Mentors====<br /> <br /> George Apostolopoulos<br /> <br /> Michail Axiotis<br /> <br /> Eleni Mitsi<br /> <br /> =='''Open-Source AI Framework for Thermal Satellite Payload Data Analysis'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project aims to develop a general-purpose open-source AI framework for extracting high-level semantic information from thermal sensor payloads onboard satellites. The framework will support multiple application scenarios such as nighttime cloud detection and thermal event or anomaly monitoring on land and sea.<br /> <br /> The project focuses on building a reusable pipeline covering dataset creation and augmentation from real and synthetic thermal imagery, model training and benchmarking, and advanced analysis tools such as uncertainty quantification and explainability. The goal is to provide a practical and reproducible platform for thermal remote sensing applications in Earth observation and small satellite programs.<br /> <br /> ====Expected Results====<br /> <br /> Modular AI pipeline for thermal satellite data processing<br /> <br /> Dataset extraction, preprocessing and labeling workflows<br /> <br /> Baseline and benchmarked ML/DL models<br /> <br /> Uncertainty quantification methods<br /> <br /> Explainability tools<br /> <br /> Public open-source releases with documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/Orion-AI-Lab<br /> <br /> https://github.com/Orion-AI-Lab/TIRAuxCloud<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python<br /> <br /> Machine Learning / Deep Learning (PyTorch or similar)<br /> <br /> Image processing fundamentals<br /> <br /> Geospatial / satellite imagery familiarity<br /> <br /> Interest in remote sensing and explainable AI<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Alexis Apostolakis<br /> <br /> Simon Vellas<br /> <br /> =='''Command &amp; Data Handling Software for Open-Source CubeSat FlatSat Testbed'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The CubeSat FlatSat testbed is a ground-based platform for deploying and testing onboard AI algorithms, end-to-end processing pipelines, and avionics software/hardware. It supports onboard processing validation and serves as a development platform for university student projects and future open-source CubeSat missions.<br /> <br /> ====Expected Results====<br /> <br /> C&amp;DH flight software on STM32 with FreeRTOS<br /> <br /> Inter-subsystem communication using CSP over CAN<br /> <br /> NASA cFS-inspired modular architecture<br /> <br /> Zenoh middleware for high-bandwidth payload data<br /> <br /> Unit tests and integration tests<br /> <br /> Architecture documentation and developer guides<br /> <br /> Public open-source release on GitHub<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/omega-space-group<br /> <br /> https://github.com/omega-space-group/orion-cubesat-testbed<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python and C<br /> <br /> Embedded systems development<br /> <br /> FreeRTOS<br /> <br /> CAN bus &amp; networking protocols<br /> <br /> STM32 toolchain familiarity<br /> <br /> Interest in satellite systems and flight software<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Simon Vellas<br /> <br /> <br /> <br /> =='''GlossAPI: Needs-Driven Evolution of the Dataset Production Pipeline for Greek Language Data'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on improving the GlossAPI dataset production pipeline by addressing practical limitations and gaps that emerge as new datasets are processed and published.<br /> <br /> As the scope and volume of Greek-language datasets handled by GlossAPI continue to grow, the pipeline must evolve to remain maintainable, reliable, and adaptable to new use cases. The contributor will work on the reconstruction and evolution of parts of the pipeline, guided by operational needs encountered during dataset ingestion, processing, and publication.<br /> <br /> The work will emphasize improvements to the pipeline’s maintainability and usability, while enabling richer interaction and input scenarios that better reflect how Greek-language data is accessed and processed in practice. This includes exploring enhancements related to workflow execution, interaction mechanisms, data acquisition paths, and challenges specific to Greek-language and OCR-derived content.<br /> ====Expected Results====<br /> <br /> * Improved maintainability of the GlossAPI pipeline codebase<br /> * Targeted improvements addressing real usage issues in dataset ingestion and processing<br /> * Enhanced support for diverse data sources and interaction patterns<br /> * Incremental improvements tailored to the characteristics of Greek-language data<br /> * Documentation and usage notes supporting long-term sustainability and onboarding<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, experience with data processing pipelines <br /> <br /> ====Mentors====<br /> <br /> Dimitris Athanasopoulos, Nikos Tsekos<br /> <br /> =='''GlossAPI: ML-assisted Anonymization Layer and Targeted Pipeline Improvements for Greek Datasets'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on extending GlossAPI with a production-ready anonymization layer for Greek text datasets, addressing a critical need for privacy-preserving dataset publication, while also contributing targeted updates to the existing pipeline based on requirements that emerge during its evolution.<br /> <br /> The core of the project is the design and implementation of an ML-assisted anonymization module that detects and masks sensitive personal information (such as names, emails, phone numbers, and organizations) in Greek text. Due to the linguistic characteristics of Greek and the presence of OCR noise in many datasets, the anonymization layer will explore and evaluate multiple approaches, including rule-based techniques and ML-based methods such as Named Entity Recognition, potentially using transformer-based or other state-of-the-art models depending on empirical results.<br /> <br /> ====Expected Results====<br /> <br /> * Integrated anonymization module for Greek text datasets within GlossAPI<br /> * Detection and masking of common personal identifiers (names, emails, phone numbers, organizations)<br /> * Targeted updates to specific parts of the GlossAPI pipeline, limited to what is necessary to support anonymization<br /> * Documentation and usage examples for maintainers and future contributors<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, Basic NLP/ML concepts, and Regular expressions. <br /> <br /> ====Mentors====<br /> <br /> Myrsini Ioannou, Nikos Tsekos, Dimitris Athanasopoulos<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> <br /> == '''Unified SBOM Management via RDF Database Abstraction''' ==<br /> <br /> ==== Brief Explanation ====<br /> Software Bill of Materials (SBOM) documents, specifically in the ISO standard SPDX format, are becoming the cornerstone of software supply chain security. As the volume of SBOM data grows, simple file-based storage is no longer sufficient for complex analysis and cross-referencing. This project aims to develop a suite of tools to ingest, store, and extract SPDX documents using RDF databases (Triplestores). By utilizing the triplestore Python library, these tools will remain database-agnostic, allowing users to seamlessly switch between backends like Apache Jena, AllegroGraph, Blazegraph, GraphDB, and Oxigraph without changing the codebase.<br /> <br /> ==== Background information ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> For GSoC 2025, a Python library abstracting some commonly used databases was developed.<br /> <br /> SBOM data in SPDX format can be serialized in RDF, and therefore can be stored in such databases.<br /> <br /> ==== Project Description ====<br /> The current SPDX ecosystem relies heavily on flat files (JSON, RDF/XML, or even Tag-Value for SPDXv2). While effective for transport, these files are difficult to query at scale—for example, when looking for a specific vulnerable component across thousands of SBOMs. Since SPDXv3 is natively based on an knowledge graph model, storing it in a RDF Triplestore is the most logical and powerful way to handle this data. However, different RDF databases have varying APIs and connection protocols.<br /> <br /> This project will leverage the triplestore library (which provides a high-level Python abstraction) to build tools that:<br /> <br /> - ''Ingest:'' Parse SPDX documents (multi-format support) and map them to the unified RDF store.<br /> <br /> - ''Extract:'' Reconstruct valid SPDX documents from the database based on specific queries (e.g., &quot;Export the SBOM for Project X version 1.2&quot;).<br /> <br /> - ''Manage:'' Provide basic management functions like listing stored SBOMs, deleting old versions, and validating data integrity.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a number of well-documented tools that can operate on SBOM data. These will allow users to seemlessly move between SPDX documents and RDF databases.<br /> <br /> An indicative list of tools and deliverables is:<br /> <br /> - ''SBOM-to-Store Ingestor:'' A CLI tool to upload SPDX documents (v2 and v3) into any supported triplestore.<br /> <br /> - ''Store-to-SBOM Exporter:'' A tool to query the database and output a standard-compliant SPDX file.<br /> <br /> - ''Database Management Utilities:'' Tools for basic CRUD operations on the stored SBOM data.<br /> <br /> - ''Test Suite:'' A comprehensive set of tests to verify the abstraction works.<br /> <br /> - ''Documentation:'' User guide for the CLI tools and developer documentation for the API.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://github.com/eellak/triplestore<br /> <br /> - https://github.com/spdx/tools-python<br /> <br /> - https://github.com/RDFLib/rdflib<br /> <br /> - https://spdx.github.io/spdx-spec<br /> <br /> ==== Knowledge Areas ====<br /> Python3, RDF, SPARQL, SPDX specifications.<br /> <br /> ''Tip for your application:'' Study SPDX v3 (and v2): SPDX is heavily RDF-centric. Demonstrating knowledge of how 3.0 maps to triples will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == '''Using SWHID to Identify Software Components''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project addresses a critical gap in software supply chain security and reproducibility: the connection between package-level identifiers (like package-name@version) and content-level identifiers (SWHIDs).<br /> <br /> ==== Background information ====<br /> <br /> Software Hash IDentifiers (SWHID) are a standardized way to identify software artifacts, based on content. The definition is officially adopted as ISO/IEC 18670:2025 and is available at https://swhid.org.<br /> <br /> However, most developers interact with software through package managers like Cargo (Rust), PyPI (Python), Maven (Java), or APT (Debian/Ubuntu). There is currently a &quot;semantic gap&quot; between the package version (e.g., requests 2.31.0) and its corresponding SWHID, which depends on its contents.<br /> <br /> ==== Project Description ====<br /> The goal of this project is to develop tooling that automatically computes, verifies, and publishes the SWHIDs for components across major package registries. By creating a verifiable mapping between package releases and SWHIDs, we can enable better SBOM integration, improved vulnerability tracking, and long-term reproducibility of the global software supply chain.<br /> <br /> This project will involve three main phases:<br /> <br /> - ''Computation and Archival:'' Build a pipeline to fetch packages from registries (like Crates.io, PyPI, Maven Central, etc.) and compute their SWHIDs locally to ensure integrity.<br /> <br /> - ''Mapping &amp; Verification:'' Generate a high-quality dataset that maps registry data (URL and version) to SWHID. This will require handling the specific packaging quirks of each ecosystem.<br /> <br /> - ''Publication:'' Publish these identifiers in a way that makes them useful to the community. This could include: contributing to a public lookup service or API; exporting mappings to SPDX format; or proposing metadata additions to the package registries themselves.<br /> <br /> ==== Expected Outcome ====<br /> <br /> - ''CLI Tool:'' A reusable utility that takes a package name/version and returns a verified SWHID.<br /> <br /> - ''Public Dataset:'' A comprehensive mapping of the most popular packages across ecosystems to their SWHIDs.<br /> <br /> - ''Documentation:'' A guide on how package maintainers can include SWHIDs in their own release workflows.<br /> <br /> - ''Upstream Contributions:'' (Stretch goal) Integration with tools like cargo-swhid or pyproject.toml plugins.<br /> <br /> ==== Duration of the Project ====<br /> Short or Regular or Long, depending on breadth and depth.<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://swhid.org<br /> <br /> ==== Knowledge Areas ====<br /> <br /> Python and bash scripting (for the solution), knowledge of other ecosystems (Rust, Java, etc.) is required to understand their packaging.<br /> <br /> ''Tip for your application:'' Study SWHID and the different ecosystems. Demonstrating understanding of ecosystem specific challenges will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2511 2026-02-09T13:42:34Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> <br /> =='''VS Code pluggin for CScout'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The objective of the proposed project is to create a Visual Studio Code plugin for accessing the functionality of the CScout source code analyzer and refactoring browser for collections of C programs.<br /> <br /> CScout can process workspaces of multiple projects (a project is defined as a collection of C source files that are linked together) mapping the complexity introduced by the C preprocessor back into the original C source code files. CScout takes advantage of modern hardware (fast processors and large memory capacities) to analyze C source code beyond the level of detail and accuracy provided by current compilers and linkers. The analysis CScout performs takes into account the identifier scopes introduced by the C preprocessor and the C language proper scopes and namespaces. CScout has already been applied on projects of tens of thousands of lines to millions of lines, like the Linux and FreeBSD kernels and the Apache web server.<br /> <br /> Having VSCode act as a front-end to CScout’s existing batch analysis will work as follows.<br /> * Trigger explicit runs (command palette / tasks), not on-save analysis.<br /> * Present results as:<br /> * navigable diagnostics,<br /> * cross-reference views (definitions, uses, dependencies),<br /> * refactoring previews as diffs.<br /> * Surface project-wide facts (identifier scopes, file coupling, macro effects) that are otherwise buried in textual reports.<br /> <br /> This will offer the following advantages<br /> * Lower adoption barrier: developers are far more likely to try CScout if results appear inside their editor instead of via reports or bespoke UIs.<br /> * Natural fit for whole-program analysis: VS Code already supports long-running, cancellable tasks with progress reporting.<br /> * Superior comprehension UX: jump-to-definition, peek views, code lenses, and diff previews make CScout’s semantic information immediately actionable.<br /> * Safer refactoring workflow: preview-first refactorings reduce fear of large, semantics-preserving transformations.<br /> * Separation of concerns: keeps CScout as a standalone engine while the plugin handles visualization and navigation.<br /> * Research leverage: enables realistic user studies (e.g., acceptance of large-scale refactorings, tolerance of latency).<br /> * Longevity and reuse: the same backend can serve CLI, CI, and IDE use; the plugin becomes a thin, replaceable shell.<br /> <br /> Thus the plugin will combine CScout’s strengths (macro-aware parsing, precise identifier resolution, and whole-system reasoning) that are hard to appreciate via static reports and tricky to use through the existing rudimentary web front-end. The VSCode plugin combines two open source software projects to provide immediate developer value.<br /> <br /> ====Expected Results====<br /> <br /> A VS Code plugin that can act as an interface to CScout<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/dspinellis/cscout<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Typescript, C/C++, VS Code API<br /> ====Mentors====<br /> <br /> Diomidis Spinellis<br /> <br /> =='''OpenTRIM'''==<br /> <br /> ====Brief Explanation====<br /> <br /> OpenTRIM is an open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises a set of C++ libraries, a command-line program for executing simulations in batch mode, and a Qt-based graphical user interface for configuring, running, and evaluating simulations. Several parts of the codebase require improvements and extensions.<br /> <br /> ====Expected Results====<br /> <br /> Real-time 3D visualization tool for simulated ion tracks<br /> <br /> Python bindings for running simulations and retrieving results directly from Python<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++<br /> <br /> Python (optional)<br /> <br /> OpenGL (optional)<br /> <br /> ====Mentors====<br /> <br /> George Apostolopoulos<br /> <br /> Michail Axiotis<br /> <br /> Eleni Mitsi<br /> <br /> =='''Open-Source AI Framework for Thermal Satellite Payload Data Analysis'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project aims to develop a general-purpose open-source AI framework for extracting high-level semantic information from thermal sensor payloads onboard satellites. The framework will support multiple application scenarios such as nighttime cloud detection and thermal event or anomaly monitoring on land and sea.<br /> <br /> The project focuses on building a reusable pipeline covering dataset creation and augmentation from real and synthetic thermal imagery, model training and benchmarking, and advanced analysis tools such as uncertainty quantification and explainability. The goal is to provide a practical and reproducible platform for thermal remote sensing applications in Earth observation and small satellite programs.<br /> <br /> ====Expected Results====<br /> <br /> Modular AI pipeline for thermal satellite data processing<br /> <br /> Dataset extraction, preprocessing and labeling workflows<br /> <br /> Baseline and benchmarked ML/DL models<br /> <br /> Uncertainty quantification methods<br /> <br /> Explainability tools<br /> <br /> Public open-source releases with documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/Orion-AI-Lab<br /> <br /> https://github.com/Orion-AI-Lab/TIRAuxCloud<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python<br /> <br /> Machine Learning / Deep Learning (PyTorch or similar)<br /> <br /> Image processing fundamentals<br /> <br /> Geospatial / satellite imagery familiarity<br /> <br /> Interest in remote sensing and explainable AI<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Alexis Apostolakis<br /> <br /> Simon Vellas<br /> <br /> =='''Command &amp; Data Handling Software for Open-Source CubeSat FlatSat Testbed'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The CubeSat FlatSat testbed is a ground-based platform for deploying and testing onboard AI algorithms, end-to-end processing pipelines, and avionics software/hardware. It supports onboard processing validation and serves as a development platform for university student projects and future open-source CubeSat missions.<br /> <br /> ====Expected Results====<br /> <br /> C&amp;DH flight software on STM32 with FreeRTOS<br /> <br /> Inter-subsystem communication using CSP over CAN<br /> <br /> NASA cFS-inspired modular architecture<br /> <br /> Zenoh middleware for high-bandwidth payload data<br /> <br /> Unit tests and integration tests<br /> <br /> Architecture documentation and developer guides<br /> <br /> Public open-source release on GitHub<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/omega-space-group<br /> <br /> https://github.com/omega-space-group/orion-cubesat-testbed<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python and C<br /> <br /> Embedded systems development<br /> <br /> FreeRTOS<br /> <br /> CAN bus &amp; networking protocols<br /> <br /> STM32 toolchain familiarity<br /> <br /> Interest in satellite systems and flight software<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Simon Vellas<br /> <br /> <br /> <br /> =='''GlossAPI: Needs-Driven Evolution of the Dataset Production Pipeline for Greek Language Data'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on improving the GlossAPI dataset production pipeline by addressing practical limitations and gaps that emerge as new datasets are processed and published.<br /> <br /> As the scope and volume of Greek-language datasets handled by GlossAPI continue to grow, the pipeline must evolve to remain maintainable, reliable, and adaptable to new use cases. The contributor will work on the reconstruction and evolution of parts of the pipeline, guided by operational needs encountered during dataset ingestion, processing, and publication.<br /> <br /> The work will emphasize improvements to the pipeline’s maintainability and usability, while enabling richer interaction and input scenarios that better reflect how Greek-language data is accessed and processed in practice. This includes exploring enhancements related to workflow execution, interaction mechanisms, data acquisition paths, and challenges specific to Greek-language and OCR-derived content.<br /> ====Expected Results====<br /> <br /> * Improved maintainability of the GlossAPI pipeline codebase<br /> * Targeted improvements addressing real usage issues in dataset ingestion and processing<br /> * Enhanced support for diverse data sources and interaction patterns<br /> * Incremental improvements tailored to the characteristics of Greek-language data<br /> * Documentation and usage notes supporting long-term sustainability and onboarding<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, experience with data processing pipelines <br /> <br /> ====Mentors====<br /> <br /> Dimitris Athanasopoulos, Nikos Tsekos<br /> <br /> =='''GlossAPI: ML-assisted Anonymization Layer and Targeted Pipeline Improvements for Greek Datasets'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on extending GlossAPI with a production-ready anonymization layer for Greek text datasets, addressing a critical need for privacy-preserving dataset publication, while also contributing targeted updates to the existing pipeline based on requirements that emerge during its evolution.<br /> <br /> The core of the project is the design and implementation of an ML-assisted anonymization module that detects and masks sensitive personal information (such as names, emails, phone numbers, and organizations) in Greek text. Due to the linguistic characteristics of Greek and the presence of OCR noise in many datasets, the anonymization layer will explore and evaluate multiple approaches, including rule-based techniques and ML-based methods such as Named Entity Recognition, potentially using transformer-based or other state-of-the-art models depending on empirical results.<br /> <br /> ====Expected Results====<br /> <br /> * Integrated anonymization module for Greek text datasets within GlossAPI<br /> * Detection and masking of common personal identifiers (names, emails, phone numbers, organizations)<br /> * Targeted updates to specific parts of the GlossAPI pipeline, limited to what is necessary to support anonymization<br /> * Documentation and usage examples for maintainers and future contributors<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, Basic NLP/ML concepts, and Regular expressions. <br /> <br /> ====Mentors====<br /> <br /> Myrsini Ioannou, Nikos Tsekos, Dimitris Athanasopoulos<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> <br /> == '''Unified SBOM Management via RDF Database Abstraction''' ==<br /> <br /> ==== Brief Explanation ====<br /> Software Bill of Materials (SBOM) documents, specifically in the ISO standard SPDX format, are becoming the cornerstone of software supply chain security. As the volume of SBOM data grows, simple file-based storage is no longer sufficient for complex analysis and cross-referencing. This project aims to develop a suite of tools to ingest, store, and extract SPDX documents using RDF databases (Triplestores). By utilizing the triplestore Python library, these tools will remain database-agnostic, allowing users to seamlessly switch between backends like Apache Jena, AllegroGraph, Blazegraph, GraphDB, and Oxigraph without changing the codebase.<br /> <br /> ==== Background information ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> For GSoC 2025, a Python library abstracting some commonly used databases was developed.<br /> <br /> SBOM data in SPDX format can be serialized in RDF, and therefore can be stored in such databases.<br /> <br /> ==== Project Description ====<br /> The current SPDX ecosystem relies heavily on flat files (JSON, RDF/XML, or even Tag-Value for SPDXv2). While effective for transport, these files are difficult to query at scale—for example, when looking for a specific vulnerable component across thousands of SBOMs. Since SPDXv3 is natively based on an knowledge graph model, storing it in a RDF Triplestore is the most logical and powerful way to handle this data. However, different RDF databases have varying APIs and connection protocols.<br /> <br /> This project will leverage the triplestore library (which provides a high-level Python abstraction) to build tools that:<br /> <br /> - ''Ingest:'' Parse SPDX documents (multi-format support) and map them to the unified RDF store.<br /> <br /> - ''Extract:'' Reconstruct valid SPDX documents from the database based on specific queries (e.g., &quot;Export the SBOM for Project X version 1.2&quot;).<br /> <br /> - ''Manage:'' Provide basic management functions like listing stored SBOMs, deleting old versions, and validating data integrity.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a number of well-documented tools that can operate on SBOM data. These will allow users to seemlessly move between SPDX documents and RDF databases.<br /> <br /> An indicative list of tools and deliverables is:<br /> <br /> - ''SBOM-to-Store Ingestor:'' A CLI tool to upload SPDX documents (v2 and v3) into any supported triplestore.<br /> <br /> - ''Store-to-SBOM Exporter:'' A tool to query the database and output a standard-compliant SPDX file.<br /> <br /> - ''Database Management Utilities:'' Tools for basic CRUD operations on the stored SBOM data.<br /> <br /> - ''Test Suite:'' A comprehensive set of tests to verify the abstraction works.<br /> <br /> - ''Documentation:'' User guide for the CLI tools and developer documentation for the API.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://github.com/eellak/triplestore<br /> <br /> - https://github.com/spdx/tools-python<br /> <br /> - https://github.com/RDFLib/rdflib<br /> <br /> - https://spdx.github.io/spdx-spec<br /> <br /> ==== Knowledge Areas ====<br /> Python3, RDF, SPARQL, SPDX specifications.<br /> <br /> ''Tip for your application:'' Study SPDX v3 (and v2): SPDX is heavily RDF-centric. Demonstrating knowledge of how 3.0 maps to triples will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == '''Using SWHID to Identify Software Components''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project addresses a critical gap in software supply chain security and reproducibility: the connection between package-level identifiers (like package-name@version) and content-level identifiers (SWHIDs).<br /> <br /> ==== Background information ====<br /> <br /> Software Hash IDentifiers (SWHID) are a standardized way to identify software artifacts, based on content. The definition is officially adopted as ISO/IEC 18670:2025 and is available at https://swhid.org.<br /> <br /> However, most developers interact with software through package managers like Cargo (Rust), PyPI (Python), Maven (Java), or APT (Debian/Ubuntu). There is currently a &quot;semantic gap&quot; between the package version (e.g., requests 2.31.0) and its corresponding SWHID, which depends on its contents.<br /> <br /> ==== Project Description ====<br /> The goal of this project is to develop tooling that automatically computes, verifies, and publishes the SWHIDs for components across major package registries. By creating a verifiable mapping between package releases and SWHIDs, we can enable better SBOM integration, improved vulnerability tracking, and long-term reproducibility of the global software supply chain.<br /> <br /> This project will involve three main phases:<br /> <br /> - ''Computation and Archival:'' Build a pipeline to fetch packages from registries (like Crates.io, PyPI, Maven Central, etc.) and compute their SWHIDs locally to ensure integrity.<br /> <br /> - ''Mapping &amp; Verification:'' Generate a high-quality dataset that maps registry data (URL and version) to SWHID. This will require handling the specific packaging quirks of each ecosystem.<br /> <br /> - ''Publication:'' Publish these identifiers in a way that makes them useful to the community. This could include: contributing to a public lookup service or API; exporting mappings to SPDX format; or proposing metadata additions to the package registries themselves.<br /> <br /> ==== Expected Outcome ====<br /> <br /> - ''CLI Tool:'' A reusable utility that takes a package name/version and returns a verified SWHID.<br /> <br /> - ''Public Dataset:'' A comprehensive mapping of the most popular packages across ecosystems to their SWHIDs.<br /> <br /> - ''Documentation:'' A guide on how package maintainers can include SWHIDs in their own release workflows.<br /> <br /> - ''Upstream Contributions:'' (Stretch goal) Integration with tools like cargo-swhid or pyproject.toml plugins.<br /> <br /> ==== Duration of the Project ====<br /> Short or Regular or Long, depending on breadth and depth.<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://swhid.org<br /> <br /> ==== Knowledge Areas ====<br /> <br /> Python and bash scripting (for the solution), knowledge of other ecosystems (Rust, Java, etc.) is required to understand their packaging.<br /> <br /> ''Tip for your application:'' Study SWHID and the different ecosystems. Demonstrating understanding of ecosystem specific challenges will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2510 2026-02-07T13:12:22Z

<p>Pkst: Ανάκληση των αλλαγών Pkst (συζήτηση) επιστροφή στην προηγούμενη αναθεώρηση Zvr</p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> <br /> =='''OpenTRIM'''==<br /> <br /> ====Brief Explanation====<br /> <br /> OpenTRIM is an open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises a set of C++ libraries, a command-line program for executing simulations in batch mode, and a Qt-based graphical user interface for configuring, running, and evaluating simulations. Several parts of the codebase require improvements and extensions.<br /> <br /> ====Expected Results====<br /> <br /> Real-time 3D visualization tool for simulated ion tracks<br /> <br /> Python bindings for running simulations and retrieving results directly from Python<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++<br /> <br /> Python (optional)<br /> <br /> OpenGL (optional)<br /> <br /> ====Mentors====<br /> <br /> George Apostolopoulos<br /> <br /> Michail Axiotis<br /> <br /> Eleni Mitsi<br /> <br /> =='''Open-Source AI Framework for Thermal Satellite Payload Data Analysis'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project aims to develop a general-purpose open-source AI framework for extracting high-level semantic information from thermal sensor payloads onboard satellites. The framework will support multiple application scenarios such as nighttime cloud detection and thermal event or anomaly monitoring on land and sea.<br /> <br /> The project focuses on building a reusable pipeline covering dataset creation and augmentation from real and synthetic thermal imagery, model training and benchmarking, and advanced analysis tools such as uncertainty quantification and explainability. The goal is to provide a practical and reproducible platform for thermal remote sensing applications in Earth observation and small satellite programs.<br /> <br /> ====Expected Results====<br /> <br /> Modular AI pipeline for thermal satellite data processing<br /> <br /> Dataset extraction, preprocessing and labeling workflows<br /> <br /> Baseline and benchmarked ML/DL models<br /> <br /> Uncertainty quantification methods<br /> <br /> Explainability tools<br /> <br /> Public open-source releases with documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/Orion-AI-Lab<br /> <br /> https://github.com/Orion-AI-Lab/TIRAuxCloud<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python<br /> <br /> Machine Learning / Deep Learning (PyTorch or similar)<br /> <br /> Image processing fundamentals<br /> <br /> Geospatial / satellite imagery familiarity<br /> <br /> Interest in remote sensing and explainable AI<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Alexis Apostolakis<br /> <br /> Simon Vellas<br /> <br /> =='''Command &amp; Data Handling Software for Open-Source CubeSat FlatSat Testbed'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The CubeSat FlatSat testbed is a ground-based platform for deploying and testing onboard AI algorithms, end-to-end processing pipelines, and avionics software/hardware. It supports onboard processing validation and serves as a development platform for university student projects and future open-source CubeSat missions.<br /> <br /> ====Expected Results====<br /> <br /> C&amp;DH flight software on STM32 with FreeRTOS<br /> <br /> Inter-subsystem communication using CSP over CAN<br /> <br /> NASA cFS-inspired modular architecture<br /> <br /> Zenoh middleware for high-bandwidth payload data<br /> <br /> Unit tests and integration tests<br /> <br /> Architecture documentation and developer guides<br /> <br /> Public open-source release on GitHub<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/omega-space-group<br /> <br /> https://github.com/omega-space-group/orion-cubesat-testbed<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python and C<br /> <br /> Embedded systems development<br /> <br /> FreeRTOS<br /> <br /> CAN bus &amp; networking protocols<br /> <br /> STM32 toolchain familiarity<br /> <br /> Interest in satellite systems and flight software<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Simon Vellas<br /> <br /> <br /> <br /> =='''GlossAPI: Needs-Driven Evolution of the Dataset Production Pipeline for Greek Language Data'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on improving the GlossAPI dataset production pipeline by addressing practical limitations and gaps that emerge as new datasets are processed and published.<br /> <br /> As the scope and volume of Greek-language datasets handled by GlossAPI continue to grow, the pipeline must evolve to remain maintainable, reliable, and adaptable to new use cases. The contributor will work on the reconstruction and evolution of parts of the pipeline, guided by operational needs encountered during dataset ingestion, processing, and publication.<br /> <br /> The work will emphasize improvements to the pipeline’s maintainability and usability, while enabling richer interaction and input scenarios that better reflect how Greek-language data is accessed and processed in practice. This includes exploring enhancements related to workflow execution, interaction mechanisms, data acquisition paths, and challenges specific to Greek-language and OCR-derived content.<br /> ====Expected Results====<br /> <br /> * Improved maintainability of the GlossAPI pipeline codebase<br /> * Targeted improvements addressing real usage issues in dataset ingestion and processing<br /> * Enhanced support for diverse data sources and interaction patterns<br /> * Incremental improvements tailored to the characteristics of Greek-language data<br /> * Documentation and usage notes supporting long-term sustainability and onboarding<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, experience with data processing pipelines <br /> <br /> ====Mentors====<br /> <br /> Dimitris Athanasopoulos, Nikos Tsekos<br /> <br /> =='''GlossAPI: ML-assisted Anonymization Layer and Targeted Pipeline Improvements for Greek Datasets'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on extending GlossAPI with a production-ready anonymization layer for Greek text datasets, addressing a critical need for privacy-preserving dataset publication, while also contributing targeted updates to the existing pipeline based on requirements that emerge during its evolution.<br /> <br /> The core of the project is the design and implementation of an ML-assisted anonymization module that detects and masks sensitive personal information (such as names, emails, phone numbers, and organizations) in Greek text. Due to the linguistic characteristics of Greek and the presence of OCR noise in many datasets, the anonymization layer will explore and evaluate multiple approaches, including rule-based techniques and ML-based methods such as Named Entity Recognition, potentially using transformer-based or other state-of-the-art models depending on empirical results.<br /> <br /> ====Expected Results====<br /> <br /> * Integrated anonymization module for Greek text datasets within GlossAPI<br /> * Detection and masking of common personal identifiers (names, emails, phone numbers, organizations)<br /> * Targeted updates to specific parts of the GlossAPI pipeline, limited to what is necessary to support anonymization<br /> * Documentation and usage examples for maintainers and future contributors<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, Basic NLP/ML concepts, and Regular expressions. <br /> <br /> ====Mentors====<br /> <br /> Myrsini Ioannou, Nikos Tsekos, Dimitris Athanasopoulos<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> <br /> == '''Unified SBOM Management via RDF Database Abstraction''' ==<br /> <br /> ==== Brief Explanation ====<br /> Software Bill of Materials (SBOM) documents, specifically in the ISO standard SPDX format, are becoming the cornerstone of software supply chain security. As the volume of SBOM data grows, simple file-based storage is no longer sufficient for complex analysis and cross-referencing. This project aims to develop a suite of tools to ingest, store, and extract SPDX documents using RDF databases (Triplestores). By utilizing the triplestore Python library, these tools will remain database-agnostic, allowing users to seamlessly switch between backends like Apache Jena, AllegroGraph, Blazegraph, GraphDB, and Oxigraph without changing the codebase.<br /> <br /> ==== Background information ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> For GSoC 2025, a Python library abstracting some commonly used databases was developed.<br /> <br /> SBOM data in SPDX format can be serialized in RDF, and therefore can be stored in such databases.<br /> <br /> ==== Project Description ====<br /> The current SPDX ecosystem relies heavily on flat files (JSON, RDF/XML, or even Tag-Value for SPDXv2). While effective for transport, these files are difficult to query at scale—for example, when looking for a specific vulnerable component across thousands of SBOMs. Since SPDXv3 is natively based on an knowledge graph model, storing it in a RDF Triplestore is the most logical and powerful way to handle this data. However, different RDF databases have varying APIs and connection protocols.<br /> <br /> This project will leverage the triplestore library (which provides a high-level Python abstraction) to build tools that:<br /> <br /> - ''Ingest:'' Parse SPDX documents (multi-format support) and map them to the unified RDF store.<br /> <br /> - ''Extract:'' Reconstruct valid SPDX documents from the database based on specific queries (e.g., &quot;Export the SBOM for Project X version 1.2&quot;).<br /> <br /> - ''Manage:'' Provide basic management functions like listing stored SBOMs, deleting old versions, and validating data integrity.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a number of well-documented tools that can operate on SBOM data. These will allow users to seemlessly move between SPDX documents and RDF databases.<br /> <br /> An indicative list of tools and deliverables is:<br /> <br /> - ''SBOM-to-Store Ingestor:'' A CLI tool to upload SPDX documents (v2 and v3) into any supported triplestore.<br /> <br /> - ''Store-to-SBOM Exporter:'' A tool to query the database and output a standard-compliant SPDX file.<br /> <br /> - ''Database Management Utilities:'' Tools for basic CRUD operations on the stored SBOM data.<br /> <br /> - ''Test Suite:'' A comprehensive set of tests to verify the abstraction works.<br /> <br /> - ''Documentation:'' User guide for the CLI tools and developer documentation for the API.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://github.com/eellak/triplestore<br /> <br /> - https://github.com/spdx/tools-python<br /> <br /> - https://github.com/RDFLib/rdflib<br /> <br /> - https://spdx.github.io/spdx-spec<br /> <br /> ==== Knowledge Areas ====<br /> Python3, RDF, SPARQL, SPDX specifications.<br /> <br /> ''Tip for your application:'' Study SPDX v3 (and v2): SPDX is heavily RDF-centric. Demonstrating knowledge of how 3.0 maps to triples will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == '''Using SWHID to Identify Software Components''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project addresses a critical gap in software supply chain security and reproducibility: the connection between package-level identifiers (like package-name@version) and content-level identifiers (SWHIDs).<br /> <br /> ==== Background information ====<br /> <br /> Software Hash IDentifiers (SWHID) are a standardized way to identify software artifacts, based on content. The definition is officially adopted as ISO/IEC 18670:2025 and is available at https://swhid.org.<br /> <br /> However, most developers interact with software through package managers like Cargo (Rust), PyPI (Python), Maven (Java), or APT (Debian/Ubuntu). There is currently a &quot;semantic gap&quot; between the package version (e.g., requests 2.31.0) and its corresponding SWHID, which depends on its contents.<br /> <br /> ==== Project Description ====<br /> The goal of this project is to develop tooling that automatically computes, verifies, and publishes the SWHIDs for components across major package registries. By creating a verifiable mapping between package releases and SWHIDs, we can enable better SBOM integration, improved vulnerability tracking, and long-term reproducibility of the global software supply chain.<br /> <br /> This project will involve three main phases:<br /> <br /> - ''Computation and Archival:'' Build a pipeline to fetch packages from registries (like Crates.io, PyPI, Maven Central, etc.) and compute their SWHIDs locally to ensure integrity.<br /> <br /> - ''Mapping &amp; Verification:'' Generate a high-quality dataset that maps registry data (URL and version) to SWHID. This will require handling the specific packaging quirks of each ecosystem.<br /> <br /> - ''Publication:'' Publish these identifiers in a way that makes them useful to the community. This could include: contributing to a public lookup service or API; exporting mappings to SPDX format; or proposing metadata additions to the package registries themselves.<br /> <br /> ==== Expected Outcome ====<br /> <br /> - ''CLI Tool:'' A reusable utility that takes a package name/version and returns a verified SWHID.<br /> <br /> - ''Public Dataset:'' A comprehensive mapping of the most popular packages across ecosystems to their SWHIDs.<br /> <br /> - ''Documentation:'' A guide on how package maintainers can include SWHIDs in their own release workflows.<br /> <br /> - ''Upstream Contributions:'' (Stretch goal) Integration with tools like cargo-swhid or pyproject.toml plugins.<br /> <br /> ==== Duration of the Project ====<br /> Short or Regular or Long, depending on breadth and depth.<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://swhid.org<br /> <br /> ==== Knowledge Areas ====<br /> <br /> Python and bash scripting (for the solution), knowledge of other ecosystems (Rust, Java, etc.) is required to understand their packaging.<br /> <br /> ''Tip for your application:'' Study SWHID and the different ecosystems. Demonstrating understanding of ecosystem specific challenges will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2503 2026-02-03T09:38:34Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> =='''Command &amp; Data Handling Software for Open-Source CubeSat FlatSat Testbed'''==<br /> <br /> ====Brief Explanation====<br /> The CubeSat FlatSat testbed is a ground-based platform for deploying and testing onboard AI algorithms, end-to-end processing pipelines, and avionics software/hardware. It supports onboard processing validation and serves as a development platform for university student projects and future open-source CubeSat missions.<br /> <br /> ====Expected Results====<br /> C&amp;DH flight software on STM32 with FreeRTOS<br /> Inter-subsystem communication using CSP over CAN<br /> NASA cFS-inspired modular architecture<br /> Zenoh middleware for high-bandwidth payload data<br /> Unit tests and integration tests<br /> Architecture documentation and developer guides<br /> Public open-source release on GitHub<br /> <br /> ====Duration of the Project====<br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> https://github.com/omega-space-group<br /> <br /> https://github.com/omega-space-group/orion-cubesat-testbed<br /> <br /> ====Knowledge Prerequisites====<br /> Python and C<br /> Embedded systems development<br /> FreeRTOS<br /> CAN bus &amp; networking protocols<br /> STM32 toolchain familiarity<br /> Interest in satellite systems and flight software<br /> <br /> ====Mentors====<br /> Christos Chronis<br /> Simon Vellas<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism.<br /> <br /> ====Expected Results====<br /> Enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases.<br /> <br /> ====Duration of the Project====<br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> https://github.com/eellak/fossbot-platform<br /> <br /> https://github.com/eellak/fossbot<br /> <br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> JavaScript, Python, robotics simulation environments, basic AI/ML concepts.<br /> <br /> ====Mentors====<br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> =='''GlossAPI: ML-assisted Anonymization Layer and Targeted Pipeline Improvements for Greek Datasets'''==<br /> <br /> ====Brief Explanation====<br /> Production-ready anonymization layer for Greek text datasets with ML-assisted detection and masking of sensitive information.<br /> <br /> ====Expected Results====<br /> Integrated anonymization module, detection and masking of personal identifiers, documentation.<br /> <br /> ====Duration of the Project====<br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> ====[https://github.com/eellak/glossAPI<br /> glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> Python, Git/GitHub, basic NLP/ML, regular expressions.<br /> <br /> ====Mentors====<br /> Myrsini Ioannou, Nikos Tsekos, Dimitris Athanasopoulos<br /> <br /> =='''GlossAPI: Needs-Driven Evolution of the Dataset Production Pipeline for Greek Language Data'''==<br /> <br /> ====Brief Explanation====<br /> Improving the GlossAPI dataset production pipeline by addressing maintainability and operational limitations.<br /> <br /> ====Expected Results====<br /> Improved maintainability, better ingestion workflows, enhanced documentation.<br /> <br /> ====Duration of the Project====<br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> ====[https://github.com/eellak/glossAPI<br /> glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> Python, Git/GitHub, experience with data pipelines.<br /> <br /> ====Mentors====<br /> Dimitris Athanasopoulos, Nikos Tsekos<br /> <br /> =='''Open-Source AI Framework for Thermal Satellite Payload Data Analysis'''==<br /> <br /> ====Brief Explanation====<br /> General-purpose open-source AI framework for extracting high-level semantic information from thermal satellite data.<br /> <br /> ====Expected Results====<br /> Modular AI pipeline, datasets, ML/DL models, uncertainty quantification, explainability tools.<br /> <br /> ====Duration of the Project====<br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> https://github.com/Orion-AI-Lab<br /> <br /> https://github.com/Orion-AI-Lab/TIRAuxCloud<br /> <br /> ====Knowledge Prerequisites====<br /> Python, ML/DL, image processing, geospatial familiarity.<br /> <br /> ====Mentors====<br /> Christos Chronis<br /> Alexis Apostolakis<br /> Simon Vellas<br /> <br /> =='''OpenTRIM'''==<br /> <br /> ====Brief Explanation====<br /> Open-source code for simulating the passage of energetic ions through materials using Monte-Carlo methods.<br /> <br /> ====Expected Results====<br /> Real-time 3D visualization tool<br /> Python bindings<br /> <br /> ====Duration of the Project====<br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ====Knowledge Prerequisites====<br /> C++, Python (optional), OpenGL (optional)<br /> <br /> ====Mentors====<br /> George Apostolopoulos<br /> Michail Axiotis<br /> Eleni Mitsi<br /> <br /> == '''Unified SBOM Management via RDF Database Abstraction''' ==<br /> <br /> ==== Brief Explanation ====<br /> Tools to ingest, store, extract SPDX SBOM documents using RDF triplestores.<br /> <br /> ==== Expected Outcome ====<br /> CLI tools, database utilities, tests, documentation.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related Resources and Repositories ====<br /> https://github.com/eellak/triplestore<br /> <br /> https://github.com/spdx/tools-python<br /> <br /> https://github.com/RDFLib/rdflib<br /> <br /> https://spdx.github.io/spdx-spec<br /> <br /> ==== Knowledge Areas ====<br /> Python3, RDF, SPARQL, SPDX<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> == '''Using SWHID to Identify Software Components''' ==<br /> <br /> ==== Brief Explanation ====<br /> Tooling to compute, verify, and publish SWHIDs for software packages across ecosystems.<br /> <br /> ==== Expected Outcome ====<br /> CLI tool, public dataset, documentation, upstream integrations.<br /> <br /> ==== Duration of the Project ====<br /> Short / Regular / Long<br /> <br /> ==== Related Resources ====<br /> https://swhid.org<br /> <br /> ==== Knowledge Areas ====<br /> Python, bash scripting, packaging ecosystems<br /> <br /> ==== Mentors ====<br /> Alexios Zavras, TBD<br /> <br /> [[Κατηγορία:GSOC]]<br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2500 2026-02-03T07:28:33Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> <br /> =='''OpenTRIM'''==<br /> <br /> ====Brief Explanation====<br /> <br /> OpenTRIM is an open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises a set of C++ libraries, a command-line program for executing simulations in batch mode, and a Qt-based graphical user interface for configuring, running, and evaluating simulations. Several parts of the codebase require improvements and extensions.<br /> <br /> ====Expected Results====<br /> <br /> Real-time 3D visualization tool for simulated ion tracks<br /> <br /> Python bindings for running simulations and retrieving results directly from Python<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++<br /> <br /> Python (optional)<br /> <br /> OpenGL (optional)<br /> <br /> ====Mentors====<br /> <br /> George Apostolopoulos<br /> <br /> Michail Axiotis<br /> <br /> Eleni Mitsi<br /> <br /> =='''Open-Source AI Framework for Thermal Satellite Payload Data Analysis'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project aims to develop a general-purpose open-source AI framework for extracting high-level semantic information from thermal sensor payloads onboard satellites. The framework will support multiple application scenarios such as nighttime cloud detection and thermal event or anomaly monitoring on land and sea.<br /> <br /> The project focuses on building a reusable pipeline covering dataset creation and augmentation from real and synthetic thermal imagery, model training and benchmarking, and advanced analysis tools such as uncertainty quantification and explainability. The goal is to provide a practical and reproducible platform for thermal remote sensing applications in Earth observation and small satellite programs.<br /> <br /> ====Expected Results====<br /> <br /> Modular AI pipeline for thermal satellite data processing<br /> <br /> Dataset extraction, preprocessing and labeling workflows<br /> <br /> Baseline and benchmarked ML/DL models<br /> <br /> Uncertainty quantification methods<br /> <br /> Explainability tools<br /> <br /> Public open-source releases with documentation<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/Orion-AI-Lab<br /> <br /> https://github.com/Orion-AI-Lab/TIRAuxCloud<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python<br /> <br /> Machine Learning / Deep Learning (PyTorch or similar)<br /> <br /> Image processing fundamentals<br /> <br /> Geospatial / satellite imagery familiarity<br /> <br /> Interest in remote sensing and explainable AI<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Alexis Apostolakis<br /> <br /> Simon Vellas<br /> <br /> =='''Command &amp; Data Handling Software for Open-Source CubeSat FlatSat Testbed'''==<br /> <br /> ====Brief Explanation====<br /> <br /> The CubeSat FlatSat testbed is a ground-based platform for deploying and testing onboard AI algorithms, end-to-end processing pipelines, and avionics software/hardware. It supports onboard processing validation and serves as a development platform for university student projects and future open-source CubeSat missions.<br /> <br /> ====Expected Results====<br /> <br /> C&amp;DH flight software on STM32 with FreeRTOS<br /> <br /> Inter-subsystem communication using CSP over CAN<br /> <br /> NASA cFS-inspired modular architecture<br /> <br /> Zenoh middleware for high-bandwidth payload data<br /> <br /> Unit tests and integration tests<br /> <br /> Architecture documentation and developer guides<br /> <br /> Public open-source release on GitHub<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project – 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/omega-space-group<br /> <br /> https://github.com/omega-space-group/orion-cubesat-testbed<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Python and C<br /> <br /> Embedded systems development<br /> <br /> FreeRTOS<br /> <br /> CAN bus &amp; networking protocols<br /> <br /> STM32 toolchain familiarity<br /> <br /> Interest in satellite systems and flight software<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis<br /> <br /> Simon Vellas<br /> <br /> <br /> <br /> =='''GlossAPI: Needs-Driven Evolution of the Dataset Production Pipeline for Greek Language Data'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on improving the GlossAPI dataset production pipeline by addressing practical limitations and gaps that emerge as new datasets are processed and published.<br /> <br /> As the scope and volume of Greek-language datasets handled by GlossAPI continue to grow, the pipeline must evolve to remain maintainable, reliable, and adaptable to new use cases. The contributor will work on the reconstruction and evolution of parts of the pipeline, guided by operational needs encountered during dataset ingestion, processing, and publication.<br /> <br /> The work will emphasize improvements to the pipeline’s maintainability and usability, while enabling richer interaction and input scenarios that better reflect how Greek-language data is accessed and processed in practice. This includes exploring enhancements related to workflow execution, interaction mechanisms, data acquisition paths, and challenges specific to Greek-language and OCR-derived content.<br /> ====Expected Results====<br /> <br /> * Improved maintainability of the GlossAPI pipeline codebase<br /> * Targeted improvements addressing real usage issues in dataset ingestion and processing<br /> * Enhanced support for diverse data sources and interaction patterns<br /> * Incremental improvements tailored to the characteristics of Greek-language data<br /> * Documentation and usage notes supporting long-term sustainability and onboarding<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, experience with data processing pipelines <br /> <br /> ====Mentors====<br /> <br /> Dimitris Athanasopoulos, Nikos Tsekos<br /> <br /> =='''GlossAPI: ML-assisted Anonymization Layer and Targeted Pipeline Improvements for Greek Datasets'''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project focuses on extending GlossAPI with a production-ready anonymization layer for Greek text datasets, addressing a critical need for privacy-preserving dataset publication, while also contributing targeted updates to the existing pipeline based on requirements that emerge during its evolution.<br /> <br /> The core of the project is the design and implementation of an ML-assisted anonymization module that detects and masks sensitive personal information (such as names, emails, phone numbers, and organizations) in Greek text. Due to the linguistic characteristics of Greek and the presence of OCR noise in many datasets, the anonymization layer will explore and evaluate multiple approaches, including rule-based techniques and ML-based methods such as Named Entity Recognition, potentially using transformer-based or other state-of-the-art models depending on empirical results.<br /> <br /> ====Expected Results====<br /> <br /> * Integrated anonymization module for Greek text datasets within GlossAPI<br /> * Detection and masking of common personal identifiers (names, emails, phone numbers, organizations)<br /> * Targeted updates to specific parts of the GlossAPI pipeline, limited to what is necessary to support anonymization<br /> * Documentation and usage examples for maintainers and future contributors<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> ====[https://github.com/eellak/glossAPI glossAPI]====<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of Python, Git/GitHub, Basic NLP/ML concepts, and Regular expressions. <br /> <br /> ====Mentors====<br /> <br /> Myrsini Ioannou, Nikos Tsekos, Dimitris Athanasopoulos<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> <br /> == '''Unified SBOM Management via RDF Database Abstraction''' ==<br /> <br /> ==== Brief Explanation ====<br /> Software Bill of Materials (SBOM) documents, specifically in the ISO standard SPDX format, are becoming the cornerstone of software supply chain security. As the volume of SBOM data grows, simple file-based storage is no longer sufficient for complex analysis and cross-referencing. This project aims to develop a suite of tools to ingest, store, and extract SPDX documents using RDF databases (Triplestores). By utilizing the triplestore Python library, these tools will remain database-agnostic, allowing users to seamlessly switch between backends like Apache Jena, AllegroGraph, Blazegraph, GraphDB, and Oxigraph without changing the codebase.<br /> <br /> ==== Background information ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> For GSoC 2025, a Python library abstracting some commonly used databases was developed.<br /> <br /> SBOM data in SPDX format can be serialized in RDF, and therefore can be stored in such databases.<br /> <br /> ==== Project Description ====<br /> The current SPDX ecosystem relies heavily on flat files (JSON, RDF/XML, or even Tag-Value for SPDXv2). While effective for transport, these files are difficult to query at scale—for example, when looking for a specific vulnerable component across thousands of SBOMs. Since SPDXv3 is natively based on an knowledge graph model, storing it in a RDF Triplestore is the most logical and powerful way to handle this data. However, different RDF databases have varying APIs and connection protocols.<br /> <br /> This project will leverage the triplestore library (which provides a high-level Python abstraction) to build tools that:<br /> <br /> - ''Ingest:'' Parse SPDX documents (multi-format support) and map them to the unified RDF store.<br /> <br /> - ''Extract:'' Reconstruct valid SPDX documents from the database based on specific queries (e.g., &quot;Export the SBOM for Project X version 1.2&quot;).<br /> <br /> - ''Manage:'' Provide basic management functions like listing stored SBOMs, deleting old versions, and validating data integrity.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a number of well-documented tools that can operate on SBOM data. These will allow users to seemlessly move between SPDX documents and RDF databases.<br /> <br /> An indicative list of tools and deliverables is:<br /> <br /> - ''SBOM-to-Store Ingestor:'' A CLI tool to upload SPDX documents (v2 and v3) into any supported triplestore.<br /> <br /> - ''Store-to-SBOM Exporter:'' A tool to query the database and output a standard-compliant SPDX file.<br /> <br /> - ''Database Management Utilities:'' Tools for basic CRUD operations on the stored SBOM data.<br /> <br /> - ''Test Suite:'' A comprehensive set of tests to verify the abstraction works.<br /> <br /> - ''Documentation:'' User guide for the CLI tools and developer documentation for the API.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related Resources and Repositories ====<br /> - https://github.com/eellak/triplestore<br /> <br /> - https://github.com/spdx/tools-python<br /> <br /> - https://github.com/RDFLib/rdflib<br /> <br /> - https://spdx.github.io/spdx-spec<br /> <br /> ==== Knowledge Areas ====<br /> Python3, RDF, SPARQL, SPDX specifications.<br /> <br /> ''Tip for your application:'' Study SPDX v3 (and v2): SPDX is heavily RDF-centric. Demonstrating knowledge of how 3.0 maps to triples will make your proposal stand out.<br /> <br /> ==== Mentors ====<br /> Alexios Zavras<br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2483 2026-01-19T08:14:15Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos<br /> <br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2482 2026-01-19T08:11:51Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> ==''' FOSSBot Platform: Simulation Enhancements and AI Integration '''==<br /> <br /> ====Brief Explanation====<br /> <br /> The FOSSBot Platform aims to enhance robotic simulation environments by integrating AI-driven capabilities and improving simulation realism. The project focuses on extending existing open-source robotic simulation tools with advanced features that support experimentation, education, and research in autonomous systems. Emphasis is placed on modularity, extensibility, and reproducibility within open-source ecosystems.<br /> <br /> ====Expected Results====<br /> <br /> The expected outcomes include enhanced simulation modules, AI-assisted decision-making components, improved documentation, and example use cases. The project will deliver code contributions upstream, along with benchmarks and demonstrations showcasing the improvements in robotic simulation fidelity and usability.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot<br /> https://fossbot.gr<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Applicants should have good knowledge of JavaScript, Python, robotics simulation environments, and basic AI/ML concepts. Familiarity with open-source workflows and collaborative development is required.<br /> <br /> ====Mentors====<br /> <br /> Christos Chronis, Eleftheria Papageorgiou, Irida Ntinou<br /> <br /> ==''' AI assisted KMC '''==<br /> <br /> ====Brief Explanation====<br /> <br /> This project explores the integration of machine learning techniques into Kinetic Monte Carlo (KMC) simulations. The goal is to accelerate simulations and improve predictive accuracy by leveraging AI models trained on simulation data. The project targets scientific computing and materials science applications.<br /> <br /> ====Expected Results====<br /> <br /> Deliverables include AI-augmented KMC algorithms, performance evaluations against traditional methods, and a reproducible pipeline for training and inference. Documentation and example experiments will accompany the final implementation.<br /> <br /> ====Duration of the Project====<br /> <br /> Large Project - 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/nixeimar/Apothesis<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> C++, working knowledge of machine learning techniques, numerical methods, and statistical modeling. Prior experience with scientific simulations is a plus.<br /> <br /> ====Mentors====<br /> <br /> Cheimarios Nikolaos, Vissarion Fysikopoulos</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2026_proposed_ideas&diff=2481 2026-01-19T08:03:07Z

<p>Pkst: Δημιουργήθηκε κενή σελίδα</p> <hr /> <div></div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code&diff=2480 2026-01-19T08:02:34Z

<p>Pkst: </p> <hr /> <div><br /> [[Αρχείο:Gfoss2.png ‎|432x432px]] [[Αρχείο:400px-GSoC2016Logo.jpg]]<br /> == Welcome to the GFOSS Google Summer of Code page ==<br /> <br /> * See [[Google Summer of Code 2026 proposed ideas]]<br /> * See [[Google Summer of Code 2025 proposed ideas]]<br /> * See [[Google Summer of Code 2024 proposed ideas]]<br /> <br /> * See [[Google Summer of Code 2023 proposed ideas]]<br /> * See [[Google Summer of Code 2022 proposed ideas]]<br /> * [[Google Summer of Code 2021 Accepted Projects|See Google Summer of Code 2021 Accepted projects]]<br /> * See [[Google Summer of Code 2021 proposed ideas]]<br /> * See [https://ellak.gr/wiki/index.php?title=Google_Summer_of_Code_2019_Accepted_projects Google Summer of Code 2019 Accepted projects]<br /> <br /> * See [[Google Summer of Code 2019 proposed ideas]]<br /> <br /> * See [[Google Summer of Code 2018 Accepted projects]]<br /> <br /> * See [https://ellak.gr/wiki/index.php?title=GSOC2018_Projects Google Summer of Code 2018 proposed ideas ]<br /> <br /> * See [[Google Summer of Code 2017 Accepted projects]]<br /> <br /> * See [https://ellak.gr/wiki/index.php?title=GSOC2017_Ideas Google Summer of Code 2017 proposed ideas ]<br /> <br /> == Open Technologies Alliance at Google Summer of Code Archive ==<br /> <br /> [https://summerofcode.withgoogle.com/archive/2024/organizations/open-technologies-alliance-gfoss#projects-list GFOSS at GSOC 2024] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2023/organizations/open-technologies-alliance-gfoss#projects-list GFOSS at GSOC 2023] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2022/organizations/open-technologies-alliance-gfoss#projects-list GFOSS at GSOC 2022] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2021/organizations/5185060013080576#projects-list GFOSS at GSOC 2021] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2019/organizations/6491213031538688/ GFOSS at GSOC 2019] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2018/organizations/5472477677355008/ GFOSS at GSOC 2018]<br /> <br /> [https://summerofcode.withgoogle.com/archive/2017/organizations/6266968780832768/ GFOSS at GSOC 2017]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%91%CF%81%CF%87%CE%B9%CE%BA%CE%AE_%CF%83%CE%B5%CE%BB%CE%AF%CE%B4%CE%B1&diff=2467 2025-11-06T11:55:51Z

<p>Pkst: </p> <hr /> <div>= Καλώς ήλθατε στο wiki του Οργανισμού Ανοιχτών Τεχνολογιών ('''ΕΕΛΛΑΚ''') = <br /> <br /> Καλώς ήλθατε στο '''κεντρικό wiki τεκμηρίωσης ''' του Οργανισμού Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ). <br /> Εδώ θα βρείτε οδηγούς, διαδικασίες, τεκμηρίωση και υλικό για: '''Ελεύθερο / Λογισμικό Ανοιχτού Κώδικα (ΕΛ/ΛΑΚ) ''', '''Ανοικτά Δεδομένα ''', '''Ανοικτό Περιεχόμενο '''και '''Ανοικτές Τεχνολογίες '''.<br /> <br /> ➡️ [https://ellak.gr/wiki/ Πρόσβαση στο wiki της ΕΕΛΛΑΚ]<br /> <br /> __TOC__<br /> <br /> ---<br /> <br /> == 🔗 Γρήγορη Πλοήγηση == <br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:90%; background:#fffaf5; border:1px solid #f2c48d;&quot;<br /> |-<br /> ! style=&quot;background:#ffe4b2; text-align:center;&quot; | '''Γρήγορη Πλοήγηση'''<br /> |-<br /> |<br /> * '''Κεντρικά''': [http://eellak.gr eellak.gr] · [http://gfoss.eu gfoss.eu] · [https://advisory.ellak.gr advisory] · [https://wiki.ellak.gr wiki] <br /> * '''Εκπαίδευση''': [https://edu.ellak.gr edu] · [https://elearn.ellak.gr elearn] · [https://robotics.ellak.gr robotics] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] · [https://mathe.ellak.gr mathe] <br /> * '''Περιεχόμενο / Δεδομένα''': [https://mycontent.ellak.gr mycontent] · [https://creativecommons.gr creativecommons] · [https://odi.ellak.gr odi] · [https://opendata.ellak.gr opendata] · [https://openstandards.ellak.gr openstandards] · [http://repository.ellak.gr repository] <br /> * '''Δημόσιος Τομέας &amp; Πόλεις''': [https://opengov.ellak.gr opengov] · [https://smartcities.ellak.gr smartcities] · [https://el.diadikasies.gr diadikasies] · [https://obs.ellak.gr obs] <br /> * '''Υποδομές &amp; Κοινότητα''': [https://github.com/eellak github] · [https://opensource.ellak.gr opensource] · [https://glossapi.gr glossapi] · [https://openhardware.ellak.gr openhardware] · [https://opendesign.ellak.gr opendesign] · [https://openwifi.gr openwifi] · [https://openedtech.ellak.gr openedtech] · [https://planet.ellak.gr planet] · [https://newsletters.ellak.gr newsletters] · [https://lists.ellak.gr lists]<br /> |}<br /> <br /> ---<br /> <br /> == 📝 Οδηγίες για Blogs Δράσεων &amp; Ομάδων Εργασίας == <br /> <br /> [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Δείτε εδώ αναλυτικές οδηγίες] <br /> για τη δημοσίευση άρθρων στις σελίδες δράσεων και στα blogs των ομάδων εργασίας.<br /> <br /> ---<br /> <br /> == 🌐 Ιστοσελίδες Δράσεων του Οργανισμού(EΕΛ/ΛΑΚ) == <br /> <br /> * [https://ellak.gr/ Το κεντρικό site για το ΕΛ/ΛΑΚ] — Αναδημοσιεύονται αυτόματα όλα τα άρθρα από όλους τους δικτυακούς τόπους της ΕΕΛΛΑΚ.<br /> * [https://ellak.gr/ Οργανισμός Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ)] — Ο εταιρικός δικτυακός τόπος.<br /> {| class=&quot;wikitable&quot; style=&quot;width:40%; background:#f5faff; border:1px solid #a3c1ff;&quot;<br /> |-<br /> ! style=&quot;background:#dbe8ff; text-align:center;&quot; | '''Μέσα Κοινωνικής Δικτύωσης ΕΕΛΛΑΚ'''<br /> |-<br /> | <br /> * LinkedIn: [https://www.linkedin.com/in/gfoss/ eellak] <br /> * Facebook: [https://www.facebook.com/eellak eellak] <br /> * Instagram: [https://www.instagram.com/ellak.gr/ eellak] <br /> * BlueSky: [https://bsky.app/profile/eellak.bsky.social eellak] <br /> * Mastodon: [https://mastodon.social/@eellak eellak] <br /> * Twitter/X: [https://twitter.com/eellak @eellak]<br /> |}<br /> <br /> <br /> * [http://gfoss.eu Open Technologies Alliance (GFOSS)] — Αγγλόφωνη παρουσία της ΕΕΛΛΑΚ (Twitter/X: [https://twitter.com/gfoss_en @gfoss_en])<br /> * [https://github.com/eellak github.com/eellak] — Αποθετήριο κώδικα της ΕΕΛΛΑΚ.<br /> * [https://mathe.ellak.gr/ mathe.ellak.gr] — Προώθηση &amp; διάδοση ΕΛ/ΛΑΚ: Ανοιχτό λογισμικό, ανοιχτοί ορίζοντες.<br /> * [https://glossapi.gr/ glossapi.gr] — Open-source toolkit της ΕΕΛΛΑΚ για ανάλυση ελληνικού κειμένου (λογοτεχνία, νομοθεσία, επιστήμη, πολιτισμός).<br /> * [https://opensource.ellak.gr/ opensource.ellak.gr] — Ανοιχτό λογισμικό.<br /> * [https://edu.ellak.gr/ edu.ellak.gr] — Ανοικτές τεχνολογίες στην εκπαίδευση.<br /> * [https://elearn.ellak.gr/ elearn.ellak.gr] — Πλατφόρμα ανοικτού εκπαιδευτικού περιεχομένου.<br /> * [https://openedtech.ellak.gr/ openedtech.ellak.gr] — Πανελλήνιος Διαγωνισμός Ρομποτικής Ανοιχτών Τεχνολογιών.<br /> * [https://scientix.ellak.gr/ scientix.ellak.gr] — Πανελλήνιο Συνέδριο Scientix.<br /> * [https://elearnconf.ellak.gr/ elearnconf.ellak.gr] — Διημερίδα «Η πρόκληση της ανοικτής εκπαίδευσης».<br /> * [https://privacy.ellak.gr/ privacy.ellak.gr] — Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων.<br /> * [https://creativecommons.ellak.gr/ Creative Commons] — Προώθηση των Αδειών Creative Commons.<br /> {| class=&quot;wikitable&quot; style=&quot;width:40%; background:#f5faff; border:1px solid #a3c1ff;&quot;<br /> |-<br /> ! style=&quot;background:#dbe8ff; text-align:center;&quot; | '''Μέσα Κοινωνικής Δικτύωσης — Creative Commons Greece'''<br /> |-<br /> | <br /> * Facebook: [https://www.facebook.com/CreativeCommonsGreece CreativeCommonsGreece] <br /> * Twitter/X: [https://twitter.com/cc_greece @cc_greece]<br /> |}<br /> <br /> <br /> * [https://opengov.ellak.gr/ opengov.ellak.gr] — Προώθηση δράσεων Ανοιχτής Διακυβέρνησης.<br /> * [https://mycontent.ellak.gr/ mycontent.ellak.gr] — Προώθηση ανοικτού περιεχομένου (Wikipedia, OpenStreetMap, OpenGLAM).<br /> * [https://opendata.ellak.gr/ opendata.ellak.gr] — Ανοικτά Δεδομένα.<br /> * [https://openhardware.ellak.gr/ openhardware.ellak.gr] — Προώθηση Ανοικτού Υλισμικού (Hardware).<br /> * [https://openwifi.gr/ openwifi.gr] — Ελεύθερα ασύρματα δίκτυα.<br /> * [https://oer.ellak.gr/ oer.ellak.gr] — Ανοικτό περιεχόμενο στην εκπαίδευση.<br /> * [https://openstandards.ellak.gr/ openstandards.ellak.gr] — Προώθηση Ανοικτών Προτύπων.<br /> * [https://odi.ellak.gr/ odi.ellak.gr] — Open Data Institute – Athens Node.<br /> * [https://obs.ellak.gr/ obs.ellak.gr] — Ανοικτοί Προϋπολογισμοί, Προμήθειες και Συμβάσεις.<br /> * [https://legal.ellak.gr/ legal.ellak.gr] — Νομικά θέματα για ΕΛ/ΛΑΚ και ανοικτές τεχνολογίες.<br /> * [https://smartcities.ellak.gr/ smartcities.ellak.gr] — Έξυπνες πόλεις.<br /> * [https://openbusiness.ellak.gr/ openbusiness.ellak.gr] — Προώθηση της Ανοικτής Επιχειρηματικότητας και Καινοτομίας.<br /> * [https://advisory.ellak.gr/ advisory.ellak.gr] — Δημόσια διαβούλευση για τις δράσεις της ΕΕΛΛΑΚ.<br /> * [https://opendesign.ellak.gr/ opendesign.ellak.gr] — Ανοιχτή σχεδίαση (Open Design).<br /> * [https://ccradio.ellak.gr/ ccradio.ellak.gr] — Μουσικό ραδιόφωνο με άδειες Creative Commons.<br /> * [https://planet.ellak.gr/ planet.ellak.gr] — Συγκεντρωτής δημοσιεύσεων της κοινότητας ΕΛ/ΛΑΚ.<br /> * [http://repository.ellak.gr/ repository.ellak.gr] — Αποθετήριο υλικού έργων, τεκμηρίωσης και δράσεων.<br /> * [https://conferences.ellak.gr/ conferences.ellak.gr] — Οπτικοακουστικό υλικό και παρουσιάσεις από συνέδρια/ημερίδες.<br /> * [https://el.diadikasies.gr/ el.diadikasies.gr] — Wiki υπηρεσιών και διαδικασιών Δημόσιου Τομέα.<br /> ---<br /> <br /> == 👥 Blogs Ομάδων Εργασίας == <br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:90%; background:#f5faff; border:1px solid #a3c1ff;&quot;<br /> |-<br /> ! style=&quot;background:#dbe8ff; text-align:center;&quot; | '''Blogs Ομάδων Εργασίας της ΕΕΛΛΑΚ'''<br /> |-<br /> |<br /> * [https://opengov.ellak.gr opengov.ellak.gr] &amp; [https://opendata.ellak.gr opendata.ellak.gr] — '''Ομάδα Εργασίας για την Ανοικτή Διακυβέρνηση και τα Ανοικτά Δεδομένα'''<br /> * [https://edu.ellak.gr edu.ellak.gr], [https://oer.ellak.gr oer.ellak.gr], [https://elearn.ellak.gr elearn.ellak.gr], [https://openedtech.ellak.gr openedtech.ellak.gr], [https://scientix.ellak.gr scientix.ellak.gr], [https://elearnconf.ellak.gr elearnconf.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτές Τεχνολογίες και Ανοικτό Περιεχόμενο στην Εκπαίδευση'''<br /> * [https://openhardware.ellak.gr openhardware.ellak.gr] &amp; [https://openwifi.ellak.gr openwifi.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτό Σχεδιασμό, Ανοιχτό Υλισμικό και Ασύρματα Δίκτυα'''<br /> * [https://privacy.ellak.gr privacy.ellak.gr] &amp; [https://legal.ellak.gr legal.ellak.gr] — '''Ομάδα Εργασίας για Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων'''<br /> * [https://opensource.ellak.gr opensource.ellak.gr] &amp; [https://openstandards.ellak.gr openstandards.ellak.gr] — '''Ομάδα Εργασίας για Ανοικτό Λογισμικό και Ανοικτά Πρότυπα'''<br /> * [https://openbusiness.ellak.gr openbusiness.ellak.gr] &amp; [https://smartcities.ellak.gr smartcities.ellak.gr] — '''Ομάδα Εργασίας για Καινοτομία, Επιχειρηματικότητα και Έξυπνες Πόλεις'''<br /> |}<br /> <br /> <br /> <br /> ---<br /> <br /> == 📚 Δράσεις &amp; Κατηγορίες στο wiki == <br /> <br /> * [[:Κατηγορία:Ομάδες Εργασίας της ΕΕΛ/ΛΑΚ|Ομάδες Εργασίας του Οργανισμού]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9A%CE%B1%CF%84%CE%AC%CE%BB%CE%BF%CE%B3%CE%BF%CF%82_%CE%9A%CE%BF%CE%B9%CE%BD%CE%BF%CF%84%CE%AE%CF%84%CF%89%CE%BD_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CF%8E%CE%BD_%CE%A4%CE%B5%CF%87%CE%BD%CE%BF%CE%BB%CE%BF%CE%B3%CE%B9%CF%8E%CE%BD Κατάλογος Κοινοτήτων Ανοιχτών Τεχνολογιών]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%95%CF%84%CE%B1%CE%B9%CF%81%CE%B5%CE%AF%CE%B5%CF%82_%CF%80%CE%BF%CF%85_%CF%85%CF%80%CE%BF%CF%83%CF%84%CE%B7%CF%81%CE%AF%CE%B6%CE%BF%CF%85%CE%BD_%CE%BB%CF%8D%CF%83%CE%B5%CE%B9%CF%82_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%9B%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CE%BF%CF%8D Εταιρείες που υποστηρίζουν λύσεις Ανοικτού Λογισμικού]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%A0%CE%AF%CE%BD%CE%B1%CE%BA%CE%B1%CF%82_%CE%B9%CF%83%CE%BF%CE%B4%CF%8D%CE%BD%CE%B1%CE%BC%CF%89%CE%BD_%CE%BB%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1 Πίνακας ισοδύναμων λογισμικών ανοιχτού κώδικα]<br /> * [[:Κατηγορία:Προτάσεις Πολιτικής|Προτάσεις Πολιτικής]]<br /> * [[:Κατηγορία:Μελέτες|Μελέτες]] — Σχέση ΕΛ/ΛΑΚ με ανοικτή διακυβέρνηση, εκπαίδευση, κοινότητες, Δημόσιο τομέα, επιχειρήσεις, άδειες.<br /> * [[Κατάλογος Πηγών Ελληνικού Κειμένου]]<br /> * [[Google Summer of Code]]<br /> * [[:Κατηγορία:ΠΑΝΟΠΤΗΣ|ΠΑΝΟΠΤΗΣ]] — Άσκηση κυβερνοάμυνας.<br /> * [[:Κατηγορία:Κρυπτογράφηση|Κρυπτογράφηση]] — Άρθρα, εγχειρίδια και how-to για κρυπτογράφηση &amp; ασφάλεια.<br /> * [[:Κατηγορία:Ανοικτά δεδομένα|Ανοικτά δεδομένα]]<br /> * [[:Κατηγορία:Ανοικτή Διακυβέρνηση|Ανοικτή Διακυβέρνηση]]<br /> * [[:Κατηγορία:Ανοικτό Περιεχόμενο|Ανοικτό Περιεχόμενο]]<br /> * [[:Κατηγορία:Εκπαίδευση και ΕΛΛΑΚ‏‎|Εκπαίδευση και ΕΛΛΑΚ]]<br /> * [[:Κατηγορία:Νομικά θέματα ΕΕΛ/ΛΑΚ‏‎|Νομικά θέματα]]<br /> * [[:Κατηγορία:ΕΛΛΑΚ‏‎|ΕΛΛΑΚ]] — Οδηγοί, κατάλογοι κοινοτήτων και εταιρειών.<br /> * [[:Κατηγορία:FABLAB‏‎|FABLAB]]<br /> * [[:Κατηγορία:ΕΕΛ/ΛΑΚ‏‎|Οργανισμός Ανοιχτών Τεχνολογιών ΕΕΛΛΑΚ]] — Καταστατικό, παρουσίαση, δράσεις.<br /> * [[:Κατηγορία:Τεχνικές Προδιαγραφές|Τεχνικές Προδιαγραφές]] — Υποδείγματα.<br /> * [[ΕΤΗΣΙΕΣ ΕΡΕΥΝΕΣ: Πείτε μας τη γνώμη σας για το περιεχόμενο του ενημερωτικού δελτίου της ΕΕΛΛΑΚ]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%94%CF%81%CE%AC%CF%83%CE%B5%CE%B9%CF%82_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1_%CE%B3%CE%B9%CE%B1_%CF%84%CE%B7%CE%BD_%CE%B1%CE%BD%CF%84%CE%B9%CE%BC%CE%B5%CF%84%CF%8E%CF%80%CE%B9%CF%83%CE%B7_%CF%84%CF%89%CE%BD_%CF%83%CF%85%CE%BD%CE%B5%CF%80%CE%B5%CE%B9%CF%89%CE%BD_%CF%84%CE%B7%CF%82_%CF%80%CE%B1%CE%BD%CE%B4%CE%B7%CE%BC%CE%AF%CE%B1%CF%82 Δράσεις ανοιχτού κώδικα για την πανδημία]<br /> <br /> ---<br /> <br /> == ⚙️ Πηγές &amp; Εργαλεία == <br /> <br /> === [https://mathe.ellak.gr/?page_id=135 Πίνακας ισοδύναμων λογισμικών] ===<br /> * [http://directory.fsf.org/wiki/Main_Page Free Software Directory] — Κατάλογος χρήσιμου λογισμικού.<br /> * [https://www.openhub.net/ OpenHub] — Discover, track and compare open source projects.<br /> <br /> ---<br /> <br /> == 🤝 Συμμετοχή == <br /> <br /> * Διαβούλευση: [https://advisory.ellak.gr advisory.ellak.gr]<br /> * Συνεισφορά σε έργα: [https://github.com/eellak GitHub/eellak]<br /> * Οδηγός wiki: [[Οδηγός:Πώς_συμμετέχω_στο_wiki|Πώς συμμετέχω στο wiki]]<br /> <br /> ---<br /> <br /> == ✍️ Οδηγίες για Συντάκτες == <br /> <br /> * Άδειες τεκμηρίωσης: CC BY-SA.<br /> * Σαφείς τίτλοι και σύντομες περιλήψεις.<br /> * Προσθέστε σχετικές κατηγορίες σε κάθε άρθρο που προτείνετε για δημοσίευση.<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Οδηγίες: πώς να καταχωρείτε άρθρα στις σελίδες δράσεων και τα blogs ομάδων εργασίας]<br /> <br /> ---<br /> <br /> == 💬 Επικοινωνία &amp; Προτάσεις == <br /> <br /> Για προτάσεις βελτίωσης ή θέματα διαβούλευσης, επικοινωνήστε μέσω της φόρμας: <br /> ➡️ [https://ellak.gr/pite-mas-ti-gnomi-sas/ Πείτε μας τη γνώμη σας]<br /> <br /> ''Τελευταία επιμέλεια σελίδας: 04/11/2025'' <br /> <br /> [[Κατηγορία:ΕΕΛΛΑΚ]] [[Κατηγορία:Αρχική σελίδα]] [[Κατηγορία:Τεκμηρίωση]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%A0%CE%AF%CE%BD%CE%B1%CE%BA%CE%B1%CF%82_%CE%B9%CF%83%CE%BF%CE%B4%CF%8D%CE%BD%CE%B1%CE%BC%CF%89%CE%BD_%CE%BB%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1&diff=2466 2025-11-06T11:44:38Z

<p>Pkst: </p> <hr /> <div>=== &lt;strong&gt;Τα βασικά κριτήρια επιλογής ανοιχτού λογισμικού είναι τα παρακάτω&lt;/strong&gt;: ===<br /> 1. η &lt;strong&gt;καταλληλότητα&lt;/strong&gt; για τις ανάγκες της επιχείρησης/οργανισμού,<br /> <br /> 2. ο &lt;strong&gt;αριθμός των ενεργών μελών&lt;/strong&gt; της κοινότητας (προγραμματιστών/developers) που το αναπτύσσουν,<br /> <br /> 3. η &lt;strong&gt;άδεια χρήσης&lt;/strong&gt; (Διαθέσιμες Άδειες-https://www.opensource.org/licenses),<br /> <br /> 4. &lt;strong&gt;η<br /> &lt;nowiki&gt; &lt;/nowiki&gt;ύπαρξη στελεχών που είναι σε θέση να αναλάβουν την υποστήριξη του <br /> λογισμικού εσωτερικά στην επιχείρηση/οργανισμό ή εναλλακτικά η επιλογή εξωτερικών συνεργατών ή τοπικής εταιρείας πληροφορικής με τεχνογνωσία και εμπειρία στην υποστήριξη του επιλεγμένου λογισμικού, &lt;/strong&gt;<br /> <br /> &lt;strong&gt;5. η διάθεση πόρων σε συνεργασία με την αντίστοιχη κοινότητα<br /> &lt;nowiki&gt; &lt;/nowiki&gt;για να υποστηριχθεί και να επεκταθεί το λογισμικό που επιλέξατε, οι <br /> κοινότητες που αναπτύσσουν και υποστηρίζουν το ανοιχτό λογισμικό είναι <br /> “ανοιχτοί” συνεταιρισμοί που βασίζονται στην ενεργή υποστήριξη όλων των <br /> ωφελουμένων.&lt;/strong&gt; <br /> <br /> == Προτεινόμενο Λογισμικό ==<br /> <br /> &lt;div style=&quot;border:2px solid #666; background-color:#f9f9f9; padding:10px; margin:10px;&quot;&gt;<br /> <br /> {| class=&quot;wikitable sortable&quot; style=&quot;width:100%; border:1px solid #aaa; border-collapse:collapse;&quot;<br /> ! style=&quot;width:30%; text-align:center; background:#ececec;&quot; | Περιγραφή<br /> ! style=&quot;width:20%; text-align:center; background:#ececec;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;width:20%; text-align:center; background:#ececec;&quot; | ΕΛ-ΛΑΚ<br /> ! style=&quot;width:30%; text-align:center; background:#ececec;&quot; | Ιστοσελίδα<br /> |-<br /> | Περιηγητής ιστού<br /> | Edge, Safari<br /> | '''Firefox'''<br /> | [https://www.mozilla.org/en-US/firefox/ Mozilla Firefox]<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | '''LibreOffice'''<br /> | [https://eo.libreoffice.org/ LibreOffice]&lt;br /&gt;[https://elearn.ellak.gr/course/view.php?id=62 '''Χρήση του Libre Office''']<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | '''Mozilla Thunderbird'''<br /> | [https://www.thunderbird.net/en-US/ Thunderbird]<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων, Τηλεφωνία μέσω internet<br /> | Slack, Discord, Facebook Messenger<br /> | '''Signal'''<br /> | [https://www.signal.org/ Signal]<br /> |-<br /> | Ανώνυμη περιήγηση<br /> | Opera<br /> | '''Tor Browser'''<br /> | [https://www.torproject.org/download/ Tor Project]<br /> |-<br /> | Λειτουργικό Σύστημα<br /> | Microsoft Windows, Mac OS<br /> | '''Ubuntu'''<br /> | [https://ubuntu-gr.org/ Ubuntu GR]<br /> |-<br /> | Προγραμματισμός συναντήσεων ομάδων/εργαζομένων<br /> | Doodle, Calendly<br /> | '''Framadate'''<br /> | [https://framadate.org/abc/en/ Framadate]<br /> |}<br /> &lt;/div&gt;<br /> <br /> <br /> = 🖥️ Εργαλεία Γραφείου =<br /> <br /> &lt;div style=&quot;border:2px solid #3b5998; background-color:#eef3fb; padding:10px; margin:10px;&quot;&gt;<br /> <br /> {| class=&quot;wikitable sortable&quot; style=&quot;width:100%; border:1px solid #aaa; border-collapse:collapse;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | Thunderbird<br /> | https://www.thunderbird.net/en-US/<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | Evolution<br /> | https://projects.gnome.org/evolution/<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | K-9 Mail<br /> | https://k9mail.github.io/<br /> |-<br /> | Προστασία από ιούς<br /> | McAfee VirusScan<br /> | ClamWin<br /> | https://www.clamwin.com/<br /> |-<br /> | Προστασία από ιούς<br /> | McAfee VirusScan<br /> | Lynis<br /> | https://cisofy.com/lynis/<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | gedit<br /> | https://projects.gnome.org/gedit<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | NotePad++<br /> | https://notepad-plus-plus.org/<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | kedit<br /> | https://kate-editor.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Code::Blocks (C, C++ and Fortran)<br /> | https://www.codeblocks.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Dev-C++ (C και C++)<br /> | https://www.bloodshed.net/devcpp.html<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Mono (Microsoft .NET Framework, ECMA standards C#)<br /> | https://www.mono-project.com/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Ultimate++ (C++)<br /> | https://www.ultimatepp.org/<br /> |-<br /> | Εφαρμογή διαχείρισης αρχείων<br /> | Total Commander<br /> | GNOME Commander<br /> | https://gcmd.github.io/<br /> |-<br /> | Δημιουργία αντιγράφων ασφαλείας και ανάκτηση δεδομένων<br /> | Norton Ghost<br /> | PartitionImage<br /> | https://www.partimage.org/<br /> |-<br /> | Συμπίεση/αποσυμπίεση αρχείων<br /> | WinZip<br /> | 7-Zip<br /> | https://www.7-zip.org/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Kontact<br /> | https://kontact.org/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Thunderbird<br /> | https://www.thunderbird.net/en-US/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Evolution<br /> | https://projects.gnome.org/evolution/<br /> |-<br /> | Ανάγνωση αρχείων PS<br /> | Adobe PostScript<br /> | Ghostscript<br /> | http://pages.cs.wisc.edu/~ghost/<br /> |-<br /> | Ανάγνωση αρχείων PS<br /> | Adobe PostScript<br /> | KGhostview<br /> | http://pages.cs.wisc.edu/~ghost/<br /> |-<br /> | Αυτόματη μετάφραση σε Python, με χρήση νευρωνικών δικτύων<br /> |<br /> | Argos Translate<br /> | https://www.argosopentech.com/<br /> |-<br /> | Ελεύθερο API μηχανικής μετάφρασης, self-hosted, χωρίς περιορισμούς όγκου<br /> |<br /> | LibreTranslate<br /> | https://libretranslate.com/<br /> |-<br /> | Searx – μηχανή μετα-αναζήτησης που σέβεται την ιδιωτικότητα, βασισμένη στον διαμεσολαβητή Seeks<br /> |<br /> | Searx<br /> | https://github.com/asciimoo/searx/wiki/<br /> |-<br /> | Προγραμματισμός συναντήσεων ομάδων/εργαζομένων<br /> | Doodle, Calendly<br /> | Framadate<br /> | https://framadate.org/abc/en/<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | LibreOffice<br /> | https://eo.libreoffice.org/<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | OpenOffice<br /> | https://www.openoffice.org/el/<br /> |-<br /> | Αναγνώστης αρχείων PDF<br /> | Adobe PDF Reader<br /> | Evince<br /> | https://wiki.gnome.org/Apps/Evince<br /> |-<br /> | Αναγνώστης αρχείων PDF<br /> | Adobe PDF Reader<br /> | KDE (KPDF)<br /> | https://kpdf.kde.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Eclipse<br /> | https://www.eclipse.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | NetBeans<br /> | https://netbeans.apache.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Geany<br /> | https://www.geany.org/<br /> |-<br /> | Ολοκλήρωση – Integration<br /> | Zapier<br /> | Huginn<br /> | https://github.com/huginn/huginn<br /> |-<br /> | Ολοκλήρωση – Integration<br /> | Zapier<br /> | n8n<br /> | https://n8n.io<br /> |}<br /> &lt;/div&gt;<br /> <br /> ----<br /> = 📰 Ιστολόγια και Μέσα Δικτύωσης =<br /> <br /> &lt;div style=&quot;border:2px solid #8b4513; background-color:#fdf4ec; padding:10px; margin:10px;&quot;&gt;<br /> <br /> {| class=&quot;wikitable sortable&quot; style=&quot;width:100%; border:1px solid #aaa; border-collapse:collapse;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Λογισμικό διακομιστή microblogging που ακολουθεί το πρότυπο ActivityPub, υποστηρίζει προειδοποιήσεις περιεχομένου και ιδιωτικά μηνύματα<br /> |<br /> | Mastodon<br /> | https://joinmastodon.org<br /> |-<br /> | Λογισμικό διακομιστή ιστολογίου (blogging) που χρησιμοποιεί το πρότυπο Activity Streams<br /> |<br /> | Pump.io<br /> | http://pump.io<br /> |-<br /> | Αποκεντρωμένη πλατφόρμα microblogging P2P<br /> |<br /> | Twister<br /> | http://twister.net.co/<br /> |-<br /> | Μια μινιμαλιστική πλατφόρμα δημοσίευσης, φτιαγμένη για συγγραφείς<br /> |<br /> | WriteFreely<br /> | https://writefreely.org/<br /> |}<br /> &lt;/div&gt;<br /> <br /> ----<br /> = 💬 Ανταλλαγή Μηνυμάτων, Τηλεφωνία και Βιντεοκλήσεις =<br /> <br /> &lt;div style=&quot;border:2px solid #9932cc; background-color:#f9f3fb; padding:10px; margin:10px;&quot;&gt;<br /> <br /> {| class=&quot;wikitable sortable&quot; style=&quot;width:100%; border:1px solid #aaa; border-collapse:collapse;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Empathy<br /> | https://live.gnome.org/Empathy<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Kopete<br /> | https://apps.kde.org/kopete/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Pidgin<br /> | https://www.pidgin.im/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Telegram<br /> | https://telegram.org/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Signal<br /> | https://www.signal.org/<br /> |-<br /> | Εργαλείο ηλεκτρονικής συνδιάλεξης<br /> | mIRC<br /> | HexChat<br /> | https://hexchat.github.io/downloads.html<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Ekiga<br /> | https://www.ekiga.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Empathy<br /> | https://wiki.gnome.org/Apps/Empathy<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Linphone<br /> | https://www.linphone.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Telegram<br /> | https://telegram.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Signal<br /> | https://www.signal.org/<br /> |-<br /> | Εξυπηρετητής τηλεφωνίας<br /> |<br /> | Bayonne<br /> | https://www.gnu.org/software/bayonne/<br /> |-<br /> | Υπηρεσίες φωνής (VoIP) και τηλεδιάσκεψης<br /> |<br /> | Ekiga<br /> | http://www.ekiga.org/<br /> |-<br /> | Πρόγραμμα ανταλλαγής μηνυμάτων που υποστηρίζει συνομιλίες κειμένου, φωνής και βίντεο και μεταφορές αρχείων μέσω πολλών διαφορετικών πρωτοκόλλων<br /> |<br /> | Empathy<br /> | https://wiki.gnome.org/Apps/Empathy<br /> |-<br /> | Πρόγραμμα τηλεπικοινωνιών GNU<br /> |<br /> | Gnucomm<br /> | https://www.gnu.org/software/gnucomm/<br /> |-<br /> | Κατανεμημένη και κρυπτογραφημένη επικοινωνία ήχου/βίντεο/κειμένου<br /> |<br /> | Jami<br /> | https://www.gnu.org/software/jami/<br /> |-<br /> | Λύση τηλεφωνίας μέσω του Session Initiation Protocol (SIP)<br /> |<br /> | Linphone<br /> | https://www.linphone.org<br /> |-<br /> | Λογισμικό διακομιστή ανταλλαγής μηνυμάτων Synapse: Matrix<br /> |<br /> | Matrix-synapse<br /> | https://matrix.org/<br /> |-<br /> | Ασφαλής αποκεντρωμένη πλατφόρμα ανταλλαγής μηνυμάτων με κρυπτογράφηση e2e<br /> |<br /> | Pica Pica Messenger<br /> | https://picapica.im/?page_id=192&amp;lang=en<br /> |-<br /> | Πρόσθετο Pidgin για κρυφές συνομιλίες<br /> |<br /> | Pidgin-otr<br /> | https://otr.cypherpunks.ca<br /> |-<br /> | Client για το Bitmessage<br /> |<br /> | PyBitmessage<br /> | https://github.com/Bitmessage/PyBitmessage<br /> |-<br /> | Αποκεντρωμένη ανταλλαγή μηνυμάτων μέσω του δικτύου Tor<br /> |<br /> | Ricochet<br /> | https://github.com/ricochet-im/Ricochet<br /> |-<br /> | Εξυπηρετητής τηλεφωνικών κλήσεων γραφείου με βάση το Session Initiation Protocol (SIP)<br /> |<br /> | Sipwitch<br /> | https://www.gnu.org/software/sipwitch/<br /> |-<br /> | Τηλεφωνία μέσω SIP/VoIP<br /> |<br /> | Twinkle<br /> | http://www.xs4all.nl/~mfnboer/twinkle/home.html<br /> |-<br /> | Συλλογή scripts για τον WeeChat IRC client<br /> |<br /> | Weechat-scripts<br /> | https://weechat.org/scripts<br /> |-<br /> | Εργαλείο επικοινωνίας που σέβεται την ιδιωτικότητα<br /> |<br /> | Wire<br /> | https://wire.com/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Rocket.Chat<br /> | https://rocket.chat/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Mattermost<br /> | https://mattermost.com<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Zulip<br /> | https://zulip.com/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Element<br /> | https://element.io/<br /> |}<br /> &lt;/div&gt;<br /> <br /> <br /> = Πολυμέσα: Επεξεργασία, διαχείριση, αναπαραγωγή =<br /> <br /> &lt;div style=&quot;border:2px solid #3b5998; background-color:#eef3fb; padding:10px; margin:10px;&quot;&gt;<br /> <br /> {| class=&quot;wikitable sortable&quot; style=&quot;width:100%; border:1px solid #aaa; border-collapse:collapse;&quot;<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | Rhythmbox<br /> | https://projects.gnome.org/rhythmbox/<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | Amarok<br /> | https://amarok.kde.org/<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | DeaDBeeF<br /> | http://deadbeef.sourceforge.net/<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Gimp<br /> | https://www.gimp.org/<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Pinta<br /> | https://pinta-project.com/download.ashx<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Krita<br /> | https://www.krita.org/download<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Inkscape<br /> | https://inkscape.org/<br /> |-<br /> | Εφαρμογή επεξεργασίας ήχου<br /> | Adobe Audition, Logic<br /> | Audacity<br /> | https://audacity.sourceforge.net<br /> |-<br /> | Εφαρμογή επεξεργασίας ήχου<br /> | Adobe Audition, Logic<br /> | Ardour<br /> | https://ardour.org/<br /> |-<br /> | Περιβάλλον εγγραφής οπτικών μέσων<br /> | Nero Burning Rom<br /> | Brasero<br /> | https://www.gnome.org/projects/brasero/<br /> |-<br /> | Περιβάλλον εγγραφής οπτικών μέσων<br /> | Nero Burning Rom<br /> | K3b<br /> | https://userbase.kde.org/K3b<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | VLC<br /> | https://www.videolan.org/vlc/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | XBMC Media Center<br /> | https://xbmc.org/about/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Miro<br /> | https://www.getmiro.com/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Banshee<br /> | http://www.banshee-project.org/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Audacious<br /> | https://audacious-media-player.org/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Data<br /> | https://www.datacrow.net/<br /> |-<br /> | Αποκωδικοποίηση και αντιγραφή DVD<br /> | DVDShrink<br /> | k9copy<br /> | https://k9copy.sourceforge.net/<br /> |-<br /> | Παρακολούθηση τηλεόρασης μέσω υπολογιστή<br /> | WinTV<br /> | tvtime<br /> | https://tvtime.sourceforge.net/<br /> |-<br /> | Παρακολούθηση τηλεόρασης μέσω υπολογιστή<br /> | WinTV<br /> | MythTV<br /> | https://www.mythtv.org/<br /> |-<br /> | Κωδικοποιητές video<br /> | DivX<br /> | xvid<br /> | https://labs.xvid.com/<br /> |-<br /> | Συμπίεση/αποσυμπίεση αρχείων video<br /> |<br /> | Theora<br /> | https://www.theora.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | GTKPod<br /> | https://github.com/trinitonesounds/gtkpod<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Banshee<br /> | https://banshee-project.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Amarok<br /> | https://amarok.kde.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Rhythmbox<br /> | https://projects.gnome.org/rhythmbox/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Data Crow<br /> | https://www.datacrow.net/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Wwidd<br /> | https://github.com/wwidd/wwidd<br /> |-<br /> | Διαχείριση εικόνων<br /> | ACDSee<br /> | EOG<br /> | https://gitlab.gnome.org/GNOME/eog<br /> |-<br /> | Διαχείριση εικόνων<br /> | ACDSee<br /> | Shotwell<br /> | https://wiki.gnome.org/Apps/Shotwell<br /> |}<br /> &lt;/div&gt;<br /> <br /> <br /> = Διαμοιρασμών αρχείων και πολυμέσων =<br /> <br /> &lt;div style=&quot;border:2px solid #228B22; background-color:#f3f9f3; padding:10px; margin:10px;&quot;&gt;<br /> <br /> {| class=&quot;wikitable sortable&quot; style=&quot;width:100%; border:1px solid #aaa; border-collapse:collapse;&quot;<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | Filezilla<br /> | https://filezilla-project.org/<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | gFTP<br /> | https://github.com/masneyb/gftp<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | WinSCP<br /> | https://winscp.net/eng/index.php<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων torrent<br /> | uTorrent<br /> | Transmission<br /> | https://www.transmissionbt.com/<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων torrent<br /> | uTorrent<br /> | qBittorent<br /> | https://www.qbittorrent.org/<br /> |-<br /> | Peer to peer ανταλλαγή αρχείων<br /> | eMule<br /> | Gnutella<br /> | https://sourceforge.net/projects/gtk-gnutella/<br /> |-<br /> | Λογισμικό διακομιστή για διαμοιρασμό πολυμέσων.<br /> |<br /> | Mediagoblin<br /> | https://mediagoblin.org/<br /> |-<br /> | Το OnionShare είναι ένα δωρεάν εργαλείο που σας επιτρέπει ασφαλή και ανώνυμο διαμοιρασμό αρχείων οποιουδήποτε μεγέθους.<br /> |<br /> | OnionShare<br /> | https://onionshare.org/<br /> |-<br /> | Λογισμικό διακομιστή κοινής χρήσης φωτογραφιών, που υποστηρίζεται από το ActivityPub.<br /> |<br /> | Pixelfed<br /> | https://pixelfed.org/<br /> |-<br /> | Διαμοιρασμός αρχείων μέσω BitTorrent/Internet TV που βασίζεται σε Python.<br /> |<br /> | Tribler<br /> | http://www.tribler.org/<br /> |}<br /> &lt;/div&gt;<br /> <br /> <br /> = Περιήγηση, ιδιωτικότητα, υποδομές δικτύου και αποκεντρωμένα δίκτυα =<br /> <br /> &lt;div style=&quot;border:2px solid #9932cc; background-color:#f9f3fb; padding:10px; margin:10px;&quot;&gt;<br /> <br /> {| class=&quot;wikitable sortable&quot; style=&quot;width:100%; border:1px solid #aaa; border-collapse:collapse;&quot;<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | Chromium<br /> | https://www.chromium.org/Home<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | Mozilla Firefox<br /> | https://www.mozilla.com/el/firefox/<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | SeaMonkey<br /> | https://www.seamonkey-project.org/<br /> |-<br /> | Anonymous Web Browser<br /> | Opera<br /> | Tor Browser<br /> | https://www.torproject.org/download/<br /> |-<br /> | Anonymous Web Browser<br /> | Opera<br /> | Firefox Focus<br /> | https://www.mozilla.org/en-US/firefox/mobile/#focus<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | Shorewall<br /> | https://shorewall.org/<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | UFW<br /> | https://help.ubuntu.com/community/UFW<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | FirewallD<br /> | https://firewalld.org/<br /> |-<br /> | Απομακρυσμένη γραμμή εντολών<br /> | iSSH<br /> | Putty<br /> | https://www.chiark.greenend.org.uk/~sgtatham/putty/<br /> |-<br /> | Στοίβα πρωτοκόλλων RTP της GNU Common C++ και του έργου GNU.<br /> |<br /> | Ccrtp<br /> | https://www.gnu.org/software/ccrtp/<br /> |-<br /> | Ελεύθερη υλοποίηση των socks έκδοση 4, socks έκδοση 5 και msproxy.<br /> |<br /> | Dante<br /> | http://www.inet.no/dante/<br /> |-<br /> | CDN που προστατεύει την ιδιωτικότητα και εξυπηρετεί τοπικά αρχεία για απρόσκοπτη λειτουργία των ιστοτόπων. Λειτουργεί ως συμπλήρωμα στους συνήθεις αποκλειστές περιεχομένου.<br /> |<br /> | Decentraleyes<br /> | https://addons.mozilla.org/en-US/firefox/addon/decentraleyes/<br /> |-<br /> | Πρόσθετο του Firefox που τοποθετεί τη Lite (μη-JS / SSL) έκδοση του DuckDuckGo στη γραμμή αναζήτησης.<br /> |<br /> | DuckDuckGo (Lite SSL)<br /> | https://duckduckgo.com/lite/<br /> |-<br /> | Παράκαμψη του αποκλεισμού διευθύνσεων IP (nodejs proxy).<br /> |<br /> | Flashproxy<br /> | https://crypto.stanford.edu/flashproxy/<br /> |-<br /> | Διαχείριση διακομιστών μεσολάβησης για τον Firefox. Για ένα απλούστερο εργαλείο με λιγότερες επιλογές διαμόρφωσης, χρησιμοποιήστε το FoxyProxy Basic.<br /> |<br /> | FoxyProxy Standard<br /> | http://getfoxyproxy.org/<br /> |-<br /> | Ασφαλές, αποκεντρωμένο, μέσο P2P δικτύωσης.<br /> |<br /> | Gnunet<br /> | https://gnunet.org/<br /> |-<br /> | Βιβλιοθήκη που υλοποιεί το TLS 1.0 και το SSL 3.0.<br /> |<br /> | Gnutls<br /> | https://www.gnu.org/software/gnutls/<br /> |-<br /> | GNU έκδοση του προγράμματος περιήγησης Firefox.<br /> |<br /> | Gnuzilla<br /> | https://www.gnu.org/software/gnuzilla/<br /> |-<br /> | Κρυπτογραφεί την επικοινωνία του περιηγητή με πολλούς μεγάλους ιστότοπους, καθιστώντας την περιήγηση πιο ασφαλή.<br /> |<br /> | HTTPS Everywhere<br /> | https://www.eff.org/https-everywhere<br /> |-<br /> | Μέσο P2P δικτύωσης, με έμφαση στην ανωνυμία.<br /> |<br /> | I2P<br /> | https://geti2p.net/<br /> |-<br /> | Εμποδίζει την τροποποίηση του &amp;lt;canvas&amp;gt; για την αποτροπή του Canvas-Fingerprinting.&amp;lt;/canvas&amp;gt;<br /> |<br /> | IceCat/CanvasBlocker<br /> | https://addons.mozilla.org/en-US/firefox/addon/canvasblocker/<br /> |-<br /> | Το WebRTC εκθέτει τις IP(s) του εσωτερικού σας δικτύου, χωρίς την αλληλεπίδραση του χρήστη.<br /> |<br /> | IceCat/Disable WebRTC<br /> | https://addons.mozilla.org/en-US/firefox/addon/happy-bonobo-disable-webrtc/<br /> |-<br /> | Ενεργοποιεί το JavaScript μόνο για ιστότοπους που εμπιστεύεστε.<br /> |<br /> | IceCat/NoScript<br /> | https://noscript.net/<br /> |-<br /> | Διαμόρφωση των κανόνων φιλτραρίσματος πακέτων IP του Linux.<br /> |<br /> | Iptables<br /> | http://www.iptables.org/<br /> |-<br /> | Παραλλαγή του Firefox που εστιάζει στην ιδιωτικότητα, την ασφάλεια και το ελεύθερο λογισμικό.<br /> |<br /> | Librewolf<br /> | https://librewolf.net/<br /> |-<br /> | Απόκρυψη γεωγραφικής θέσης από ιστότοπους.<br /> |<br /> | Location Guard<br /> | https://github.com/chatziko/location-guard<br /> |-<br /> | Βιβλιοθήκη που υποστηρίζει το πρωτόκολλο έναρξης συνόδου (Session Initiation Protocol).<br /> |<br /> | Osip<br /> | https://www.gnu.org/software/osip/<br /> |-<br /> | Επέκταση περιηγητή που ανιχνεύει και αποτρέπει την παρακολούθηση από τρίτους<br /> |<br /> | Privacy Badger<br /> | https://www.eff.org/privacybadger<br /> |-<br /> | Διακομιστής μεσολάβησης (proxy) με αυξημένες δυνατότητες φιλτραρίσματος<br /> |<br /> | Privoxy<br /> | https://www.privoxy.org/<br /> |-<br /> | Ανώνυμος δρομολογητής δικτύου για βελτίωση του απορρήτου στο Διαδίκτυο.<br /> |<br /> | Tor<br /> | https://torproject.org<br /> |-<br /> | Περιηγητής ιστού που βασίζεται σε Firefox ESR για χρήση του δικτύου TOR.<br /> |<br /> | Tor Browser<br /> | https://www.torproject.org/projects/torbrowser.html<br /> |-<br /> | Υποστήριξη Tor για Icedove/Mozilla Thunderbird.<br /> |<br /> | TorBirdy<br /> | https://trac.torproject.org/projects/tor/wiki/torbirdy<br /> |-<br /> | Επιτρέπει σε εφαρμογές φιλικές προς το socks να χρησιμοποιούνται με το Tor.<br /> |<br /> | Torsocks<br /> | https://gitweb.torproject.org/torsocks.git<br /> |-<br /> | Αποκλειστής για μεγάλο εύρος περιεχομένων.<br /> |<br /> | UBlock Origin<br /> | https://github.com/gorhill/uBlock<br /> |-<br /> | Εύκολος έλεγχος οποιασδήποτε κατηγορία αιτημάτων από το πρόγραμμα περιήγησής σας (όπως scripts, iframes, διαφημίσεις, facebook).<br /> |<br /> | UMatrix<br /> | https://addons.mozilla.org/en-US/firefox/addon/umatrix/<br /> |-<br /> | WebSocket pluggable transport - server.<br /> |<br /> | Websocket<br /> | https://gitweb.torproject.org/pluggable-transports/websocket.git<br /> |-<br /> | Κλιμακούμενη δρομολόγηση ως κρυπτογραφημένο δίκτυο IPv6.<br /> |<br /> | Yggdrasil<br /> | https://yggdrasil-network.github.io/<br /> |}<br /> &lt;/div&gt;<br /> <br /> <br /> = Ανάπτυξη, φιλοξενία, παρακολούθηση εφαρμογών =<br /> <br /> &lt;div style=&quot;border:2px solid #ff8c00; background-color:#fff7f0; padding:10px; margin:10px;&quot;&gt;<br /> <br /> {| class=&quot;wikitable sortable&quot; style=&quot;width:100%; border:1px solid #aaa; border-collapse:collapse;&quot;<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Matomo<br /> | https://matomo.org<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Goaccess<br /> | https://goaccess.io/<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | umami<br /> | https://umami.is<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Plausible-Analytics<br /> | https://plausible.io/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | InfluxDB<br /> | https://www.influxdata.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | TDengine<br /> | https://tdengine.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | TimescaleDB<br /> | https://www.timescale.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | QuestDB<br /> | https://questdb.io/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | Dgraph<br /> | https://dgraph.io/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | ArangoDB<br /> | https://www.arangodb.com/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | Neo4j<br /> | https://neo4j.com/<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | Netdata<br /> | https://github.com/netdata/netdata<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | Grafana<br /> | https://github.com/grafana/grafana<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | ThingsBoard<br /> | https://thingsboard.io/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | Dokku<br /> | http://dokku.viewdocs.io/dokku/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | OpenFaas<br /> | https://www.openfaas.com/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | Caprover<br /> | https://CapRover.com<br /> |}<br /> &lt;/div&gt;<br /> <br /> <br /> = Κρυπτογραφία =<br /> <br /> &lt;div style=&quot;border:2px solid #2f4f4f; background-color:#f4f8f8; padding:10px; margin:10px;&quot;&gt;<br /> <br /> {| class=&quot;wikitable sortable&quot; style=&quot;width:100%; border:1px solid #aaa; border-collapse:collapse;&quot;<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Σύστημα κρυπτογράφησης αρχείων.<br /> |<br /> | Ecryptfs-utils<br /> | https://launchpad.net/ecryptfs<br /> |-<br /> | Υποστήριξη GPG για το Thunderbird/Icedove.<br /> |<br /> | Enigmail<br /> | http://www.enigmail.net/home/index.php<br /> |-<br /> | Εργαλεία κρυπτογραφίας Java.<br /> |<br /> | Gnu-crypto<br /> | https://www.gnu.org/software/gnu-crypto/<br /> |-<br /> | Υλοποίηση του προτύπου OpenPGP για το Διαδίκτυο.<br /> |<br /> | Gnupg<br /> | https://gnupg.org/<br /> |-<br /> | Γραφική διεπαφή χρήστη για το GNU Privacy Guard (GnuPG).<br /> |<br /> | Gpa<br /> | http://www.gnupg.org/gpa.html<br /> |-<br /> | Βιβλιοθήκη κρυπτογραφίας.<br /> |<br /> | Libgcrypt<br /> | https://gnupg.org/software/libgcrypt/<br /> |}<br /> &lt;/div&gt;<br /> <br /> <br /> = Άλλα =<br /> <br /> &lt;div style=&quot;border:2px solid #8b0000; background-color:#fdf4f4; padding:10px; margin:10px;&quot;&gt;<br /> <br /> {| class=&quot;wikitable sortable&quot; style=&quot;width:100%; border:1px solid #aaa; border-collapse:collapse;&quot;<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Μια γλώσσα προγραμματισμού για μαθητές και καθηγητές<br /> |<br /> | EDUBlocks<br /> | https://edublocks.org/<br /> |-<br /> | Εικονικός προσωπικός βοηθός<br /> |<br /> | Leon<br /> | https://getleon.ai/<br /> |-<br /> | Ανοιχτού κώδικα λογισμικό για τη συγκέντρωση πληροφοριών (OSINT)<br /> |<br /> | Maryam<br /> | https://github.com/saeeddhqan/Maryam<br /> |-<br /> | Εικονικός προσωπικός βοηθός.<br /> |<br /> | Mycroft<br /> | https://mycroft.ai/<br /> |-<br /> | Ανοιχτού κώδικα λογισμικό διαχείρισης ανθρώπινου δυναμικού (human resources).<br /> |<br /> | Open HRMS Software<br /> | https://www.openhrms.com/<br /> |}<br /> &lt;/div&gt;<br /> <br /> <br /> === Λογισμικό προχωρημένης χρήσης (advanced) ===<br /> <br /> &lt;div style=&quot;border:2px solid #696969; background-color:#f8f8f8; padding:10px; margin:10px;&quot;&gt;<br /> <br /> {| class=&quot;wikitable sortable&quot; style=&quot;width:100%; border:1px solid #aaa; border-collapse:collapse;&quot;<br /> ! <br /> !Περιγραφή<br /> !Εμπορικό<br /> !Προϊόν ΕΛΛΑΚ<br /> !Ιστοσελίδα<br /> !Πλατφόρμα<br /> |-<br /> |1<br /> |Εξαγωγέας pdf αρχείων<br /> |Adobe Acrobat Professional<br /> |PDFCreator<br /> |https://sourceforge.net/project/showfiles.php?group_id=57796&lt;br&gt;<br /> |Windows<br /> |-<br /> |2<br /> |Απομακρυσμένη διαχείριση επιφάνειας εργασίας<br /> |Microsoft Remote Desktop<br /> |Tight VNC<br /> |https://www.tightvnc.com&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> | rowspan=&quot;3&quot; |3<br /> | rowspan=&quot;3&quot; |Πλατφόρμα δημιουργίας 3D γραφικών<br /> | rowspan=&quot;3&quot; |Autodesk 3ds Max<br /> |Blender<br /> |https://www.blender.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |K-3D<br /> |https://www.k-3d.org/&lt;br&gt;<br /> |Linux, Microsoft Windows, Mac OS X, FreeBSD<br /> |-<br /> |Art of Illusion<br /> |https://www.artofillusion.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;4&quot; |4<br /> | rowspan=&quot;4&quot; |Σχεδίαση Ιστοσελίδων<br /> | rowspan=&quot;4&quot; |Adobe Dreamweaver<br /> |KompoZer<br /> |https://kompozer.net/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Bluefish<br /> |https://bluefish.openoffice.nl/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |Brackets<br /> |https://brackets.io/&lt;br&gt;<br /> |OS Independent<br /> |-<br /> |Atom<br /> |https://atom.io/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |5<br /> | rowspan=&quot;2&quot; |Εξυπηρετητής βάσης δεδομένων<br /> | rowspan=&quot;2&quot; |Microsoft SQL Server<br /> |MySQL Server <br /> |https://www.mysql.com/ &lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |PostgreSQL<br /> |https://www.postgresql.org/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |6<br /> | rowspan=&quot;2&quot; |Εξυπηρετητής Διαδικτύου<br /> | rowspan=&quot;2&quot; |Microsoft IIS<br /> |Apache Web Server<br /> |https://httpd.apache.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Nginx<br /> |https://www.nginx.com/<br /> |Linux, FreeBSD<br /> |-<br /> |7<br /> |Λογισμικό για δημιουργία vector graphics<br /> |Corel Draw X3<br /> |InkScape<br /> |https://www.inkscape.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |8<br /> |Περιβάλλον επιστημονικών κ΄μαθηματικών υπολογισμών<br /> |Mathematica<br /> |Sage<br /> |https://www.sagemath.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;2&quot; |9<br /> | rowspan=&quot;2&quot; |Περιβάλλον μαθηματικών υπολογισμών<br /> | rowspan=&quot;2&quot; |Mathworks Matlab<br /> |GNU Octave<br /> |[https://www.gnu.org/software/octave/https://www.scilab.org/ https://www.gnu.org/software/octave/]&lt;br&gt;<br /> | rowspan=&quot;2&quot; |Windows, Linux, Mac OS X<br /> |-<br /> |SciLab<br /> |[https://www.gnu.org/software/octave/https://www.scilab.org/ https://www.scilab.org/]<br /> |-<br /> |10<br /> |Προσομοιωτής κίνησης δικτύου<br /> |OPNET<br /> |Ns-3<br /> |https://www.nsnam.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |11<br /> |Εφαρμογή σχεδίασης<br /> |Adobe Illustrator<br /> |Skencil<br /> |https://www.skencil.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;6&quot; |12<br /> | rowspan=&quot;6&quot; |Εφαρμογή επεξεργασίας video<br /> | rowspan=&quot;6&quot; |Adobe Premier<br /> |KdenliveVirtualdub<br /> |https://kdenlive.org/&lt;br&gt;<br /> |FreeBSD, Linux, Mac OS X<br /> |-<br /> |Cinerrella<br /> |https://cinelerra.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Kino<br /> |https://kinodv.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Avidemux<br /> |https://www.avidemux.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |VideoLAN Movie Creator<br /> |https://www.videolan.org/vlmc/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Blender<br /> |https://www.blender.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |13<br /> |Δημιουργία γραφικών flash<br /> |Adobe Flash<br /> |F4LSwftools<br /> |https://f4l.sourceforge.net/https://swftools.org/&lt;br&gt;<br /> |Linux, Windows<br /> |-<br /> | rowspan=&quot;2&quot; |14<br /> | rowspan=&quot;2&quot; |Σχεδιαστικό πακέτο<br /> | rowspan=&quot;2&quot; |Microsoft Visio<br /> |Dia<br /> |https://projects.gnome.org/dia/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Libreoffice Draw<br /> |https://www.libreoffice.org/discover/draw/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |15<br /> | rowspan=&quot;2&quot; |Εφαρμογή διαμόρφωσης του σκληρού δίσκου<br /> | rowspan=&quot;2&quot; |Partition Magic<br /> |gparted <br /> |https://gparted.sourceforge.net/ &lt;br&gt;<br /> | rowspan=&quot;2&quot; |Linux<br /> |-<br /> |qtparted<br /> |https://qtparted.sourceforge.net/<br /> |-<br /> |16<br /> |Ανάλυση γεωγραφικών δεδομένων (G.I.S.)<br /> |ESRI ArcGIS<br /> |GRASS GIS QGIS<br /> |https://grass.osgeo.org/ https://www.qgis.org/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> |17<br /> |Διαχείριση εκπαιδευτικού περιεχομένου<br /> |Βlackboard<br /> |Moodle e-Class eFront<br /> |https://moodle.org https://www.openeclass.org/ &lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |18<br /> | rowspan=&quot;2&quot; |Εφαρμογή διαχείρισης έργων<br /> | rowspan=&quot;2&quot; |Microsoft Project<br /> |Open Workbench<br /> |[https://www.openworkbench.org/https://www.projectlibre.org/https://2-plan.com/ https://www.openworkbench.org/]<br /> | rowspan=&quot;2&quot; |Windows, Linux, Mac OS X<br /> |-<br /> |ProjectLibre<br /> |[https://www.openworkbench.org/https://www.projectlibre.org/https://2-plan.com/ https://www.projectlibre.org/]<br /> |-<br /> | rowspan=&quot;4&quot; |19<br /> | rowspan=&quot;4&quot; |Περιβάλλον σχεδίασης CAD<br /> | rowspan=&quot;4&quot; |AutoCAD<br /> |Archimedes<br /> |https://www.codeplex.com/archimedes&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |FreeCAD<br /> |https://freecadweb.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |LibreCAD<br /> |https://librecad.org/cms/home.html&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |<br /> |<br /> |<br /> |-<br /> |20<br /> |Οπτική αναγνώριση κειμένου<br /> |FineReader<br /> |Kooka<br /> |https://kooka.kde.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |21<br /> |Εργαλείο αποσφαλμάτωσης κώδικα<br /> |Rational Purify<br /> |Valgrind<br /> |https://valgrind.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |22<br /> |Ασφαλείς συναλλαγές<br /> |Authorize.net<br /> |OpenSSL<br /> |https://www.openssl.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;2&quot; |23<br /> | rowspan=&quot;2&quot; |Διαχείριση οικιακών οικονομικών<br /> | rowspan=&quot;2&quot; |Microsoft Money<br /> |HomeBank <br /> |https://homebank.free.fr/ &lt;br&gt;<br /> | rowspan=&quot;2&quot; |Windows, Linux<br /> |-<br /> |turboCash<br /> |https://www.turbocashuk.com/<br /> |-<br /> |24<br /> |Εξυπηρετητής εφαρμογών<br /> |Oracle WebLogic Server<br /> |JBoss Tomcat<br /> |https://www.jboss.org/jbossas/ https://tomcat.apache.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |25<br /> |Εξομοιωτής αστρονομία<br /> |Starry Night<br /> |Celestia<br /> |https://shatters.net/celestia/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |26<br /> |Μεταγλωττιστής c/c++<br /> |Visual C compiler<br /> |Gcc<br /> |https://gcc.gnu.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |27<br /> |Συνεργατικά εργαλεία διαχείρισης projects<br /> |SourceForge<br /> |GForge<br /> |https://gforge.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |28<br /> |Ανάλυση κίνησης δικτύου<br /> |Microsoft Network Monitor<br /> |Wireshark<br /> |https://www.wireshark.org/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> | rowspan=&quot;4&quot; |29<br /> | rowspan=&quot;4&quot; |Διαχείριση εκδόσεων λογισμικού<br /> | rowspan=&quot;3&quot; |Perforce<br /> |Subversion<br /> |https://subversion.tigris.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Git<br /> |https://git-scm.com/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |TortoiseSVN<br /> |https://tortoisesvn.tigris.org/&lt;br&gt;<br /> |Windows<br /> |-<br /> | <br /> | <br /> | <br /> | <br /> |-<br /> |30<br /> |Στατιστική Ανάλυση<br /> |SPSS<br /> |GNU PSPP R – Project<br /> |https://www.gnu.org/software/pspp/ https://www.r-project.org&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |31<br /> |Desktop Publishing<br /> |Microsoft Publisher<br /> |Scribus<br /> |https://www.scribus.net/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;3&quot; |32<br /> | rowspan=&quot;3&quot; |Ανάκτηση δεδομένων<br /> | rowspan=&quot;3&quot; | <br /> |Photorec<br /> |https://www.cgsecurity.org/wiki/PhotoRec&lt;br&gt;<br /> | rowspan=&quot;3&quot; |Windows, Linux, Mac OS XLinux<br /> |-<br /> |TestDisc<br /> |[https://www.cgsecurity.org/wiki/TestDiskhttps://foremost.sourceforge.net/ https://www.cgsecurity.org/wiki/TestDisk]<br /> |-<br /> |Foremost<br /> |[https://www.cgsecurity.org/wiki/TestDiskhttps://foremost.sourceforge.net/ https://foremost.sourceforge.net/]<br /> |-<br /> |33<br /> |Mechanical computer-aided design (MCAD)<br /> |Autodesk Inventor, SolidWorks<br /> |FreeCAD<br /> |https://freecadweb.org/&lt;br&gt;<br /> |Microsoft Windows, Linux, OS X[1]<br /> |-<br /> |34<br /> |CRM<br /> | <br /> | Vtiger Suitecrm<br /> |https://sourceforge.net/projects/vtigercrm/ https://suitecrm.com/&lt;br&gt;<br /> | <br /> |-<br /> | rowspan=&quot;2&quot; |35<br /> | rowspan=&quot;2&quot; |ERP<br /> | rowspan=&quot;2&quot; | <br /> |Adempiere<br /> |<br /> |Linux, OS X, Unix, Windows<br /> |-<br /> |Dolibarr<br /> |https://www.dolibarr.gr/&lt;br&gt;<br /> |Windows, Linux, Unix, Mac OS X<br /> |-<br /> |36<br /> |Μίξη Ήχου/ Εργαλεία DJ<br /> |Traktor Scratch, Scratch Live<br /> |Mixx<br /> |https://www.mixxx.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;4&quot; |37<br /> | rowspan=&quot;4&quot; |Μουσική σύνθεση<br /> | rowspan=&quot;4&quot; |DrumCore , FL Studio, Finale, GuitarPro<br /> |Hydrogen<br /> |https://www.hydrogen-music.org/&lt;br&gt;<br /> |Windows, Linux, OS X.<br /> |-<br /> |Linux MultiMedia Studio<br /> |https://lmms.sourceforge.net/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> |MuseScore<br /> |https://musescore.org/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |TuxGuitar<br /> |https://www.tuxguitar.com.ar/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> | rowspan=&quot;3&quot; |38<br /> | rowspan=&quot;3&quot; |Σύλληψη βίντεο οθόνης (screen video capture)<br /> | rowspan=&quot;3&quot; |Camtasia<br /> |CamStudio<br /> |https://camstudio.org/&lt;br&gt;<br /> |Windows<br /> |-<br /> |Krut Computer Recorder<br /> |https://krut.sourceforge.net/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |Webinaria<br /> |https://www.webinaria.com/index.php&lt;br&gt;<br /> |Windows, Linux OS X<br /> |}<br /> &lt;/div&gt;<br /> <br /> <br /> <br /> === Επιπλέον πληροφορίες για το ανοιχτό λογισμικό στην [https://el.wikipedia.org/wiki/%CE%91%CE%BD%CE%BF%CE%B9%CE%BA%CF%84%CF%8C%CF%82_%CE%9A%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1%CF%82 wikipedia], μπορείτε να βελτιώσετε [https://el.wikipedia.org/wiki/%CE%91%CE%BD%CE%BF%CE%B9%CE%BA%CF%84%CF%8C%CF%82_%CE%9A%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1%CF%82 αυτό] το άρθρο στα Ελληνικά αξιοποιώντας το [https://en.wikipedia.org/wiki/Open_source αντίστοιχο] στα Αγγλικά. ===<br /> <br /> == [https://directory.fsf.org/wiki/Main_Page The Free Software Directory, is a catalog of useful software] ==<br /> == [https://www.openhub.net/ Discover, Track and Compare Open Source Projects] ==<br /> <br /> ----<br /> <br /> [[Κατηγορία:ΕΛΛΑΚ]]<br /> [[Κατηγορία:Μελέτες]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%A0%CE%AF%CE%BD%CE%B1%CE%BA%CE%B1%CF%82_%CE%B9%CF%83%CE%BF%CE%B4%CF%8D%CE%BD%CE%B1%CE%BC%CF%89%CE%BD_%CE%BB%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1&diff=2465 2025-11-06T11:30:07Z

<p>Pkst: </p> <hr /> <div>=== &lt;strong&gt;Τα βασικά κριτήρια επιλογής ανοιχτού λογισμικού είναι τα παρακάτω&lt;/strong&gt;: ===<br /> 1. η &lt;strong&gt;καταλληλότητα&lt;/strong&gt; για τις ανάγκες της επιχείρησης/οργανισμού,<br /> <br /> 2. ο &lt;strong&gt;αριθμός των ενεργών μελών&lt;/strong&gt; της κοινότητας (προγραμματιστών/developers) που το αναπτύσσουν,<br /> <br /> 3. η &lt;strong&gt;άδεια χρήσης&lt;/strong&gt; (Διαθέσιμες Άδειες-https://www.opensource.org/licenses),<br /> <br /> 4. &lt;strong&gt;η<br /> &lt;nowiki&gt; &lt;/nowiki&gt;ύπαρξη στελεχών που είναι σε θέση να αναλάβουν την υποστήριξη του <br /> λογισμικού εσωτερικά στην επιχείρηση/οργανισμό ή εναλλακτικά η επιλογή εξωτερικών συνεργατών ή τοπικής εταιρείας πληροφορικής με τεχνογνωσία και εμπειρία στην υποστήριξη του επιλεγμένου λογισμικού, &lt;/strong&gt;<br /> <br /> &lt;strong&gt;5. η διάθεση πόρων σε συνεργασία με την αντίστοιχη κοινότητα<br /> &lt;nowiki&gt; &lt;/nowiki&gt;για να υποστηριχθεί και να επεκταθεί το λογισμικό που επιλέξατε, οι <br /> κοινότητες που αναπτύσσουν και υποστηρίζουν το ανοιχτό λογισμικό είναι <br /> “ανοιχτοί” συνεταιρισμοί που βασίζονται στην ενεργή υποστήριξη όλων των <br /> ωφελουμένων.&lt;/strong&gt; <br /> <br /> <br /> == Προτεινόμενο Λογισμικό ==<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;width:30%; text-align:center; background:#ececec;&quot; | Περιγραφή<br /> ! style=&quot;width:20%; text-align:center; background:#ececec;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;width:20%; text-align:center; background:#ececec;&quot; | ΕΛ-ΛΑΚ<br /> ! style=&quot;width:30%; text-align:center; background:#ececec;&quot; | Ιστοσελίδα<br /> |-<br /> | Περιηγητής ιστού<br /> | Edge, Safari<br /> | '''Firefox'''<br /> | [https://www.mozilla.org/en-US/firefox/ Mozilla Firefox]<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | '''LibreOffice'''<br /> | [https://eo.libreoffice.org/ LibreOffice]&lt;br /&gt;[https://elearn.ellak.gr/course/view.php?id=62 '''Χρήση του Libre Office''']<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | '''Mozilla Thunderbird'''<br /> | [https://www.thunderbird.net/en-US/ Thunderbird]<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων, Τηλεφωνία μέσω internet<br /> | Slack, Discord, Facebook Messenger<br /> | '''Signal'''<br /> | [https://www.signal.org/ Signal]<br /> |-<br /> | Ανώνυμη περιήγηση<br /> | Opera<br /> | '''Tor Browser'''<br /> | [https://www.torproject.org/download/ Tor Project]<br /> |-<br /> | Λειτουργικό Σύστημα<br /> | Microsoft Windows, Mac OS<br /> | '''Ubuntu'''<br /> | [https://ubuntu-gr.org/ Ubuntu GR]<br /> |-<br /> | Προγραμματισμός συναντήσεων ομάδων/εργαζομένων<br /> | Doodle, Calendly<br /> | '''Framadate'''<br /> | [https://framadate.org/abc/en/ Framadate]<br /> |}<br /> <br /> <br /> = 🖥️ Εργαλεία Γραφείου =<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | Thunderbird<br /> | https://www.thunderbird.net/en-US/<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | Evolution<br /> | https://projects.gnome.org/evolution/<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | K-9 Mail<br /> | https://k9mail.github.io/<br /> |-<br /> | Προστασία από ιούς<br /> | McAfee VirusScan<br /> | ClamWin<br /> | https://www.clamwin.com/<br /> |-<br /> | Προστασία από ιούς<br /> | McAfee VirusScan<br /> | Lynis<br /> | https://cisofy.com/lynis/<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | gedit<br /> | https://projects.gnome.org/gedit<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | NotePad++<br /> | https://notepad-plus-plus.org/<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | kedit<br /> | https://kate-editor.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Code::Blocks (C, C++ and Fortran)<br /> | https://www.codeblocks.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Dev-C++ (C και C++)<br /> | https://www.bloodshed.net/devcpp.html<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Mono (Microsoft .NET Framework, ECMA standards C#)<br /> | https://www.mono-project.com/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Ultimate++ (C++)<br /> | https://www.ultimatepp.org/<br /> |-<br /> | Εφαρμογή διαχείρισης αρχείων<br /> | Total Commander<br /> | GNOME Commander<br /> | https://gcmd.github.io/<br /> |-<br /> | Δημιουργία αντιγράφων ασφαλείας και ανάκτηση δεδομένων<br /> | Norton Ghost<br /> | PartitionImage<br /> | https://www.partimage.org/<br /> |-<br /> | Συμπίεση/αποσυμπίεση αρχείων<br /> | WinZip<br /> | 7-Zip<br /> | https://www.7-zip.org/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Kontact<br /> | https://kontact.org/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Thunderbird<br /> | https://www.thunderbird.net/en-US/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Evolution<br /> | https://projects.gnome.org/evolution/<br /> |-<br /> | Ανάγνωση αρχείων PS<br /> | Adobe PostScript<br /> | Ghostscript<br /> | http://pages.cs.wisc.edu/~ghost/<br /> |-<br /> | Ανάγνωση αρχείων PS<br /> | Adobe PostScript<br /> | KGhostview<br /> | http://pages.cs.wisc.edu/~ghost/<br /> |-<br /> | Αυτόματη μετάφραση σε Python, με χρήση νευρωνικών δικτύων<br /> |<br /> | Argos Translate<br /> | https://www.argosopentech.com/<br /> |-<br /> | Ελεύθερο API μηχανικής μετάφρασης, self-hosted, χωρίς περιορισμούς όγκου<br /> |<br /> | LibreTranslate<br /> | https://libretranslate.com/<br /> |-<br /> | Searx – μηχανή μετα-αναζήτησης που σέβεται την ιδιωτικότητα, βασισμένη στον διαμεσολαβητή Seeks<br /> |<br /> | Searx<br /> | https://github.com/asciimoo/searx/wiki/<br /> |-<br /> | Προγραμματισμός συναντήσεων ομάδων/εργαζομένων<br /> | Doodle, Calendly<br /> | Framadate<br /> | https://framadate.org/abc/en/<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | LibreOffice<br /> | https://eo.libreoffice.org/<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | OpenOffice<br /> | https://www.openoffice.org/el/<br /> |-<br /> | Αναγνώστης αρχείων PDF<br /> | Adobe PDF Reader<br /> | Evince<br /> | https://wiki.gnome.org/Apps/Evince<br /> |-<br /> | Αναγνώστης αρχείων PDF<br /> | Adobe PDF Reader<br /> | KDE (KPDF)<br /> | https://kpdf.kde.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Eclipse<br /> | https://www.eclipse.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | NetBeans<br /> | https://netbeans.apache.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Geany<br /> | https://www.geany.org/<br /> |-<br /> | Ολοκλήρωση – Integration<br /> | Zapier<br /> | Huginn<br /> | https://github.com/huginn/huginn<br /> |-<br /> | Ολοκλήρωση – Integration<br /> | Zapier<br /> | n8n<br /> | https://n8n.io<br /> |}<br /> <br /> ----<br /> = 📰 Ιστολόγια και Μέσα Δικτύωσης =<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Λογισμικό διακομιστή microblogging που ακολουθεί το πρότυπο ActivityPub, υποστηρίζει προειδοποιήσεις περιεχομένου και ιδιωτικά μηνύματα<br /> |<br /> | Mastodon<br /> | https://joinmastodon.org<br /> |-<br /> | Λογισμικό διακομιστή ιστολογίου (blogging) που χρησιμοποιεί το πρότυπο Activity Streams<br /> |<br /> | Pump.io<br /> | http://pump.io<br /> |-<br /> | Αποκεντρωμένη πλατφόρμα microblogging P2P<br /> |<br /> | Twister<br /> | http://twister.net.co/<br /> |-<br /> | Μια μινιμαλιστική πλατφόρμα δημοσίευσης, φτιαγμένη για συγγραφείς<br /> |<br /> | WriteFreely<br /> | https://writefreely.org/<br /> |}<br /> <br /> ----<br /> <br /> = 💬 Ανταλλαγή Μηνυμάτων, Τηλεφωνία και Βιντεοκλήσεις =<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Empathy<br /> | https://live.gnome.org/Empathy<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Kopete<br /> | https://apps.kde.org/kopete/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Pidgin<br /> | https://www.pidgin.im/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Telegram<br /> | https://telegram.org/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Signal<br /> | https://www.signal.org/<br /> |-<br /> | Εργαλείο ηλεκτρονικής συνδιάλεξης<br /> | mIRC<br /> | HexChat<br /> | https://hexchat.github.io/downloads.html<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Ekiga<br /> | https://www.ekiga.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Empathy<br /> | https://wiki.gnome.org/Apps/Empathy<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Linphone<br /> | https://www.linphone.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Telegram<br /> | https://telegram.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Signal<br /> | https://www.signal.org/<br /> |-<br /> | Εξυπηρετητής τηλεφωνίας<br /> |<br /> | Bayonne<br /> | https://www.gnu.org/software/bayonne/<br /> |-<br /> | Υπηρεσίες φωνής (VoIP) και τηλεδιάσκεψης<br /> |<br /> | Ekiga<br /> | http://www.ekiga.org/<br /> |-<br /> | Πρόγραμμα ανταλλαγής μηνυμάτων που υποστηρίζει συνομιλίες κειμένου, φωνής και βίντεο και μεταφορές αρχείων μέσω πολλών διαφορετικών πρωτοκόλλων<br /> |<br /> | Empathy<br /> | https://wiki.gnome.org/Apps/Empathy<br /> |-<br /> | Πρόγραμμα τηλεπικοινωνιών GNU<br /> |<br /> | Gnucomm<br /> | https://www.gnu.org/software/gnucomm/<br /> |-<br /> | Κατανεμημένη και κρυπτογραφημένη επικοινωνία ήχου/βίντεο/κειμένου<br /> |<br /> | Jami<br /> | https://www.gnu.org/software/jami/<br /> |-<br /> | Λύση τηλεφωνίας μέσω του Session Initiation Protocol (SIP)<br /> |<br /> | Linphone<br /> | https://www.linphone.org<br /> |-<br /> | Λογισμικό διακομιστή ανταλλαγής μηνυμάτων Synapse: Matrix<br /> |<br /> | Matrix-synapse<br /> | https://matrix.org/<br /> |-<br /> | Ασφαλής αποκεντρωμένη πλατφόρμα ανταλλαγής μηνυμάτων με κρυπτογράφηση e2e<br /> |<br /> | Pica Pica Messenger<br /> | https://picapica.im/?page_id=192&amp;lang=en<br /> |-<br /> | Πρόσθετο Pidgin για κρυφές συνομιλίες<br /> |<br /> | Pidgin-otr<br /> | https://otr.cypherpunks.ca<br /> |-<br /> | Client για το Bitmessage<br /> |<br /> | PyBitmessage<br /> | https://github.com/Bitmessage/PyBitmessage<br /> |-<br /> | Αποκεντρωμένη ανταλλαγή μηνυμάτων μέσω του δικτύου Tor<br /> |<br /> | Ricochet<br /> | https://github.com/ricochet-im/Ricochet<br /> |-<br /> | Εξυπηρετητής τηλεφωνικών κλήσεων γραφείου με βάση το Session Initiation Protocol (SIP)<br /> |<br /> | Sipwitch<br /> | https://www.gnu.org/software/sipwitch/<br /> |-<br /> | Τηλεφωνία μέσω SIP/VoIP<br /> |<br /> | Twinkle<br /> | http://www.xs4all.nl/~mfnboer/twinkle/home.html<br /> |-<br /> | Συλλογή scripts για τον WeeChat IRC client<br /> |<br /> | Weechat-scripts<br /> | https://weechat.org/scripts<br /> |-<br /> | Εργαλείο επικοινωνίας που σέβεται την ιδιωτικότητα<br /> |<br /> | Wire<br /> | https://wire.com/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Rocket.Chat<br /> | https://rocket.chat/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Mattermost<br /> | https://mattermost.com<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Zulip<br /> | https://zulip.com/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Element<br /> | https://element.io/<br /> |}<br /> &lt;/div&gt;<br /> &lt;div id=&quot;πολυμέσα-επεξεργασία-διαχείριση-αναπαραγωγή&quot; class=&quot;section level1&quot;&gt;<br /> <br /> &lt;div style=&quot;border:2px solid #3b5998; background-color:#eef3fb; padding:10px; margin:10px;&quot;&gt;<br /> <br /> = Πολυμέσα: Επεξεργασία, διαχείριση, αναπαραγωγή =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | Rhythmbox<br /> | https://projects.gnome.org/rhythmbox/<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | Amarok<br /> | https://amarok.kde.org/<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | DeaDBeeF<br /> | http://deadbeef.sourceforge.net/<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Gimp<br /> | https://www.gimp.org/<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Pinta<br /> | https://pinta-project.com/download.ashx<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Krita<br /> | https://www.krita.org/download<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Inkscape<br /> | https://inkscape.org/<br /> |-<br /> | Εφαρμογή επεξεργασίας ήχου<br /> | Adobe Audition, Logic<br /> | Audacity<br /> | https://audacity.sourceforge.net<br /> |-<br /> | Εφαρμογή επεξεργασίας ήχου<br /> | Adobe Audition, Logic<br /> | Ardour<br /> | https://ardour.org/<br /> |-<br /> | Περιβάλλον εγγραφής οπτικών μέσων<br /> | Nero Burning Rom<br /> | Brasero<br /> | https://www.gnome.org/projects/brasero/<br /> |-<br /> | Περιβάλλον εγγραφής οπτικών μέσων<br /> | Nero Burning Rom<br /> | K3b<br /> | https://userbase.kde.org/K3b<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | VLC<br /> | https://www.videolan.org/vlc/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | XBMC Media Center<br /> | https://xbmc.org/about/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Miro<br /> | https://www.getmiro.com/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Banshee<br /> | http://www.banshee-project.org/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Audacious<br /> | https://audacious-media-player.org/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Data<br /> | https://www.datacrow.net/<br /> |-<br /> | Αποκωδικοποίηση και αντιγραφή DVD<br /> | DVDShrink<br /> | k9copy<br /> | https://k9copy.sourceforge.net/<br /> |-<br /> | Παρακολούθηση τηλεόρασης μέσω υπολογιστή<br /> | WinTV<br /> | tvtime<br /> | https://tvtime.sourceforge.net/<br /> |-<br /> | Παρακολούθηση τηλεόρασης μέσω υπολογιστή<br /> | WinTV<br /> | MythTV<br /> | https://www.mythtv.org/<br /> |-<br /> | Κωδικοποιητές video<br /> | DivX<br /> | xvid<br /> | https://labs.xvid.com/<br /> |-<br /> | Συμπίεση/αποσυμπίεση αρχείων video<br /> |<br /> | Theora<br /> | https://www.theora.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | GTKPod<br /> | https://github.com/trinitonesounds/gtkpod<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Banshee<br /> | https://banshee-project.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Amarok<br /> | https://amarok.kde.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Rhythmbox<br /> | https://projects.gnome.org/rhythmbox/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Data Crow<br /> | https://www.datacrow.net/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Wwidd<br /> | https://github.com/wwidd/wwidd<br /> |-<br /> | Διαχείριση εικόνων<br /> | ACDSee<br /> | EOG<br /> | https://gitlab.gnome.org/GNOME/eog<br /> |-<br /> | Διαχείριση εικόνων<br /> | ACDSee<br /> | Shotwell<br /> | https://wiki.gnome.org/Apps/Shotwell<br /> |}<br /> &lt;/div&gt;<br /> <br /> &lt;div style=&quot;border:2px solid #228B22; background-color:#f3f9f3; padding:10px; margin:10px;&quot;&gt;<br /> <br /> = Διαμοιρασμών αρχείων και πολυμέσων =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | Filezilla<br /> | https://filezilla-project.org/<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | gFTP<br /> | https://github.com/masneyb/gftp<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | WinSCP<br /> | https://winscp.net/eng/index.php<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων torrent<br /> | uTorrent<br /> | Transmission<br /> | https://www.transmissionbt.com/<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων torrent<br /> | uTorrent<br /> | qBittorent<br /> | https://www.qbittorrent.org/<br /> |-<br /> | Peer to peer ανταλλαγή αρχείων<br /> | eMule<br /> | Gnutella<br /> | https://sourceforge.net/projects/gtk-gnutella/<br /> |-<br /> | Λογισμικό διακομιστή για διαμοιρασμό πολυμέσων.<br /> |<br /> | Mediagoblin<br /> | https://mediagoblin.org/<br /> |-<br /> | Το OnionShare είναι ένα δωρεάν εργαλείο που σας επιτρέπει ασφαλή και ανώνυμο διαμοιρασμό αρχείων οποιουδήποτε μεγέθους.<br /> |<br /> | OnionShare<br /> | https://onionshare.org/<br /> |-<br /> | Λογισμικό διακομιστή κοινής χρήσης φωτογραφιών, που υποστηρίζεται από το ActivityPub.<br /> |<br /> | Pixelfed<br /> | https://pixelfed.org/<br /> |-<br /> | Διαμοιρασμός αρχείων μέσω BitTorrent/Internet TV που βασίζεται σε Python.<br /> |<br /> | Tribler<br /> | http://www.tribler.org/<br /> |}<br /> &lt;/div&gt;<br /> <br /> &lt;div style=&quot;border:2px solid #9932cc; background-color:#f9f3fb; padding:10px; margin:10px;&quot;&gt;<br /> <br /> = Περιήγηση, ιδιωτικότητα, υποδομές δικτύου και αποκεντρωμένα δίκτυα =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | Chromium<br /> | https://www.chromium.org/Home<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | Mozilla Firefox<br /> | https://www.mozilla.com/el/firefox/<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | SeaMonkey<br /> | https://www.seamonkey-project.org/<br /> |-<br /> | Anonymous Web Browser<br /> | Opera<br /> | Tor Browser<br /> | https://www.torproject.org/download/<br /> |-<br /> | Anonymous Web Browser<br /> | Opera<br /> | Firefox Focus<br /> | https://www.mozilla.org/en-US/firefox/mobile/#focus<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | Shorewall<br /> | https://shorewall.org/<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | UFW<br /> | https://help.ubuntu.com/community/UFW<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | FirewallD<br /> | https://firewalld.org/<br /> |-<br /> | Απομακρυσμένη γραμμή εντολών<br /> | iSSH<br /> | Putty<br /> | https://www.chiark.greenend.org.uk/~sgtatham/putty/<br /> |-<br /> | Στοίβα πρωτοκόλλων RTP της GNU Common C++ και του έργου GNU.<br /> |<br /> | Ccrtp<br /> | https://www.gnu.org/software/ccrtp/<br /> |-<br /> | Ελεύθερη υλοποίηση των socks έκδοση 4, socks έκδοση 5 και msproxy.<br /> |<br /> | Dante<br /> | http://www.inet.no/dante/<br /> |-<br /> | CDN που προστατεύει την ιδιωτικότητα και εξυπηρετεί τοπικά αρχεία για απρόσκοπτη λειτουργία των ιστοτόπων. Λειτουργεί ως συμπλήρωμα στους συνήθεις αποκλειστές περιεχομένου.<br /> |<br /> | Decentraleyes<br /> | https://addons.mozilla.org/en-US/firefox/addon/decentraleyes/<br /> |-<br /> | Πρόσθετο του Firefox που τοποθετεί τη Lite (μη-JS / SSL) έκδοση του DuckDuckGo στη γραμμή αναζήτησης.<br /> |<br /> | DuckDuckGo (Lite SSL)<br /> | https://duckduckgo.com/lite/<br /> |-<br /> | Παράκαμψη του αποκλεισμού διευθύνσεων IP (nodejs proxy).<br /> |<br /> | Flashproxy<br /> | https://crypto.stanford.edu/flashproxy/<br /> |-<br /> | Διαχείριση διακομιστών μεσολάβησης για τον Firefox. Για ένα απλούστερο εργαλείο με λιγότερες επιλογές διαμόρφωσης, χρησιμοποιήστε το FoxyProxy Basic.<br /> |<br /> | FoxyProxy Standard<br /> | http://getfoxyproxy.org/<br /> |-<br /> | Ασφαλές, αποκεντρωμένο, μέσο P2P δικτύωσης.<br /> |<br /> | Gnunet<br /> | https://gnunet.org/<br /> |-<br /> | Βιβλιοθήκη που υλοποιεί το TLS 1.0 και το SSL 3.0.<br /> |<br /> | Gnutls<br /> | https://www.gnu.org/software/gnutls/<br /> |-<br /> | GNU έκδοση του προγράμματος περιήγησης Firefox.<br /> |<br /> | Gnuzilla<br /> | https://www.gnu.org/software/gnuzilla/<br /> |-<br /> | Κρυπτογραφεί την επικοινωνία του περιηγητή με πολλούς μεγάλους ιστότοπους, καθιστώντας την περιήγηση πιο ασφαλή.<br /> |<br /> | HTTPS Everywhere<br /> | https://www.eff.org/https-everywhere<br /> |-<br /> | Μέσο P2P δικτύωσης, με έμφαση στην ανωνυμία.<br /> |<br /> | I2P<br /> | https://geti2p.net/<br /> |-<br /> | Εμποδίζει την τροποποίηση του &amp;lt;canvas&amp;gt; για την αποτροπή του Canvas-Fingerprinting.&amp;lt;/canvas&amp;gt;<br /> |<br /> | IceCat/CanvasBlocker<br /> | https://addons.mozilla.org/en-US/firefox/addon/canvasblocker/<br /> |-<br /> | Το WebRTC εκθέτει τις IP(s) του εσωτερικού σας δικτύου, χωρίς την αλληλεπίδραση του χρήστη.<br /> |<br /> | IceCat/Disable WebRTC<br /> | https://addons.mozilla.org/en-US/firefox/addon/happy-bonobo-disable-webrtc/<br /> |-<br /> | Ενεργοποιεί το JavaScript μόνο για ιστότοπους που εμπιστεύεστε.<br /> |<br /> | IceCat/NoScript<br /> | https://noscript.net/<br /> |-<br /> | Διαμόρφωση των κανόνων φιλτραρίσματος πακέτων IP του Linux.<br /> |<br /> | Iptables<br /> | http://www.iptables.org/<br /> |-<br /> | Παραλλαγή του Firefox που εστιάζει στην ιδιωτικότητα, την ασφάλεια και το ελεύθερο λογισμικό.<br /> |<br /> | Librewolf<br /> | https://librewolf.net/<br /> |-<br /> | Απόκρυψη γεωγραφικής θέσης από ιστότοπους.<br /> |<br /> | Location Guard<br /> | https://github.com/chatziko/location-guard<br /> |-<br /> | Βιβλιοθήκη που υποστηρίζει το πρωτόκολλο έναρξης συνόδου (Session Initiation Protocol).<br /> |<br /> | Osip<br /> | https://www.gnu.org/software/osip/<br /> |-<br /> | Επέκταση περιηγητή που ανιχνεύει και αποτρέπει την παρακολούθηση από τρίτους<br /> |<br /> | Privacy Badger<br /> | https://www.eff.org/privacybadger<br /> |-<br /> | Διακομιστής μεσολάβησης (proxy) με αυξημένες δυνατότητες φιλτραρίσματος<br /> |<br /> | Privoxy<br /> | https://www.privoxy.org/<br /> |-<br /> | Ανώνυμος δρομολογητής δικτύου για βελτίωση του απορρήτου στο Διαδίκτυο.<br /> |<br /> | Tor<br /> | https://torproject.org<br /> |-<br /> | Περιηγητής ιστού που βασίζεται σε Firefox ESR για χρήση του δικτύου TOR.<br /> |<br /> | Tor Browser<br /> | https://www.torproject.org/projects/torbrowser.html<br /> |-<br /> | Υποστήριξη Tor για Icedove/Mozilla Thunderbird.<br /> |<br /> | TorBirdy<br /> | https://trac.torproject.org/projects/tor/wiki/torbirdy<br /> |-<br /> | Επιτρέπει σε εφαρμογές φιλικές προς το socks να χρησιμοποιούνται με το Tor.<br /> |<br /> | Torsocks<br /> | https://gitweb.torproject.org/torsocks.git<br /> |-<br /> | Αποκλειστής για μεγάλο εύρος περιεχομένων.<br /> |<br /> | UBlock Origin<br /> | https://github.com/gorhill/uBlock<br /> |-<br /> | Εύκολος έλεγχος οποιασδήποτε κατηγορία αιτημάτων από το πρόγραμμα περιήγησής σας (όπως scripts, iframes, διαφημίσεις, facebook).<br /> |<br /> | UMatrix<br /> | https://addons.mozilla.org/en-US/firefox/addon/umatrix/<br /> |-<br /> | WebSocket pluggable transport - server.<br /> |<br /> | Websocket<br /> | https://gitweb.torproject.org/pluggable-transports/websocket.git<br /> |-<br /> | Κλιμακούμενη δρομολόγηση ως κρυπτογραφημένο δίκτυο IPv6.<br /> |<br /> | Yggdrasil<br /> | https://yggdrasil-network.github.io/<br /> |}<br /> &lt;/div&gt;<br /> <br /> &lt;div style=&quot;border:2px solid #ff8c00; background-color:#fff7f0; padding:10px; margin:10px;&quot;&gt;<br /> <br /> = Ανάπτυξη, φιλοξενία, παρακολούθηση εφαρμογών =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Matomo<br /> | https://matomo.org<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Goaccess<br /> | https://goaccess.io/<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | umami<br /> | https://umami.is<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Plausible-Analytics<br /> | https://plausible.io/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | InfluxDB<br /> | https://www.influxdata.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | TDengine<br /> | https://tdengine.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | TimescaleDB<br /> | https://www.timescale.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | QuestDB<br /> | https://questdb.io/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | Dgraph<br /> | https://dgraph.io/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | ArangoDB<br /> | https://www.arangodb.com/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | Neo4j<br /> | https://neo4j.com/<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | Netdata<br /> | https://github.com/netdata/netdata<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | Grafana<br /> | https://github.com/grafana/grafana<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | ThingsBoard<br /> | https://thingsboard.io/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | Dokku<br /> | http://dokku.viewdocs.io/dokku/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | OpenFaas<br /> | https://www.openfaas.com/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | Caprover<br /> | https://CapRover.com<br /> |}<br /> &lt;/div&gt;<br /> <br /> &lt;div style=&quot;border:2px solid #2f4f4f; background-color:#f4f8f8; padding:10px; margin:10px;&quot;&gt;<br /> <br /> = Κρυπτογραφία =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Σύστημα κρυπτογράφησης αρχείων.<br /> |<br /> | Ecryptfs-utils<br /> | https://launchpad.net/ecryptfs<br /> |-<br /> | Υποστήριξη GPG για το Thunderbird/Icedove.<br /> |<br /> | Enigmail<br /> | http://www.enigmail.net/home/index.php<br /> |-<br /> | Εργαλεία κρυπτογραφίας Java.<br /> |<br /> | Gnu-crypto<br /> | https://www.gnu.org/software/gnu-crypto/<br /> |-<br /> | Υλοποίηση του προτύπου OpenPGP για το Διαδίκτυο.<br /> |<br /> | Gnupg<br /> | https://gnupg.org/<br /> |-<br /> | Γραφική διεπαφή χρήστη για το GNU Privacy Guard (GnuPG).<br /> |<br /> | Gpa<br /> | http://www.gnupg.org/gpa.html<br /> |-<br /> | Βιβλιοθήκη κρυπτογραφίας.<br /> |<br /> | Libgcrypt<br /> | https://gnupg.org/software/libgcrypt/<br /> |}<br /> &lt;/div&gt;<br /> <br /> &lt;div style=&quot;border:2px solid #8b0000; background-color:#fdf4f4; padding:10px; margin:10px;&quot;&gt;<br /> <br /> = Άλλα =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Μια γλώσσα προγραμματισμού για μαθητές και καθηγητές<br /> |<br /> | EDUBlocks<br /> | https://edublocks.org/<br /> |-<br /> | Εικονικός προσωπικός βοηθός<br /> |<br /> | Leon<br /> | https://getleon.ai/<br /> |-<br /> | Ανοιχτού κώδικα λογισμικό για τη συγκέντρωση πληροφοριών (OSINT)<br /> |<br /> | Maryam<br /> | https://github.com/saeeddhqan/Maryam<br /> |-<br /> | Εικονικός προσωπικός βοηθός.<br /> |<br /> | Mycroft<br /> | https://mycroft.ai/<br /> |-<br /> | Ανοιχτού κώδικα λογισμικό διαχείρισης ανθρώπινου δυναμικού (human resources).<br /> |<br /> | Open HRMS Software<br /> | https://www.openhrms.com/<br /> |}<br /> &lt;/div&gt;<br /> <br /> &lt;div style=&quot;border:2px solid #696969; background-color:#f8f8f8; padding:10px; margin:10px;&quot;&gt;<br /> <br /> === Λογισμικό προχωρημένης χρήσης (advanced) ===<br /> <br /> {| class=&quot;mce-item-table&quot;<br /> ! <br /> !Περιγραφή<br /> !Εμπορικό<br /> !Προϊόν ΕΛΛΑΚ<br /> !Ιστοσελίδα<br /> !Πλατφόρμα<br /> |-<br /> |1<br /> |Εξαγωγέας pdf αρχείων<br /> |Adobe Acrobat Professional<br /> |PDFCreator<br /> |https://sourceforge.net/project/showfiles.php?group_id=57796&lt;br&gt;<br /> |Windows<br /> |-<br /> |2<br /> |Απομακρυσμένη διαχείριση επιφάνειας εργασίας<br /> |Microsoft Remote Desktop<br /> |Tight VNC<br /> |https://www.tightvnc.com&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> | rowspan=&quot;3&quot; |3<br /> | rowspan=&quot;3&quot; |Πλατφόρμα δημιουργίας 3D γραφικών<br /> | rowspan=&quot;3&quot; |Autodesk 3ds Max<br /> |Blender<br /> |https://www.blender.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |K-3D<br /> |https://www.k-3d.org/&lt;br&gt;<br /> |Linux, Microsoft Windows, Mac OS X, FreeBSD<br /> |-<br /> |Art of Illusion<br /> |https://www.artofillusion.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;4&quot; |4<br /> | rowspan=&quot;4&quot; |Σχεδίαση Ιστοσελίδων<br /> | rowspan=&quot;4&quot; |Adobe Dreamweaver<br /> |KompoZer<br /> |https://kompozer.net/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Bluefish<br /> |https://bluefish.openoffice.nl/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |Brackets<br /> |https://brackets.io/&lt;br&gt;<br /> |OS Independent<br /> |-<br /> |Atom<br /> |https://atom.io/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |5<br /> | rowspan=&quot;2&quot; |Εξυπηρετητής βάσης δεδομένων<br /> | rowspan=&quot;2&quot; |Microsoft SQL Server<br /> |MySQL Server <br /> |https://www.mysql.com/ &lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |PostgreSQL<br /> |https://www.postgresql.org/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |6<br /> | rowspan=&quot;2&quot; |Εξυπηρετητής Διαδικτύου<br /> | rowspan=&quot;2&quot; |Microsoft IIS<br /> |Apache Web Server<br /> |https://httpd.apache.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Nginx<br /> |https://www.nginx.com/<br /> |Linux, FreeBSD<br /> |-<br /> |7<br /> |Λογισμικό για δημιουργία vector graphics<br /> |Corel Draw X3<br /> |InkScape<br /> |https://www.inkscape.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |8<br /> |Περιβάλλον επιστημονικών κ΄μαθηματικών υπολογισμών<br /> |Mathematica<br /> |Sage<br /> |https://www.sagemath.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;2&quot; |9<br /> | rowspan=&quot;2&quot; |Περιβάλλον μαθηματικών υπολογισμών<br /> | rowspan=&quot;2&quot; |Mathworks Matlab<br /> |GNU Octave<br /> |[https://www.gnu.org/software/octave/https://www.scilab.org/ https://www.gnu.org/software/octave/]&lt;br&gt;<br /> | rowspan=&quot;2&quot; |Windows, Linux, Mac OS X<br /> |-<br /> |SciLab<br /> |[https://www.gnu.org/software/octave/https://www.scilab.org/ https://www.scilab.org/]<br /> |-<br /> |10<br /> |Προσομοιωτής κίνησης δικτύου<br /> |OPNET<br /> |Ns-3<br /> |https://www.nsnam.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |11<br /> |Εφαρμογή σχεδίασης<br /> |Adobe Illustrator<br /> |Skencil<br /> |https://www.skencil.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;6&quot; |12<br /> | rowspan=&quot;6&quot; |Εφαρμογή επεξεργασίας video<br /> | rowspan=&quot;6&quot; |Adobe Premier<br /> |KdenliveVirtualdub<br /> |https://kdenlive.org/&lt;br&gt;<br /> |FreeBSD, Linux, Mac OS X<br /> |-<br /> |Cinerrella<br /> |https://cinelerra.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Kino<br /> |https://kinodv.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Avidemux<br /> |https://www.avidemux.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |VideoLAN Movie Creator<br /> |https://www.videolan.org/vlmc/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Blender<br /> |https://www.blender.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |13<br /> |Δημιουργία γραφικών flash<br /> |Adobe Flash<br /> |F4LSwftools<br /> |https://f4l.sourceforge.net/https://swftools.org/&lt;br&gt;<br /> |Linux, Windows<br /> |-<br /> | rowspan=&quot;2&quot; |14<br /> | rowspan=&quot;2&quot; |Σχεδιαστικό πακέτο<br /> | rowspan=&quot;2&quot; |Microsoft Visio<br /> |Dia<br /> |https://projects.gnome.org/dia/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Libreoffice Draw<br /> |https://www.libreoffice.org/discover/draw/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |15<br /> | rowspan=&quot;2&quot; |Εφαρμογή διαμόρφωσης του σκληρού δίσκου<br /> | rowspan=&quot;2&quot; |Partition Magic<br /> |gparted <br /> |https://gparted.sourceforge.net/ &lt;br&gt;<br /> | rowspan=&quot;2&quot; |Linux<br /> |-<br /> |qtparted<br /> |https://qtparted.sourceforge.net/<br /> |-<br /> |16<br /> |Ανάλυση γεωγραφικών δεδομένων (G.I.S.)<br /> |ESRI ArcGIS<br /> |GRASS GIS QGIS<br /> |https://grass.osgeo.org/ https://www.qgis.org/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> |17<br /> |Διαχείριση εκπαιδευτικού περιεχομένου<br /> |Βlackboard<br /> |Moodle e-Class eFront<br /> |https://moodle.org https://www.openeclass.org/ &lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |18<br /> | rowspan=&quot;2&quot; |Εφαρμογή διαχείρισης έργων<br /> | rowspan=&quot;2&quot; |Microsoft Project<br /> |Open Workbench<br /> |[https://www.openworkbench.org/https://www.projectlibre.org/https://2-plan.com/ https://www.openworkbench.org/]<br /> | rowspan=&quot;2&quot; |Windows, Linux, Mac OS X<br /> |-<br /> |ProjectLibre<br /> |[https://www.openworkbench.org/https://www.projectlibre.org/https://2-plan.com/ https://www.projectlibre.org/]<br /> |-<br /> | rowspan=&quot;4&quot; |19<br /> | rowspan=&quot;4&quot; |Περιβάλλον σχεδίασης CAD<br /> | rowspan=&quot;4&quot; |AutoCAD<br /> |Archimedes<br /> |https://www.codeplex.com/archimedes&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |FreeCAD<br /> |https://freecadweb.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |LibreCAD<br /> |https://librecad.org/cms/home.html&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |<br /> |<br /> |<br /> |-<br /> |20<br /> |Οπτική αναγνώριση κειμένου<br /> |FineReader<br /> |Kooka<br /> |https://kooka.kde.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |21<br /> |Εργαλείο αποσφαλμάτωσης κώδικα<br /> |Rational Purify<br /> |Valgrind<br /> |https://valgrind.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |22<br /> |Ασφαλείς συναλλαγές<br /> |Authorize.net<br /> |OpenSSL<br /> |https://www.openssl.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;2&quot; |23<br /> | rowspan=&quot;2&quot; |Διαχείριση οικιακών οικονομικών<br /> | rowspan=&quot;2&quot; |Microsoft Money<br /> |HomeBank <br /> |https://homebank.free.fr/ &lt;br&gt;<br /> | rowspan=&quot;2&quot; |Windows, Linux<br /> |-<br /> |turboCash<br /> |https://www.turbocashuk.com/<br /> |-<br /> |24<br /> |Εξυπηρετητής εφαρμογών<br /> |Oracle WebLogic Server<br /> |JBoss Tomcat<br /> |https://www.jboss.org/jbossas/ https://tomcat.apache.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |25<br /> |Εξομοιωτής αστρονομία<br /> |Starry Night<br /> |Celestia<br /> |https://shatters.net/celestia/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |26<br /> |Μεταγλωττιστής c/c++<br /> |Visual C compiler<br /> |Gcc<br /> |https://gcc.gnu.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |27<br /> |Συνεργατικά εργαλεία διαχείρισης projects<br /> |SourceForge<br /> |GForge<br /> |https://gforge.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |28<br /> |Ανάλυση κίνησης δικτύου<br /> |Microsoft Network Monitor<br /> |Wireshark<br /> |https://www.wireshark.org/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> | rowspan=&quot;4&quot; |29<br /> | rowspan=&quot;4&quot; |Διαχείριση εκδόσεων λογισμικού<br /> | rowspan=&quot;3&quot; |Perforce<br /> |Subversion<br /> |https://subversion.tigris.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Git<br /> |https://git-scm.com/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |TortoiseSVN<br /> |https://tortoisesvn.tigris.org/&lt;br&gt;<br /> |Windows<br /> |-<br /> | <br /> | <br /> | <br /> | <br /> |-<br /> |30<br /> |Στατιστική Ανάλυση<br /> |SPSS<br /> |GNU PSPP R – Project<br /> |https://www.gnu.org/software/pspp/ https://www.r-project.org&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |31<br /> |Desktop Publishing<br /> |Microsoft Publisher<br /> |Scribus<br /> |https://www.scribus.net/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;3&quot; |32<br /> | rowspan=&quot;3&quot; |Ανάκτηση δεδομένων<br /> | rowspan=&quot;3&quot; | <br /> |Photorec<br /> |https://www.cgsecurity.org/wiki/PhotoRec&lt;br&gt;<br /> | rowspan=&quot;3&quot; |Windows, Linux, Mac OS XLinux<br /> |-<br /> |TestDisc<br /> |[https://www.cgsecurity.org/wiki/TestDiskhttps://foremost.sourceforge.net/ https://www.cgsecurity.org/wiki/TestDisk]<br /> |-<br /> |Foremost<br /> |[https://www.cgsecurity.org/wiki/TestDiskhttps://foremost.sourceforge.net/ https://foremost.sourceforge.net/]<br /> |-<br /> |33<br /> |Mechanical computer-aided design (MCAD)<br /> |Autodesk Inventor, SolidWorks<br /> |FreeCAD<br /> |https://freecadweb.org/&lt;br&gt;<br /> |Microsoft Windows, Linux, OS X[1]<br /> |-<br /> |34<br /> |CRM<br /> | <br /> | Vtiger Suitecrm<br /> |https://sourceforge.net/projects/vtigercrm/ https://suitecrm.com/&lt;br&gt;<br /> | <br /> |-<br /> | rowspan=&quot;2&quot; |35<br /> | rowspan=&quot;2&quot; |ERP<br /> | rowspan=&quot;2&quot; | <br /> |Adempiere<br /> |<br /> |Linux, OS X, Unix, Windows<br /> |-<br /> |Dolibarr<br /> |https://www.dolibarr.gr/&lt;br&gt;<br /> |Windows, Linux, Unix, Mac OS X<br /> |-<br /> |36<br /> |Μίξη Ήχου/ Εργαλεία DJ<br /> |Traktor Scratch, Scratch Live<br /> |Mixx<br /> |https://www.mixxx.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;4&quot; |37<br /> | rowspan=&quot;4&quot; |Μουσική σύνθεση<br /> | rowspan=&quot;4&quot; |DrumCore , FL Studio, Finale, GuitarPro<br /> |Hydrogen<br /> |https://www.hydrogen-music.org/&lt;br&gt;<br /> |Windows, Linux, OS X.<br /> |-<br /> |Linux MultiMedia Studio<br /> |https://lmms.sourceforge.net/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> |MuseScore<br /> |https://musescore.org/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |TuxGuitar<br /> |https://www.tuxguitar.com.ar/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> | rowspan=&quot;3&quot; |38<br /> | rowspan=&quot;3&quot; |Σύλληψη βίντεο οθόνης (screen video capture)<br /> | rowspan=&quot;3&quot; |Camtasia<br /> |CamStudio<br /> |https://camstudio.org/&lt;br&gt;<br /> |Windows<br /> |-<br /> |Krut Computer Recorder<br /> |https://krut.sourceforge.net/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |Webinaria<br /> |https://www.webinaria.com/index.php&lt;br&gt;<br /> |Windows, Linux OS X<br /> |}<br /> ----<br /> &lt;/div&gt;<br /> <br /> <br /> === Επιπλέον πληροφορίες για το ανοιχτό λογισμικό στην [https://el.wikipedia.org/wiki/%CE%91%CE%BD%CE%BF%CE%B9%CE%BA%CF%84%CF%8C%CF%82_%CE%9A%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1%CF%82 wikipedia], μπορείτε να βελτιώσετε [https://el.wikipedia.org/wiki/%CE%91%CE%BD%CE%BF%CE%B9%CE%BA%CF%84%CF%8C%CF%82_%CE%9A%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1%CF%82 αυτό] το άρθρο στα Ελληνικά αξιοποιώντας το [https://en.wikipedia.org/wiki/Open_source αντίστοιχο] στα Αγγλικά. ===<br /> <br /> == [https://directory.fsf.org/wiki/Main_Page The Free Software Directory, is a catalog of useful software] ==<br /> == [https://www.openhub.net/ Discover, Track and Compare Open Source Projects] ==<br /> <br /> ----<br /> <br /> [[Κατηγορία:ΕΛΛΑΚ]]<br /> [[Κατηγορία:Μελέτες]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%A0%CE%AF%CE%BD%CE%B1%CE%BA%CE%B1%CF%82_%CE%B9%CF%83%CE%BF%CE%B4%CF%8D%CE%BD%CE%B1%CE%BC%CF%89%CE%BD_%CE%BB%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1&diff=2464 2025-11-05T12:04:08Z

<p>Pkst: </p> <hr /> <div>=== &lt;strong&gt;Τα βασικά κριτήρια επιλογής ανοιχτού λογισμικού είναι τα παρακάτω&lt;/strong&gt;: ===<br /> 1. η &lt;strong&gt;καταλληλότητα&lt;/strong&gt; για τις ανάγκες της επιχείρησης/οργανισμού,<br /> <br /> 2. ο &lt;strong&gt;αριθμός των ενεργών μελών&lt;/strong&gt; της κοινότητας (προγραμματιστών/developers) που το αναπτύσσουν,<br /> <br /> 3. η &lt;strong&gt;άδεια χρήσης&lt;/strong&gt; (Διαθέσιμες Άδειες-https://www.opensource.org/licenses),<br /> <br /> 4. &lt;strong&gt;η<br /> &lt;nowiki&gt; &lt;/nowiki&gt;ύπαρξη στελεχών που είναι σε θέση να αναλάβουν την υποστήριξη του <br /> λογισμικού εσωτερικά στην επιχείρηση/οργανισμό ή εναλλακτικά η επιλογή εξωτερικών συνεργατών ή τοπικής εταιρείας πληροφορικής με τεχνογνωσία και εμπειρία στην υποστήριξη του επιλεγμένου λογισμικού, &lt;/strong&gt;<br /> <br /> &lt;strong&gt;5. η διάθεση πόρων σε συνεργασία με την αντίστοιχη κοινότητα<br /> &lt;nowiki&gt; &lt;/nowiki&gt;για να υποστηριχθεί και να επεκταθεί το λογισμικό που επιλέξατε, οι <br /> κοινότητες που αναπτύσσουν και υποστηρίζουν το ανοιχτό λογισμικό είναι <br /> “ανοιχτοί” συνεταιρισμοί που βασίζονται στην ενεργή υποστήριξη όλων των <br /> ωφελουμένων.&lt;/strong&gt; <br /> <br /> <br /> == Προτεινόμενο Λογισμικό ==<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;width:30%; text-align:center; background:#ececec;&quot; | Περιγραφή<br /> ! style=&quot;width:20%; text-align:center; background:#ececec;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;width:20%; text-align:center; background:#ececec;&quot; | ΕΛ-ΛΑΚ<br /> ! style=&quot;width:30%; text-align:center; background:#ececec;&quot; | Ιστοσελίδα<br /> |-<br /> | Περιηγητής ιστού<br /> | Edge, Safari<br /> | '''Firefox'''<br /> | [https://www.mozilla.org/en-US/firefox/ Mozilla Firefox]<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | '''LibreOffice'''<br /> | [https://eo.libreoffice.org/ LibreOffice]&lt;br /&gt;[https://elearn.ellak.gr/course/view.php?id=62 '''Χρήση του Libre Office''']<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | '''Mozilla Thunderbird'''<br /> | [https://www.thunderbird.net/en-US/ Thunderbird]<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων, Τηλεφωνία μέσω internet<br /> | Slack, Discord, Facebook Messenger<br /> | '''Signal'''<br /> | [https://www.signal.org/ Signal]<br /> |-<br /> | Ανώνυμη περιήγηση<br /> | Opera<br /> | '''Tor Browser'''<br /> | [https://www.torproject.org/download/ Tor Project]<br /> |-<br /> | Λειτουργικό Σύστημα<br /> | Microsoft Windows, Mac OS<br /> | '''Ubuntu'''<br /> | [https://ubuntu-gr.org/ Ubuntu GR]<br /> |-<br /> | Προγραμματισμός συναντήσεων ομάδων/εργαζομένων<br /> | Doodle, Calendly<br /> | '''Framadate'''<br /> | [https://framadate.org/abc/en/ Framadate]<br /> |}<br /> <br /> <br /> = 🖥️ Εργαλεία Γραφείου =<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | Thunderbird<br /> | https://www.thunderbird.net/en-US/<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | Evolution<br /> | https://projects.gnome.org/evolution/<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | K-9 Mail<br /> | https://k9mail.github.io/<br /> |-<br /> | Προστασία από ιούς<br /> | McAfee VirusScan<br /> | ClamWin<br /> | https://www.clamwin.com/<br /> |-<br /> | Προστασία από ιούς<br /> | McAfee VirusScan<br /> | Lynis<br /> | https://cisofy.com/lynis/<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | gedit<br /> | https://projects.gnome.org/gedit<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | NotePad++<br /> | https://notepad-plus-plus.org/<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | kedit<br /> | https://kate-editor.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Code::Blocks (C, C++ and Fortran)<br /> | https://www.codeblocks.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Dev-C++ (C και C++)<br /> | https://www.bloodshed.net/devcpp.html<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Mono (Microsoft .NET Framework, ECMA standards C#)<br /> | https://www.mono-project.com/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Ultimate++ (C++)<br /> | https://www.ultimatepp.org/<br /> |-<br /> | Εφαρμογή διαχείρισης αρχείων<br /> | Total Commander<br /> | GNOME Commander<br /> | https://gcmd.github.io/<br /> |-<br /> | Δημιουργία αντιγράφων ασφαλείας και ανάκτηση δεδομένων<br /> | Norton Ghost<br /> | PartitionImage<br /> | https://www.partimage.org/<br /> |-<br /> | Συμπίεση/αποσυμπίεση αρχείων<br /> | WinZip<br /> | 7-Zip<br /> | https://www.7-zip.org/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Kontact<br /> | https://kontact.org/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Thunderbird<br /> | https://www.thunderbird.net/en-US/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Evolution<br /> | https://projects.gnome.org/evolution/<br /> |-<br /> | Ανάγνωση αρχείων PS<br /> | Adobe PostScript<br /> | Ghostscript<br /> | http://pages.cs.wisc.edu/~ghost/<br /> |-<br /> | Ανάγνωση αρχείων PS<br /> | Adobe PostScript<br /> | KGhostview<br /> | http://pages.cs.wisc.edu/~ghost/<br /> |-<br /> | Αυτόματη μετάφραση σε Python, με χρήση νευρωνικών δικτύων<br /> |<br /> | Argos Translate<br /> | https://www.argosopentech.com/<br /> |-<br /> | Ελεύθερο API μηχανικής μετάφρασης, self-hosted, χωρίς περιορισμούς όγκου<br /> |<br /> | LibreTranslate<br /> | https://libretranslate.com/<br /> |-<br /> | Searx – μηχανή μετα-αναζήτησης που σέβεται την ιδιωτικότητα, βασισμένη στον διαμεσολαβητή Seeks<br /> |<br /> | Searx<br /> | https://github.com/asciimoo/searx/wiki/<br /> |-<br /> | Προγραμματισμός συναντήσεων ομάδων/εργαζομένων<br /> | Doodle, Calendly<br /> | Framadate<br /> | https://framadate.org/abc/en/<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | LibreOffice<br /> | https://eo.libreoffice.org/<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | OpenOffice<br /> | https://www.openoffice.org/el/<br /> |-<br /> | Αναγνώστης αρχείων PDF<br /> | Adobe PDF Reader<br /> | Evince<br /> | https://wiki.gnome.org/Apps/Evince<br /> |-<br /> | Αναγνώστης αρχείων PDF<br /> | Adobe PDF Reader<br /> | KDE (KPDF)<br /> | https://kpdf.kde.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Eclipse<br /> | https://www.eclipse.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | NetBeans<br /> | https://netbeans.apache.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Geany<br /> | https://www.geany.org/<br /> |-<br /> | Ολοκλήρωση – Integration<br /> | Zapier<br /> | Huginn<br /> | https://github.com/huginn/huginn<br /> |-<br /> | Ολοκλήρωση – Integration<br /> | Zapier<br /> | n8n<br /> | https://n8n.io<br /> |}<br /> <br /> ----<br /> = 📰 Ιστολόγια και Μέσα Δικτύωσης =<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Λογισμικό διακομιστή microblogging που ακολουθεί το πρότυπο ActivityPub, υποστηρίζει προειδοποιήσεις περιεχομένου και ιδιωτικά μηνύματα<br /> |<br /> | Mastodon<br /> | https://joinmastodon.org<br /> |-<br /> | Λογισμικό διακομιστή ιστολογίου (blogging) που χρησιμοποιεί το πρότυπο Activity Streams<br /> |<br /> | Pump.io<br /> | http://pump.io<br /> |-<br /> | Αποκεντρωμένη πλατφόρμα microblogging P2P<br /> |<br /> | Twister<br /> | http://twister.net.co/<br /> |-<br /> | Μια μινιμαλιστική πλατφόρμα δημοσίευσης, φτιαγμένη για συγγραφείς<br /> |<br /> | WriteFreely<br /> | https://writefreely.org/<br /> |}<br /> <br /> ----<br /> <br /> = 💬 Ανταλλαγή Μηνυμάτων, Τηλεφωνία και Βιντεοκλήσεις =<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Empathy<br /> | https://live.gnome.org/Empathy<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Kopete<br /> | https://apps.kde.org/kopete/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Pidgin<br /> | https://www.pidgin.im/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Telegram<br /> | https://telegram.org/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Signal<br /> | https://www.signal.org/<br /> |-<br /> | Εργαλείο ηλεκτρονικής συνδιάλεξης<br /> | mIRC<br /> | HexChat<br /> | https://hexchat.github.io/downloads.html<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Ekiga<br /> | https://www.ekiga.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Empathy<br /> | https://wiki.gnome.org/Apps/Empathy<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Linphone<br /> | https://www.linphone.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Telegram<br /> | https://telegram.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Signal<br /> | https://www.signal.org/<br /> |-<br /> | Εξυπηρετητής τηλεφωνίας<br /> |<br /> | Bayonne<br /> | https://www.gnu.org/software/bayonne/<br /> |-<br /> | Υπηρεσίες φωνής (VoIP) και τηλεδιάσκεψης<br /> |<br /> | Ekiga<br /> | http://www.ekiga.org/<br /> |-<br /> | Πρόγραμμα ανταλλαγής μηνυμάτων που υποστηρίζει συνομιλίες κειμένου, φωνής και βίντεο και μεταφορές αρχείων μέσω πολλών διαφορετικών πρωτοκόλλων<br /> |<br /> | Empathy<br /> | https://wiki.gnome.org/Apps/Empathy<br /> |-<br /> | Πρόγραμμα τηλεπικοινωνιών GNU<br /> |<br /> | Gnucomm<br /> | https://www.gnu.org/software/gnucomm/<br /> |-<br /> | Κατανεμημένη και κρυπτογραφημένη επικοινωνία ήχου/βίντεο/κειμένου<br /> |<br /> | Jami<br /> | https://www.gnu.org/software/jami/<br /> |-<br /> | Λύση τηλεφωνίας μέσω του Session Initiation Protocol (SIP)<br /> |<br /> | Linphone<br /> | https://www.linphone.org<br /> |-<br /> | Λογισμικό διακομιστή ανταλλαγής μηνυμάτων Synapse: Matrix<br /> |<br /> | Matrix-synapse<br /> | https://matrix.org/<br /> |-<br /> | Ασφαλής αποκεντρωμένη πλατφόρμα ανταλλαγής μηνυμάτων με κρυπτογράφηση e2e<br /> |<br /> | Pica Pica Messenger<br /> | https://picapica.im/?page_id=192&amp;lang=en<br /> |-<br /> | Πρόσθετο Pidgin για κρυφές συνομιλίες<br /> |<br /> | Pidgin-otr<br /> | https://otr.cypherpunks.ca<br /> |-<br /> | Client για το Bitmessage<br /> |<br /> | PyBitmessage<br /> | https://github.com/Bitmessage/PyBitmessage<br /> |-<br /> | Αποκεντρωμένη ανταλλαγή μηνυμάτων μέσω του δικτύου Tor<br /> |<br /> | Ricochet<br /> | https://github.com/ricochet-im/Ricochet<br /> |-<br /> | Εξυπηρετητής τηλεφωνικών κλήσεων γραφείου με βάση το Session Initiation Protocol (SIP)<br /> |<br /> | Sipwitch<br /> | https://www.gnu.org/software/sipwitch/<br /> |-<br /> | Τηλεφωνία μέσω SIP/VoIP<br /> |<br /> | Twinkle<br /> | http://www.xs4all.nl/~mfnboer/twinkle/home.html<br /> |-<br /> | Συλλογή scripts για τον WeeChat IRC client<br /> |<br /> | Weechat-scripts<br /> | https://weechat.org/scripts<br /> |-<br /> | Εργαλείο επικοινωνίας που σέβεται την ιδιωτικότητα<br /> |<br /> | Wire<br /> | https://wire.com/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Rocket.Chat<br /> | https://rocket.chat/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Mattermost<br /> | https://mattermost.com<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Zulip<br /> | https://zulip.com/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Element<br /> | https://element.io/<br /> |}<br /> &lt;/div&gt;<br /> &lt;div id=&quot;πολυμέσα-επεξεργασία-διαχείριση-αναπαραγωγή&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Πολυμέσα: Επεξεργασία, διαχείριση, αναπαραγωγή =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | Rhythmbox<br /> | https://projects.gnome.org/rhythmbox/<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | Amarok<br /> | https://amarok.kde.org/<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | DeaDBeeF<br /> | http://deadbeef.sourceforge.net/<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Gimp<br /> | https://www.gimp.org/<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Pinta<br /> | https://pinta-project.com/download.ashx<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Krita<br /> | https://www.krita.org/download<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Inkscape<br /> | https://inkscape.org/<br /> |-<br /> | Εφαρμογή επεξεργασίας ήχου<br /> | Adobe Audition, Logic<br /> | Audacity<br /> | https://audacity.sourceforge.net<br /> |-<br /> | Εφαρμογή επεξεργασίας ήχου<br /> | Adobe Audition, Logic<br /> | Ardour<br /> | https://ardour.org/<br /> |-<br /> | Περιβάλλον εγγραφής οπτικών μέσων<br /> | Nero Burning Rom<br /> | Brasero<br /> | https://www.gnome.org/projects/brasero/<br /> |-<br /> | Περιβάλλον εγγραφής οπτικών μέσων<br /> | Nero Burning Rom<br /> | K3b<br /> | https://userbase.kde.org/K3b<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | VLC<br /> | https://www.videolan.org/vlc/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | XBMC Media Center<br /> | https://xbmc.org/about/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Miro<br /> | https://www.getmiro.com/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Banshee<br /> | http://www.banshee-project.org/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Audacious<br /> | https://audacious-media-player.org/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Data<br /> | https://www.datacrow.net/<br /> |-<br /> | Αποκωδικοποίηση και αντιγραφή DVD<br /> | DVDShrink<br /> | k9copy<br /> | https://k9copy.sourceforge.net/<br /> |-<br /> | Παρακολούθηση τηλεόρασης μέσω υπολογιστή<br /> | WinTV<br /> | tvtime<br /> | https://tvtime.sourceforge.net/<br /> |-<br /> | Παρακολούθηση τηλεόρασης μέσω υπολογιστή<br /> | WinTV<br /> | MythTV<br /> | https://www.mythtv.org/<br /> |-<br /> | Κωδικοποιητές video<br /> | DivX<br /> | xvid<br /> | https://labs.xvid.com/<br /> |-<br /> | Συμπίεση/αποσυμπίεση αρχείων video<br /> |<br /> | Theora<br /> | https://www.theora.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | GTKPod<br /> | https://github.com/trinitonesounds/gtkpod<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Banshee<br /> | https://banshee-project.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Amarok<br /> | https://amarok.kde.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Rhythmbox<br /> | https://projects.gnome.org/rhythmbox/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Data Crow<br /> | https://www.datacrow.net/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Wwidd<br /> | https://github.com/wwidd/wwidd<br /> |-<br /> | Διαχείριση εικόνων<br /> | ACDSee<br /> | EOG<br /> | https://gitlab.gnome.org/GNOME/eog<br /> |-<br /> | Διαχείριση εικόνων<br /> | ACDSee<br /> | Shotwell<br /> | https://wiki.gnome.org/Apps/Shotwell<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> &lt;div id=&quot;διαμοιρασμών-αρχείων-και-πολυμέσων&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Διαμοιρασμών αρχείων και πολυμέσων =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | Filezilla<br /> | https://filezilla-project.org/<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | gFTP<br /> | https://github.com/masneyb/gftp<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | WinSCP<br /> | https://winscp.net/eng/index.php<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων torrent<br /> | uTorrent<br /> | Transmission<br /> | https://www.transmissionbt.com/<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων torrent<br /> | uTorrent<br /> | qBittorent<br /> | https://www.qbittorrent.org/<br /> |-<br /> | Peer to peer ανταλλαγή αρχείων<br /> | eMule<br /> | Gnutella<br /> | https://sourceforge.net/projects/gtk-gnutella/<br /> |-<br /> | Λογισμικό διακομιστή για διαμοιρασμό πολυμέσων.<br /> |<br /> | Mediagoblin<br /> | https://mediagoblin.org/<br /> |-<br /> | Το OnionShare είναι ένα δωρεάν εργαλείο που σας επιτρέπει ασφαλή και ανώνυμο διαμοιρασμό αρχείων οποιουδήποτε μεγέθους.<br /> |<br /> | OnionShare<br /> | https://onionshare.org/<br /> |-<br /> | Λογισμικό διακομιστή κοινής χρήσης φωτογραφιών, που υποστηρίζεται από το ActivityPub.<br /> |<br /> | Pixelfed<br /> | https://pixelfed.org/<br /> |-<br /> | Διαμοιρασμός αρχείων μέσω BitTorrent/Internet TV που βασίζεται σε Python.<br /> |<br /> | Tribler<br /> | http://www.tribler.org/<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> &lt;div id=&quot;περιήγηση-ιδιωτικότητα-υποδομές-δικτύου-και-αποκεντρωμένα-δίκτυα&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Περιήγηση, ιδιωτικότητα, υποδομές δικτύου και αποκεντρωμένα δίκτυα =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | Chromium<br /> | https://www.chromium.org/Home<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | Mozilla Firefox<br /> | https://www.mozilla.com/el/firefox/<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | SeaMonkey<br /> | https://www.seamonkey-project.org/<br /> |-<br /> | Anonymous Web Browser<br /> | Opera<br /> | Tor Browser<br /> | https://www.torproject.org/download/<br /> |-<br /> | Anonymous Web Browser<br /> | Opera<br /> | Firefox Focus<br /> | https://www.mozilla.org/en-US/firefox/mobile/#focus<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | Shorewall<br /> | https://shorewall.org/<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | UFW<br /> | https://help.ubuntu.com/community/UFW<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | FirewallD<br /> | https://firewalld.org/<br /> |-<br /> | Απομακρυσμένη γραμμή εντολών<br /> | iSSH<br /> | Putty<br /> | https://www.chiark.greenend.org.uk/~sgtatham/putty/<br /> |-<br /> | Στοίβα πρωτοκόλλων RTP της GNU Common C++ και του έργου GNU.<br /> |<br /> | Ccrtp<br /> | https://www.gnu.org/software/ccrtp/<br /> |-<br /> | Ελεύθερη υλοποίηση των socks έκδοση 4, socks έκδοση 5 και msproxy.<br /> |<br /> | Dante<br /> | http://www.inet.no/dante/<br /> |-<br /> | CDN που προστατεύει την ιδιωτικότητα και εξυπηρετεί τοπικά αρχεία για απρόσκοπτη λειτουργία των ιστοτόπων. Λειτουργεί ως συμπλήρωμα στους συνήθεις αποκλειστές περιεχομένου.<br /> |<br /> | Decentraleyes<br /> | https://addons.mozilla.org/en-US/firefox/addon/decentraleyes/<br /> |-<br /> | Πρόσθετο του Firefox που τοποθετεί τη Lite (μη-JS / SSL) έκδοση του DuckDuckGo στη γραμμή αναζήτησης.<br /> |<br /> | DuckDuckGo (Lite SSL)<br /> | https://duckduckgo.com/lite/<br /> |-<br /> | Παράκαμψη του αποκλεισμού διευθύνσεων IP (nodejs proxy).<br /> |<br /> | Flashproxy<br /> | https://crypto.stanford.edu/flashproxy/<br /> |-<br /> | Διαχείριση διακομιστών μεσολάβησης για τον Firefox. Για ένα απλούστερο εργαλείο με λιγότερες επιλογές διαμόρφωσης, χρησιμοποιήστε το FoxyProxy Basic.<br /> |<br /> | FoxyProxy Standard<br /> | http://getfoxyproxy.org/<br /> |-<br /> | Ασφαλές, αποκεντρωμένο, μέσο P2P δικτύωσης.<br /> |<br /> | Gnunet<br /> | https://gnunet.org/<br /> |-<br /> | Βιβλιοθήκη που υλοποιεί το TLS 1.0 και το SSL 3.0.<br /> |<br /> | Gnutls<br /> | https://www.gnu.org/software/gnutls/<br /> |-<br /> | GNU έκδοση του προγράμματος περιήγησης Firefox.<br /> |<br /> | Gnuzilla<br /> | https://www.gnu.org/software/gnuzilla/<br /> |-<br /> | Κρυπτογραφεί την επικοινωνία του περιηγητή με πολλούς μεγάλους ιστότοπους, καθιστώντας την περιήγηση πιο ασφαλή.<br /> |<br /> | HTTPS Everywhere<br /> | https://www.eff.org/https-everywhere<br /> |-<br /> | Μέσο P2P δικτύωσης, με έμφαση στην ανωνυμία.<br /> |<br /> | I2P<br /> | https://geti2p.net/<br /> |-<br /> | Εμποδίζει την τροποποίηση του &amp;lt;canvas&amp;gt; για την αποτροπή του Canvas-Fingerprinting.&amp;lt;/canvas&amp;gt;<br /> |<br /> | IceCat/CanvasBlocker<br /> | https://addons.mozilla.org/en-US/firefox/addon/canvasblocker/<br /> |-<br /> | Το WebRTC εκθέτει τις IP(s) του εσωτερικού σας δικτύου, χωρίς την αλληλεπίδραση του χρήστη.<br /> |<br /> | IceCat/Disable WebRTC<br /> | https://addons.mozilla.org/en-US/firefox/addon/happy-bonobo-disable-webrtc/<br /> |-<br /> | Ενεργοποιεί το JavaScript μόνο για ιστότοπους που εμπιστεύεστε.<br /> |<br /> | IceCat/NoScript<br /> | https://noscript.net/<br /> |-<br /> | Διαμόρφωση των κανόνων φιλτραρίσματος πακέτων IP του Linux.<br /> |<br /> | Iptables<br /> | http://www.iptables.org/<br /> |-<br /> | Παραλλαγή του Firefox που εστιάζει στην ιδιωτικότητα, την ασφάλεια και το ελεύθερο λογισμικό.<br /> |<br /> | Librewolf<br /> | https://librewolf.net/<br /> |-<br /> | Απόκρυψη γεωγραφικής θέσης από ιστότοπους.<br /> |<br /> | Location Guard<br /> | https://github.com/chatziko/location-guard<br /> |-<br /> | Βιβλιοθήκη που υποστηρίζει το πρωτόκολλο έναρξης συνόδου (Session Initiation Protocol).<br /> |<br /> | Osip<br /> | https://www.gnu.org/software/osip/<br /> |-<br /> | Επέκταση περιηγητή που ανιχνεύει και αποτρέπει την παρακολούθηση από τρίτους<br /> |<br /> | Privacy Badger<br /> | https://www.eff.org/privacybadger<br /> |-<br /> | Διακομιστής μεσολάβησης (proxy) με αυξημένες δυνατότητες φιλτραρίσματος<br /> |<br /> | Privoxy<br /> | https://www.privoxy.org/<br /> |-<br /> | Ανώνυμος δρομολογητής δικτύου για βελτίωση του απορρήτου στο Διαδίκτυο.<br /> |<br /> | Tor<br /> | https://torproject.org<br /> |-<br /> | Περιηγητής ιστού που βασίζεται σε Firefox ESR για χρήση του δικτύου TOR.<br /> |<br /> | Tor Browser<br /> | https://www.torproject.org/projects/torbrowser.html<br /> |-<br /> | Υποστήριξη Tor για Icedove/Mozilla Thunderbird.<br /> |<br /> | TorBirdy<br /> | https://trac.torproject.org/projects/tor/wiki/torbirdy<br /> |-<br /> | Επιτρέπει σε εφαρμογές φιλικές προς το socks να χρησιμοποιούνται με το Tor.<br /> |<br /> | Torsocks<br /> | https://gitweb.torproject.org/torsocks.git<br /> |-<br /> | Αποκλειστής για μεγάλο εύρος περιεχομένων.<br /> |<br /> | UBlock Origin<br /> | https://github.com/gorhill/uBlock<br /> |-<br /> | Εύκολος έλεγχος οποιασδήποτε κατηγορία αιτημάτων από το πρόγραμμα περιήγησής σας (όπως scripts, iframes, διαφημίσεις, facebook).<br /> |<br /> | UMatrix<br /> | https://addons.mozilla.org/en-US/firefox/addon/umatrix/<br /> |-<br /> | WebSocket pluggable transport - server.<br /> |<br /> | Websocket<br /> | https://gitweb.torproject.org/pluggable-transports/websocket.git<br /> |-<br /> | Κλιμακούμενη δρομολόγηση ως κρυπτογραφημένο δίκτυο IPv6.<br /> |<br /> | Yggdrasil<br /> | https://yggdrasil-network.github.io/<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> &lt;div id=&quot;ανάπτυξη-φιλοξενία-παρακολούθηση-εφαρμογών&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Ανάπτυξη, φιλοξενία, παρακολούθηση εφαρμογών =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Matomo<br /> | https://matomo.org<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Goaccess<br /> | https://goaccess.io/<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | umami<br /> | https://umami.is<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Plausible-Analytics<br /> | https://plausible.io/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | InfluxDB<br /> | https://www.influxdata.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | TDengine<br /> | https://tdengine.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | TimescaleDB<br /> | https://www.timescale.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | QuestDB<br /> | https://questdb.io/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | Dgraph<br /> | https://dgraph.io/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | ArangoDB<br /> | https://www.arangodb.com/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | Neo4j<br /> | https://neo4j.com/<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | Netdata<br /> | https://github.com/netdata/netdata<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | Grafana<br /> | https://github.com/grafana/grafana<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | ThingsBoard<br /> | https://thingsboard.io/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | Dokku<br /> | http://dokku.viewdocs.io/dokku/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | OpenFaas<br /> | https://www.openfaas.com/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | Caprover<br /> | https://CapRover.com<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> &lt;div id=&quot;κρυπτογραφία&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Κρυπτογραφία =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Σύστημα κρυπτογράφησης αρχείων.<br /> |<br /> | Ecryptfs-utils<br /> | https://launchpad.net/ecryptfs<br /> |-<br /> | Υποστήριξη GPG για το Thunderbird/Icedove.<br /> |<br /> | Enigmail<br /> | http://www.enigmail.net/home/index.php<br /> |-<br /> | Εργαλεία κρυπτογραφίας Java.<br /> |<br /> | Gnu-crypto<br /> | https://www.gnu.org/software/gnu-crypto/<br /> |-<br /> | Υλοποίηση του προτύπου OpenPGP για το Διαδίκτυο.<br /> |<br /> | Gnupg<br /> | https://gnupg.org/<br /> |-<br /> | Γραφική διεπαφή χρήστη για το GNU Privacy Guard (GnuPG).<br /> |<br /> | Gpa<br /> | http://www.gnupg.org/gpa.html<br /> |-<br /> | Βιβλιοθήκη κρυπτογραφίας.<br /> |<br /> | Libgcrypt<br /> | https://gnupg.org/software/libgcrypt/<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> &lt;div id=&quot;άλλα&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Άλλα =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Μια γλώσσα προγραμματισμού για μαθητές και καθηγητές<br /> |<br /> | EDUBlocks<br /> | https://edublocks.org/<br /> |-<br /> | Εικονικός προσωπικός βοηθός<br /> |<br /> | Leon<br /> | https://getleon.ai/<br /> |-<br /> | Ανοιχτού κώδικα λογισμικό για τη συγκέντρωση πληροφοριών (OSINT)<br /> |<br /> | Maryam<br /> | https://github.com/saeeddhqan/Maryam<br /> |-<br /> | Εικονικός προσωπικός βοηθός.<br /> |<br /> | Mycroft<br /> | https://mycroft.ai/<br /> |-<br /> | Ανοιχτού κώδικα λογισμικό διαχείρισης ανθρώπινου δυναμικού (human resources).<br /> |<br /> | Open HRMS Software<br /> | https://www.openhrms.com/<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> <br /> === Λογισμικό προχωρημένης χρήσης (advanced) ===<br /> {| class=&quot;mce-item-table&quot;<br /> ! <br /> !Περιγραφή<br /> !Εμπορικό<br /> !Προϊόν ΕΛΛΑΚ<br /> !Ιστοσελίδα<br /> !Πλατφόρμα<br /> |-<br /> |1<br /> |Εξαγωγέας pdf αρχείων<br /> |Adobe Acrobat Professional<br /> |PDFCreator<br /> |https://sourceforge.net/project/showfiles.php?group_id=57796&lt;br&gt;<br /> |Windows<br /> |-<br /> |2<br /> |Απομακρυσμένη διαχείριση επιφάνειας εργασίας<br /> |Microsoft Remote Desktop<br /> |Tight VNC<br /> |https://www.tightvnc.com&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> | rowspan=&quot;3&quot; |3<br /> | rowspan=&quot;3&quot; |Πλατφόρμα δημιουργίας 3D γραφικών<br /> | rowspan=&quot;3&quot; |Autodesk 3ds Max<br /> |Blender<br /> |https://www.blender.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |K-3D<br /> |https://www.k-3d.org/&lt;br&gt;<br /> |Linux, Microsoft Windows, Mac OS X, FreeBSD<br /> |-<br /> |Art of Illusion<br /> |https://www.artofillusion.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;4&quot; |4<br /> | rowspan=&quot;4&quot; |Σχεδίαση Ιστοσελίδων<br /> | rowspan=&quot;4&quot; |Adobe Dreamweaver<br /> |KompoZer<br /> |https://kompozer.net/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Bluefish<br /> |https://bluefish.openoffice.nl/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |Brackets<br /> |https://brackets.io/&lt;br&gt;<br /> |OS Independent<br /> |-<br /> |Atom<br /> |https://atom.io/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |5<br /> | rowspan=&quot;2&quot; |Εξυπηρετητής βάσης δεδομένων<br /> | rowspan=&quot;2&quot; |Microsoft SQL Server<br /> |MySQL Server <br /> |https://www.mysql.com/ &lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |PostgreSQL<br /> |https://www.postgresql.org/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |6<br /> | rowspan=&quot;2&quot; |Εξυπηρετητής Διαδικτύου<br /> | rowspan=&quot;2&quot; |Microsoft IIS<br /> |Apache Web Server<br /> |https://httpd.apache.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Nginx<br /> |https://www.nginx.com/<br /> |Linux, FreeBSD<br /> |-<br /> |7<br /> |Λογισμικό για δημιουργία vector graphics<br /> |Corel Draw X3<br /> |InkScape<br /> |https://www.inkscape.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |8<br /> |Περιβάλλον επιστημονικών κ΄μαθηματικών υπολογισμών<br /> |Mathematica<br /> |Sage<br /> |https://www.sagemath.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;2&quot; |9<br /> | rowspan=&quot;2&quot; |Περιβάλλον μαθηματικών υπολογισμών<br /> | rowspan=&quot;2&quot; |Mathworks Matlab<br /> |GNU Octave<br /> |[https://www.gnu.org/software/octave/https://www.scilab.org/ https://www.gnu.org/software/octave/]&lt;br&gt;<br /> | rowspan=&quot;2&quot; |Windows, Linux, Mac OS X<br /> |-<br /> |SciLab<br /> |[https://www.gnu.org/software/octave/https://www.scilab.org/ https://www.scilab.org/]<br /> |-<br /> |10<br /> |Προσομοιωτής κίνησης δικτύου<br /> |OPNET<br /> |Ns-3<br /> |https://www.nsnam.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |11<br /> |Εφαρμογή σχεδίασης<br /> |Adobe Illustrator<br /> |Skencil<br /> |https://www.skencil.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;6&quot; |12<br /> | rowspan=&quot;6&quot; |Εφαρμογή επεξεργασίας video<br /> | rowspan=&quot;6&quot; |Adobe Premier<br /> |KdenliveVirtualdub<br /> |https://kdenlive.org/&lt;br&gt;<br /> |FreeBSD, Linux, Mac OS X<br /> |-<br /> |Cinerrella<br /> |https://cinelerra.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Kino<br /> |https://kinodv.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Avidemux<br /> |https://www.avidemux.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |VideoLAN Movie Creator<br /> |https://www.videolan.org/vlmc/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Blender<br /> |https://www.blender.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |13<br /> |Δημιουργία γραφικών flash<br /> |Adobe Flash<br /> |F4LSwftools<br /> |https://f4l.sourceforge.net/https://swftools.org/&lt;br&gt;<br /> |Linux, Windows<br /> |-<br /> | rowspan=&quot;2&quot; |14<br /> | rowspan=&quot;2&quot; |Σχεδιαστικό πακέτο<br /> | rowspan=&quot;2&quot; |Microsoft Visio<br /> |Dia<br /> |https://projects.gnome.org/dia/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Libreoffice Draw<br /> |https://www.libreoffice.org/discover/draw/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |15<br /> | rowspan=&quot;2&quot; |Εφαρμογή διαμόρφωσης του σκληρού δίσκου<br /> | rowspan=&quot;2&quot; |Partition Magic<br /> |gparted <br /> |https://gparted.sourceforge.net/ &lt;br&gt;<br /> | rowspan=&quot;2&quot; |Linux<br /> |-<br /> |qtparted<br /> |https://qtparted.sourceforge.net/<br /> |-<br /> |16<br /> |Ανάλυση γεωγραφικών δεδομένων (G.I.S.)<br /> |ESRI ArcGIS<br /> |GRASS GIS QGIS<br /> |https://grass.osgeo.org/ https://www.qgis.org/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> |17<br /> |Διαχείριση εκπαιδευτικού περιεχομένου<br /> |Βlackboard<br /> |Moodle e-Class eFront<br /> |https://moodle.org https://www.openeclass.org/ &lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |18<br /> | rowspan=&quot;2&quot; |Εφαρμογή διαχείρισης έργων<br /> | rowspan=&quot;2&quot; |Microsoft Project<br /> |Open Workbench<br /> |[https://www.openworkbench.org/https://www.projectlibre.org/https://2-plan.com/ https://www.openworkbench.org/]<br /> | rowspan=&quot;2&quot; |Windows, Linux, Mac OS X<br /> |-<br /> |ProjectLibre<br /> |[https://www.openworkbench.org/https://www.projectlibre.org/https://2-plan.com/ https://www.projectlibre.org/]<br /> |-<br /> | rowspan=&quot;4&quot; |19<br /> | rowspan=&quot;4&quot; |Περιβάλλον σχεδίασης CAD<br /> | rowspan=&quot;4&quot; |AutoCAD<br /> |Archimedes<br /> |https://www.codeplex.com/archimedes&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |FreeCAD<br /> |https://freecadweb.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |LibreCAD<br /> |https://librecad.org/cms/home.html&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |<br /> |<br /> |<br /> |-<br /> |20<br /> |Οπτική αναγνώριση κειμένου<br /> |FineReader<br /> |Kooka<br /> |https://kooka.kde.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |21<br /> |Εργαλείο αποσφαλμάτωσης κώδικα<br /> |Rational Purify<br /> |Valgrind<br /> |https://valgrind.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |22<br /> |Ασφαλείς συναλλαγές<br /> |Authorize.net<br /> |OpenSSL<br /> |https://www.openssl.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;2&quot; |23<br /> | rowspan=&quot;2&quot; |Διαχείριση οικιακών οικονομικών<br /> | rowspan=&quot;2&quot; |Microsoft Money<br /> |HomeBank <br /> |https://homebank.free.fr/ &lt;br&gt;<br /> | rowspan=&quot;2&quot; |Windows, Linux<br /> |-<br /> |turboCash<br /> |https://www.turbocashuk.com/<br /> |-<br /> |24<br /> |Εξυπηρετητής εφαρμογών<br /> |Oracle WebLogic Server<br /> |JBoss Tomcat<br /> |https://www.jboss.org/jbossas/ https://tomcat.apache.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |25<br /> |Εξομοιωτής αστρονομία<br /> |Starry Night<br /> |Celestia<br /> |https://shatters.net/celestia/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |26<br /> |Μεταγλωττιστής c/c++<br /> |Visual C compiler<br /> |Gcc<br /> |https://gcc.gnu.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |27<br /> |Συνεργατικά εργαλεία διαχείρισης projects<br /> |SourceForge<br /> |GForge<br /> |https://gforge.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |28<br /> |Ανάλυση κίνησης δικτύου<br /> |Microsoft Network Monitor<br /> |Wireshark<br /> |https://www.wireshark.org/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> | rowspan=&quot;4&quot; |29<br /> | rowspan=&quot;4&quot; |Διαχείριση εκδόσεων λογισμικού<br /> | rowspan=&quot;3&quot; |Perforce<br /> |Subversion<br /> |https://subversion.tigris.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Git<br /> |https://git-scm.com/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |TortoiseSVN<br /> |https://tortoisesvn.tigris.org/&lt;br&gt;<br /> |Windows<br /> |-<br /> | <br /> | <br /> | <br /> | <br /> |-<br /> |30<br /> |Στατιστική Ανάλυση<br /> |SPSS<br /> |GNU PSPP R – Project<br /> |https://www.gnu.org/software/pspp/ https://www.r-project.org&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |31<br /> |Desktop Publishing<br /> |Microsoft Publisher<br /> |Scribus<br /> |https://www.scribus.net/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;3&quot; |32<br /> | rowspan=&quot;3&quot; |Ανάκτηση δεδομένων<br /> | rowspan=&quot;3&quot; | <br /> |Photorec<br /> |https://www.cgsecurity.org/wiki/PhotoRec&lt;br&gt;<br /> | rowspan=&quot;3&quot; |Windows, Linux, Mac OS XLinux<br /> |-<br /> |TestDisc<br /> |[https://www.cgsecurity.org/wiki/TestDiskhttps://foremost.sourceforge.net/ https://www.cgsecurity.org/wiki/TestDisk]<br /> |-<br /> |Foremost<br /> |[https://www.cgsecurity.org/wiki/TestDiskhttps://foremost.sourceforge.net/ https://foremost.sourceforge.net/]<br /> |-<br /> |33<br /> |Mechanical computer-aided design (MCAD)<br /> |Autodesk Inventor, SolidWorks<br /> |FreeCAD<br /> |https://freecadweb.org/&lt;br&gt;<br /> |Microsoft Windows, Linux, OS X[1]<br /> |-<br /> |34<br /> |CRM<br /> | <br /> | Vtiger Suitecrm<br /> |https://sourceforge.net/projects/vtigercrm/ https://suitecrm.com/&lt;br&gt;<br /> | <br /> |-<br /> | rowspan=&quot;2&quot; |35<br /> | rowspan=&quot;2&quot; |ERP<br /> | rowspan=&quot;2&quot; | <br /> |Adempiere<br /> |<br /> |Linux, OS X, Unix, Windows<br /> |-<br /> |Dolibarr<br /> |https://www.dolibarr.gr/&lt;br&gt;<br /> |Windows, Linux, Unix, Mac OS X<br /> |-<br /> |36<br /> |Μίξη Ήχου/ Εργαλεία DJ<br /> |Traktor Scratch, Scratch Live<br /> |Mixx<br /> |https://www.mixxx.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;4&quot; |37<br /> | rowspan=&quot;4&quot; |Μουσική σύνθεση<br /> | rowspan=&quot;4&quot; |DrumCore , FL Studio, Finale, GuitarPro<br /> |Hydrogen<br /> |https://www.hydrogen-music.org/&lt;br&gt;<br /> |Windows, Linux, OS X.<br /> |-<br /> |Linux MultiMedia Studio<br /> |https://lmms.sourceforge.net/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> |MuseScore<br /> |https://musescore.org/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |TuxGuitar<br /> |https://www.tuxguitar.com.ar/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> | rowspan=&quot;3&quot; |38<br /> | rowspan=&quot;3&quot; |Σύλληψη βίντεο οθόνης (screen video capture)<br /> | rowspan=&quot;3&quot; |Camtasia<br /> |CamStudio<br /> |https://camstudio.org/&lt;br&gt;<br /> |Windows<br /> |-<br /> |Krut Computer Recorder<br /> |https://krut.sourceforge.net/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |Webinaria<br /> |https://www.webinaria.com/index.php&lt;br&gt;<br /> |Windows, Linux OS X<br /> |}<br /> <br /> ----<br /> <br /> === Επιπλέον πληροφορίες για το ανοιχτό λογισμικό στην [https://el.wikipedia.org/wiki/%CE%91%CE%BD%CE%BF%CE%B9%CE%BA%CF%84%CF%8C%CF%82_%CE%9A%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1%CF%82 wikipedia], μπορείτε να βελτιώσετε [https://el.wikipedia.org/wiki/%CE%91%CE%BD%CE%BF%CE%B9%CE%BA%CF%84%CF%8C%CF%82_%CE%9A%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1%CF%82 αυτό] το άρθρο στα Ελληνικά αξιοποιώντας το [https://en.wikipedia.org/wiki/Open_source αντίστοιχο] στα Αγγλικά. ===<br /> <br /> == [https://directory.fsf.org/wiki/Main_Page The Free Software Directory, is a catalog of useful software] ==<br /> == [https://www.openhub.net/ Discover, Track and Compare Open Source Projects] ==<br /> <br /> ----<br /> <br /> [[Κατηγορία:ΕΛΛΑΚ]]<br /> [[Κατηγορία:Μελέτες]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%A0%CE%AF%CE%BD%CE%B1%CE%BA%CE%B1%CF%82_%CE%B9%CF%83%CE%BF%CE%B4%CF%8D%CE%BD%CE%B1%CE%BC%CF%89%CE%BD_%CE%BB%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1&diff=2463 2025-11-05T12:03:07Z

<p>Pkst: </p> <hr /> <div>=== &lt;strong&gt;Τα βασικά κριτήρια επιλογής ανοιχτού λογισμικού είναι τα παρακάτω&lt;/strong&gt;: ===<br /> 1. η &lt;strong&gt;καταλληλότητα&lt;/strong&gt; για τις ανάγκες της επιχείρησης/οργανισμού,<br /> <br /> 2. ο &lt;strong&gt;αριθμός των ενεργών μελών&lt;/strong&gt; της κοινότητας (προγραμματιστών/developers) που το αναπτύσσουν,<br /> <br /> 3. η &lt;strong&gt;άδεια χρήσης&lt;/strong&gt; (Διαθέσιμες Άδειες-https://www.opensource.org/licenses),<br /> <br /> 4. &lt;strong&gt;η<br /> &lt;nowiki&gt; &lt;/nowiki&gt;ύπαρξη στελεχών που είναι σε θέση να αναλάβουν την υποστήριξη του <br /> λογισμικού εσωτερικά στην επιχείρηση/οργανισμό ή εναλλακτικά η επιλογή εξωτερικών συνεργατών ή τοπικής εταιρείας πληροφορικής με τεχνογνωσία και εμπειρία στην υποστήριξη του επιλεγμένου λογισμικού, &lt;/strong&gt;<br /> <br /> &lt;strong&gt;5. η διάθεση πόρων σε συνεργασία με την αντίστοιχη κοινότητα<br /> &lt;nowiki&gt; &lt;/nowiki&gt;για να υποστηριχθεί και να επεκταθεί το λογισμικό που επιλέξατε, οι <br /> κοινότητες που αναπτύσσουν και υποστηρίζουν το ανοιχτό λογισμικό είναι <br /> “ανοιχτοί” συνεταιρισμοί που βασίζονται στην ενεργή υποστήριξη όλων των <br /> ωφελουμένων.&lt;/strong&gt; <br /> <br /> <br /> == Προτεινόμενο Λογισμικό ==<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;width:30%; text-align:center; background:#ececec;&quot; | Περιγραφή<br /> ! style=&quot;width:20%; text-align:center; background:#ececec;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;width:20%; text-align:center; background:#ececec;&quot; | ΕΛ-ΛΑΚ<br /> ! style=&quot;width:30%; text-align:center; background:#ececec;&quot; | Ιστοσελίδα<br /> |-<br /> | Περιηγητής ιστού<br /> | Edge, Safari<br /> | '''Firefox'''<br /> | [https://www.mozilla.org/en-US/firefox/ Mozilla Firefox]<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | '''LibreOffice'''<br /> | [https://eo.libreoffice.org/ LibreOffice]&lt;br /&gt;[https://elearn.ellak.gr/course/view.php?id=62 '''Χρήση του Libre Office''']<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | '''Mozilla Thunderbird'''<br /> | [https://www.thunderbird.net/en-US/ Thunderbird]<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων, Τηλεφωνία μέσω internet<br /> | Slack, Discord, Facebook Messenger<br /> | '''Signal'''<br /> | [https://www.signal.org/ Signal]<br /> |-<br /> | Ανώνυμη περιήγηση<br /> | Opera<br /> | '''Tor Browser'''<br /> | [https://www.torproject.org/download/ Tor Project]<br /> |-<br /> | Λειτουργικό Σύστημα<br /> | Microsoft Windows, Mac OS<br /> | '''Ubuntu'''<br /> | [https://ubuntu-gr.org/ Ubuntu GR]<br /> |-<br /> | Προγραμματισμός συναντήσεων ομάδων/εργαζομένων<br /> | Doodle, Calendly<br /> | '''Framadate'''<br /> | [https://framadate.org/abc/en/ Framadate]<br /> |}<br /> <br /> <br /> = 🖥️ Εργαλεία Γραφείου =<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | Thunderbird<br /> | https://www.thunderbird.net/en-US/<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | Evolution<br /> | https://projects.gnome.org/evolution/<br /> |-<br /> | Εφαρμογή ηλεκτρονικού ταχυδρομείου<br /> | Microsoft Outlook Express<br /> | K-9 Mail<br /> | https://k9mail.github.io/<br /> |-<br /> | Προστασία από ιούς<br /> | McAfee VirusScan<br /> | ClamWin<br /> | https://www.clamwin.com/<br /> |-<br /> | Προστασία από ιούς<br /> | McAfee VirusScan<br /> | Lynis<br /> | https://cisofy.com/lynis/<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | gedit<br /> | https://projects.gnome.org/gedit<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | NotePad++<br /> | https://notepad-plus-plus.org/<br /> |-<br /> | Απλός επεξεργαστής κειμένου<br /> | Microsoft Notepad<br /> | kedit<br /> | https://kate-editor.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Code::Blocks (C, C++ and Fortran)<br /> | https://www.codeblocks.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Dev-C++ (C και C++)<br /> | https://www.bloodshed.net/devcpp.html<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Mono (Microsoft .NET Framework, ECMA standards C#)<br /> | https://www.mono-project.com/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Ultimate++ (C++)<br /> | https://www.ultimatepp.org/<br /> |-<br /> | Εφαρμογή διαχείρισης αρχείων<br /> | Total Commander<br /> | GNOME Commander<br /> | https://gcmd.github.io/<br /> |-<br /> | Δημιουργία αντιγράφων ασφαλείας και ανάκτηση δεδομένων<br /> | Norton Ghost<br /> | PartitionImage<br /> | https://www.partimage.org/<br /> |-<br /> | Συμπίεση/αποσυμπίεση αρχείων<br /> | WinZip<br /> | 7-Zip<br /> | https://www.7-zip.org/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Kontact<br /> | https://kontact.org/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Thunderbird<br /> | https://www.thunderbird.net/en-US/<br /> |-<br /> | Πρόγραμμα οργάνωσης συναντήσεων<br /> | Windows Calendar<br /> | Evolution<br /> | https://projects.gnome.org/evolution/<br /> |-<br /> | Ανάγνωση αρχείων PS<br /> | Adobe PostScript<br /> | Ghostscript<br /> | http://pages.cs.wisc.edu/~ghost/<br /> |-<br /> | Ανάγνωση αρχείων PS<br /> | Adobe PostScript<br /> | KGhostview<br /> | http://pages.cs.wisc.edu/~ghost/<br /> |-<br /> | Αυτόματη μετάφραση σε Python, με χρήση νευρωνικών δικτύων<br /> |<br /> | Argos Translate<br /> | https://www.argosopentech.com/<br /> |-<br /> | Ελεύθερο API μηχανικής μετάφρασης, self-hosted, χωρίς περιορισμούς όγκου<br /> |<br /> | LibreTranslate<br /> | https://libretranslate.com/<br /> |-<br /> | Searx – μηχανή μετα-αναζήτησης που σέβεται την ιδιωτικότητα, βασισμένη στον διαμεσολαβητή Seeks<br /> |<br /> | Searx<br /> | https://github.com/asciimoo/searx/wiki/<br /> |-<br /> | Προγραμματισμός συναντήσεων ομάδων/εργαζομένων<br /> | Doodle, Calendly<br /> | Framadate<br /> | https://framadate.org/abc/en/<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | LibreOffice<br /> | https://eo.libreoffice.org/<br /> |-<br /> | Πακέτο εφαρμογών γραφείου<br /> | Microsoft Office<br /> | OpenOffice<br /> | https://www.openoffice.org/el/<br /> |-<br /> | Αναγνώστης αρχείων PDF<br /> | Adobe PDF Reader<br /> | Evince<br /> | https://wiki.gnome.org/Apps/Evince<br /> |-<br /> | Αναγνώστης αρχείων PDF<br /> | Adobe PDF Reader<br /> | KDE (KPDF)<br /> | https://kpdf.kde.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Eclipse<br /> | https://www.eclipse.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | NetBeans<br /> | https://netbeans.apache.org/<br /> |-<br /> | Περιβάλλον ανάπτυξης κώδικα<br /> | Microsoft Visual Studio<br /> | Geany<br /> | https://www.geany.org/<br /> |-<br /> | Ολοκλήρωση – Integration<br /> | Zapier<br /> | Huginn<br /> | https://github.com/huginn/huginn<br /> |-<br /> | Ολοκλήρωση – Integration<br /> | Zapier<br /> | n8n<br /> | https://n8n.io<br /> |}<br /> <br /> ----<br /> = 📰 Ιστολόγια και Μέσα Δικτύωσης =<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Λογισμικό διακομιστή microblogging που ακολουθεί το πρότυπο ActivityPub, υποστηρίζει προειδοποιήσεις περιεχομένου και ιδιωτικά μηνύματα<br /> |<br /> | Mastodon<br /> | https://joinmastodon.org<br /> |-<br /> | Λογισμικό διακομιστή ιστολογίου (blogging) που χρησιμοποιεί το πρότυπο Activity Streams<br /> |<br /> | Pump.io<br /> | http://pump.io<br /> |-<br /> | Αποκεντρωμένη πλατφόρμα microblogging P2P<br /> |<br /> | Twister<br /> | http://twister.net.co/<br /> |-<br /> | Μια μινιμαλιστική πλατφόρμα δημοσίευσης, φτιαγμένη για συγγραφείς<br /> |<br /> | WriteFreely<br /> | https://writefreely.org/<br /> |}<br /> <br /> ----<br /> <br /> = 💬 Ανταλλαγή Μηνυμάτων, Τηλεφωνία και Βιντεοκλήσεις =<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:100%; border:2px solid #aaa; border-collapse:collapse; background:#f9f9f9;&quot;<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Περιγραφή<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Εμπορικό Ισοδύναμο<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | ΕΛ/ΛΑΚ<br /> ! style=&quot;background:#ececec; text-align:center;&quot; | Ιστοσελίδα<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Empathy<br /> | https://live.gnome.org/Empathy<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Kopete<br /> | https://apps.kde.org/kopete/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Pidgin<br /> | https://www.pidgin.im/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Telegram<br /> | https://telegram.org/<br /> |-<br /> | Αποστολέας στιγμιαίων μηνυμάτων<br /> | Facebook Messenger<br /> | Signal<br /> | https://www.signal.org/<br /> |-<br /> | Εργαλείο ηλεκτρονικής συνδιάλεξης<br /> | mIRC<br /> | HexChat<br /> | https://hexchat.github.io/downloads.html<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Ekiga<br /> | https://www.ekiga.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Empathy<br /> | https://wiki.gnome.org/Apps/Empathy<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Linphone<br /> | https://www.linphone.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Telegram<br /> | https://telegram.org/<br /> |-<br /> | Τηλεφωνία μέσω Internet – VoIP<br /> | Skype<br /> | Signal<br /> | https://www.signal.org/<br /> |-<br /> | Εξυπηρετητής τηλεφωνίας<br /> |<br /> | Bayonne<br /> | https://www.gnu.org/software/bayonne/<br /> |-<br /> | Υπηρεσίες φωνής (VoIP) και τηλεδιάσκεψης<br /> |<br /> | Ekiga<br /> | http://www.ekiga.org/<br /> |-<br /> | Πρόγραμμα ανταλλαγής μηνυμάτων που υποστηρίζει συνομιλίες κειμένου, φωνής και βίντεο και μεταφορές αρχείων μέσω πολλών διαφορετικών πρωτοκόλλων<br /> |<br /> | Empathy<br /> | https://wiki.gnome.org/Apps/Empathy<br /> |-<br /> | Πρόγραμμα τηλεπικοινωνιών GNU<br /> |<br /> | Gnucomm<br /> | https://www.gnu.org/software/gnucomm/<br /> |-<br /> | Κατανεμημένη και κρυπτογραφημένη επικοινωνία ήχου/βίντεο/κειμένου<br /> |<br /> | Jami<br /> | https://www.gnu.org/software/jami/<br /> |-<br /> | Λύση τηλεφωνίας μέσω του Session Initiation Protocol (SIP)<br /> |<br /> | Linphone<br /> | https://www.linphone.org<br /> |-<br /> | Λογισμικό διακομιστή ανταλλαγής μηνυμάτων Synapse: Matrix<br /> |<br /> | Matrix-synapse<br /> | https://matrix.org/<br /> |-<br /> | Ασφαλής αποκεντρωμένη πλατφόρμα ανταλλαγής μηνυμάτων με κρυπτογράφηση e2e<br /> |<br /> | Pica Pica Messenger<br /> | https://picapica.im/?page_id=192&amp;lang=en<br /> |-<br /> | Πρόσθετο Pidgin για κρυφές συνομιλίες<br /> |<br /> | Pidgin-otr<br /> | https://otr.cypherpunks.ca<br /> |-<br /> | Client για το Bitmessage<br /> |<br /> | PyBitmessage<br /> | https://github.com/Bitmessage/PyBitmessage<br /> |-<br /> | Αποκεντρωμένη ανταλλαγή μηνυμάτων μέσω του δικτύου Tor<br /> |<br /> | Ricochet<br /> | https://github.com/ricochet-im/Ricochet<br /> |-<br /> | Εξυπηρετητής τηλεφωνικών κλήσεων γραφείου με βάση το Session Initiation Protocol (SIP)<br /> |<br /> | Sipwitch<br /> | https://www.gnu.org/software/sipwitch/<br /> |-<br /> | Τηλεφωνία μέσω SIP/VoIP<br /> |<br /> | Twinkle<br /> | http://www.xs4all.nl/~mfnboer/twinkle/home.html<br /> |-<br /> | Συλλογή scripts για τον WeeChat IRC client<br /> |<br /> | Weechat-scripts<br /> | https://weechat.org/scripts<br /> |-<br /> | Εργαλείο επικοινωνίας που σέβεται την ιδιωτικότητα<br /> |<br /> | Wire<br /> | https://wire.com/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Rocket.Chat<br /> | https://rocket.chat/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Mattermost<br /> | https://mattermost.com<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Zulip<br /> | https://zulip.com/<br /> |-<br /> | Ενδοεταιρική Επικοινωνία<br /> | Slack<br /> | Element<br /> | https://element.io/<br /> |}<br /> &lt;/div&gt;<br /> &lt;div id=&quot;πολυμέσα-επεξεργασία-διαχείριση-αναπαραγωγή&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Πολυμέσα: Επεξεργασία, διαχείριση, αναπαραγωγή =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | Rhythmbox<br /> | https://projects.gnome.org/rhythmbox/<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | Amarok<br /> | https://amarok.kde.org/<br /> |-<br /> | Αναπαραγωγέας αρχείων μουσικής<br /> | Apple iTunes<br /> | DeaDBeeF<br /> | http://deadbeef.sourceforge.net/<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Gimp<br /> | https://www.gimp.org/<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Pinta<br /> | https://pinta-project.com/download.ashx<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Krita<br /> | https://www.krita.org/download<br /> |-<br /> | Περιβάλλον επεξεργασίας εικόνων<br /> | Adobe Photoshop, MS Paint, Corel Painter<br /> | Inkscape<br /> | https://inkscape.org/<br /> |-<br /> | Εφαρμογή επεξεργασίας ήχου<br /> | Adobe Audition, Logic<br /> | Audacity<br /> | https://audacity.sourceforge.net<br /> |-<br /> | Εφαρμογή επεξεργασίας ήχου<br /> | Adobe Audition, Logic<br /> | Ardour<br /> | https://ardour.org/<br /> |-<br /> | Περιβάλλον εγγραφής οπτικών μέσων<br /> | Nero Burning Rom<br /> | Brasero<br /> | https://www.gnome.org/projects/brasero/<br /> |-<br /> | Περιβάλλον εγγραφής οπτικών μέσων<br /> | Nero Burning Rom<br /> | K3b<br /> | https://userbase.kde.org/K3b<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | VLC<br /> | https://www.videolan.org/vlc/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | XBMC Media Center<br /> | https://xbmc.org/about/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Miro<br /> | https://www.getmiro.com/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Banshee<br /> | http://www.banshee-project.org/<br /> |-<br /> | Εφαρμογή αναπαραγωγής- Διαχείρισης πολυμέσων<br /> | Winamp, Windows Media Player, RealPlayer, QuickTime<br /> | Audacious<br /> | https://audacious-media-player.org/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Data<br /> | https://www.datacrow.net/<br /> |-<br /> | Αποκωδικοποίηση και αντιγραφή DVD<br /> | DVDShrink<br /> | k9copy<br /> | https://k9copy.sourceforge.net/<br /> |-<br /> | Παρακολούθηση τηλεόρασης μέσω υπολογιστή<br /> | WinTV<br /> | tvtime<br /> | https://tvtime.sourceforge.net/<br /> |-<br /> | Παρακολούθηση τηλεόρασης μέσω υπολογιστή<br /> | WinTV<br /> | MythTV<br /> | https://www.mythtv.org/<br /> |-<br /> | Κωδικοποιητές video<br /> | DivX<br /> | xvid<br /> | https://labs.xvid.com/<br /> |-<br /> | Συμπίεση/αποσυμπίεση αρχείων video<br /> |<br /> | Theora<br /> | https://www.theora.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | GTKPod<br /> | https://github.com/trinitonesounds/gtkpod<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Banshee<br /> | https://banshee-project.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Amarok<br /> | https://amarok.kde.org/<br /> |-<br /> | Σύνδεση με iPod<br /> | iTunes<br /> | Rhythmbox<br /> | https://projects.gnome.org/rhythmbox/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Data Crow<br /> | https://www.datacrow.net/<br /> |-<br /> | Εφαρμογές ταξινόμησης πολυμέσων<br /> | MediaMan<br /> | Wwidd<br /> | https://github.com/wwidd/wwidd<br /> |-<br /> | Διαχείριση εικόνων<br /> | ACDSee<br /> | EOG<br /> | https://gitlab.gnome.org/GNOME/eog<br /> |-<br /> | Διαχείριση εικόνων<br /> | ACDSee<br /> | Shotwell<br /> | https://wiki.gnome.org/Apps/Shotwell<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> &lt;div id=&quot;διαμοιρασμών-αρχείων-και-πολυμέσων&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Διαμοιρασμών αρχείων και πολυμέσων =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | Filezilla<br /> | https://filezilla-project.org/<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | gFTP<br /> | https://github.com/masneyb/gftp<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων μέσω ftp<br /> | CuteFTP<br /> | WinSCP<br /> | https://winscp.net/eng/index.php<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων torrent<br /> | uTorrent<br /> | Transmission<br /> | https://www.transmissionbt.com/<br /> |-<br /> | Εφαρμογή ανταλλαγής αρχείων torrent<br /> | uTorrent<br /> | qBittorent<br /> | https://www.qbittorrent.org/<br /> |-<br /> | Peer to peer ανταλλαγή αρχείων<br /> | eMule<br /> | Gnutella<br /> | https://sourceforge.net/projects/gtk-gnutella/<br /> |-<br /> | Λογισμικό διακομιστή για διαμοιρασμό πολυμέσων.<br /> |<br /> | Mediagoblin<br /> | https://mediagoblin.org/<br /> |-<br /> | Το OnionShare είναι ένα δωρεάν εργαλείο που σας επιτρέπει ασφαλή και ανώνυμο διαμοιρασμό αρχείων οποιουδήποτε μεγέθους.<br /> |<br /> | OnionShare<br /> | https://onionshare.org/<br /> |-<br /> | Λογισμικό διακομιστή κοινής χρήσης φωτογραφιών, που υποστηρίζεται από το ActivityPub.<br /> |<br /> | Pixelfed<br /> | https://pixelfed.org/<br /> |-<br /> | Διαμοιρασμός αρχείων μέσω BitTorrent/Internet TV που βασίζεται σε Python.<br /> |<br /> | Tribler<br /> | http://www.tribler.org/<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> &lt;div id=&quot;περιήγηση-ιδιωτικότητα-υποδομές-δικτύου-και-αποκεντρωμένα-δίκτυα&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Περιήγηση, ιδιωτικότητα, υποδομές δικτύου και αποκεντρωμένα δίκτυα =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | Chromium<br /> | https://www.chromium.org/Home<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | Mozilla Firefox<br /> | https://www.mozilla.com/el/firefox/<br /> |-<br /> | Web browser<br /> | Google Chrome, Microsoft Internet Explorer, Safari<br /> | SeaMonkey<br /> | https://www.seamonkey-project.org/<br /> |-<br /> | Anonymous Web Browser<br /> | Opera<br /> | Tor Browser<br /> | https://www.torproject.org/download/<br /> |-<br /> | Anonymous Web Browser<br /> | Opera<br /> | Firefox Focus<br /> | https://www.mozilla.org/en-US/firefox/mobile/#focus<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | Shorewall<br /> | https://shorewall.org/<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | UFW<br /> | https://help.ubuntu.com/community/UFW<br /> |-<br /> | Τείχος ασφαλείας<br /> | Norton Internet Security 2009<br /> | FirewallD<br /> | https://firewalld.org/<br /> |-<br /> | Απομακρυσμένη γραμμή εντολών<br /> | iSSH<br /> | Putty<br /> | https://www.chiark.greenend.org.uk/~sgtatham/putty/<br /> |-<br /> | Στοίβα πρωτοκόλλων RTP της GNU Common C++ και του έργου GNU.<br /> |<br /> | Ccrtp<br /> | https://www.gnu.org/software/ccrtp/<br /> |-<br /> | Ελεύθερη υλοποίηση των socks έκδοση 4, socks έκδοση 5 και msproxy.<br /> |<br /> | Dante<br /> | http://www.inet.no/dante/<br /> |-<br /> | CDN που προστατεύει την ιδιωτικότητα και εξυπηρετεί τοπικά αρχεία για απρόσκοπτη λειτουργία των ιστοτόπων. Λειτουργεί ως συμπλήρωμα στους συνήθεις αποκλειστές περιεχομένου.<br /> |<br /> | Decentraleyes<br /> | https://addons.mozilla.org/en-US/firefox/addon/decentraleyes/<br /> |-<br /> | Πρόσθετο του Firefox που τοποθετεί τη Lite (μη-JS / SSL) έκδοση του DuckDuckGo στη γραμμή αναζήτησης.<br /> |<br /> | DuckDuckGo (Lite SSL)<br /> | https://duckduckgo.com/lite/<br /> |-<br /> | Παράκαμψη του αποκλεισμού διευθύνσεων IP (nodejs proxy).<br /> |<br /> | Flashproxy<br /> | https://crypto.stanford.edu/flashproxy/<br /> |-<br /> | Διαχείριση διακομιστών μεσολάβησης για τον Firefox. Για ένα απλούστερο εργαλείο με λιγότερες επιλογές διαμόρφωσης, χρησιμοποιήστε το FoxyProxy Basic.<br /> |<br /> | FoxyProxy Standard<br /> | http://getfoxyproxy.org/<br /> |-<br /> | Ασφαλές, αποκεντρωμένο, μέσο P2P δικτύωσης.<br /> |<br /> | Gnunet<br /> | https://gnunet.org/<br /> |-<br /> | Βιβλιοθήκη που υλοποιεί το TLS 1.0 και το SSL 3.0.<br /> |<br /> | Gnutls<br /> | https://www.gnu.org/software/gnutls/<br /> |-<br /> | GNU έκδοση του προγράμματος περιήγησης Firefox.<br /> |<br /> | Gnuzilla<br /> | https://www.gnu.org/software/gnuzilla/<br /> |-<br /> | Κρυπτογραφεί την επικοινωνία του περιηγητή με πολλούς μεγάλους ιστότοπους, καθιστώντας την περιήγηση πιο ασφαλή.<br /> |<br /> | HTTPS Everywhere<br /> | https://www.eff.org/https-everywhere<br /> |-<br /> | Μέσο P2P δικτύωσης, με έμφαση στην ανωνυμία.<br /> |<br /> | I2P<br /> | https://geti2p.net/<br /> |-<br /> | Εμποδίζει την τροποποίηση του &amp;lt;canvas&amp;gt; για την αποτροπή του Canvas-Fingerprinting.&amp;lt;/canvas&amp;gt;<br /> |<br /> | IceCat/CanvasBlocker<br /> | https://addons.mozilla.org/en-US/firefox/addon/canvasblocker/<br /> |-<br /> | Το WebRTC εκθέτει τις IP(s) του εσωτερικού σας δικτύου, χωρίς την αλληλεπίδραση του χρήστη.<br /> |<br /> | IceCat/Disable WebRTC<br /> | https://addons.mozilla.org/en-US/firefox/addon/happy-bonobo-disable-webrtc/<br /> |-<br /> | Ενεργοποιεί το JavaScript μόνο για ιστότοπους που εμπιστεύεστε.<br /> |<br /> | IceCat/NoScript<br /> | https://noscript.net/<br /> |-<br /> | Διαμόρφωση των κανόνων φιλτραρίσματος πακέτων IP του Linux.<br /> |<br /> | Iptables<br /> | http://www.iptables.org/<br /> |-<br /> | Παραλλαγή του Firefox που εστιάζει στην ιδιωτικότητα, την ασφάλεια και το ελεύθερο λογισμικό.<br /> |<br /> | Librewolf<br /> | https://librewolf.net/<br /> |-<br /> | Απόκρυψη γεωγραφικής θέσης από ιστότοπους.<br /> |<br /> | Location Guard<br /> | https://github.com/chatziko/location-guard<br /> |-<br /> | Βιβλιοθήκη που υποστηρίζει το πρωτόκολλο έναρξης συνόδου (Session Initiation Protocol).<br /> |<br /> | Osip<br /> | https://www.gnu.org/software/osip/<br /> |-<br /> | Επέκταση περιηγητή που ανιχνεύει και αποτρέπει την παρακολούθηση από τρίτους<br /> |<br /> | Privacy Badger<br /> | https://www.eff.org/privacybadger<br /> |-<br /> | Διακομιστής μεσολάβησης (proxy) με αυξημένες δυνατότητες φιλτραρίσματος<br /> |<br /> | Privoxy<br /> | https://www.privoxy.org/<br /> |-<br /> | Ανώνυμος δρομολογητής δικτύου για βελτίωση του απορρήτου στο Διαδίκτυο.<br /> |<br /> | Tor<br /> | https://torproject.org<br /> |-<br /> | Περιηγητής ιστού που βασίζεται σε Firefox ESR για χρήση του δικτύου TOR.<br /> |<br /> | Tor Browser<br /> | https://www.torproject.org/projects/torbrowser.html<br /> |-<br /> | Υποστήριξη Tor για Icedove/Mozilla Thunderbird.<br /> |<br /> | TorBirdy<br /> | https://trac.torproject.org/projects/tor/wiki/torbirdy<br /> |-<br /> | Επιτρέπει σε εφαρμογές φιλικές προς το socks να χρησιμοποιούνται με το Tor.<br /> |<br /> | Torsocks<br /> | https://gitweb.torproject.org/torsocks.git<br /> |-<br /> | Αποκλειστής για μεγάλο εύρος περιεχομένων.<br /> |<br /> | UBlock Origin<br /> | https://github.com/gorhill/uBlock<br /> |-<br /> | Εύκολος έλεγχος οποιασδήποτε κατηγορία αιτημάτων από το πρόγραμμα περιήγησής σας (όπως scripts, iframes, διαφημίσεις, facebook).<br /> |<br /> | UMatrix<br /> | https://addons.mozilla.org/en-US/firefox/addon/umatrix/<br /> |-<br /> | WebSocket pluggable transport - server.<br /> |<br /> | Websocket<br /> | https://gitweb.torproject.org/pluggable-transports/websocket.git<br /> |-<br /> | Κλιμακούμενη δρομολόγηση ως κρυπτογραφημένο δίκτυο IPv6.<br /> |<br /> | Yggdrasil<br /> | https://yggdrasil-network.github.io/<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> &lt;div id=&quot;ανάπτυξη-φιλοξενία-παρακολούθηση-εφαρμογών&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Ανάπτυξη, φιλοξενία, παρακολούθηση εφαρμογών =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Matomo<br /> | https://matomo.org<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Goaccess<br /> | https://goaccess.io/<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | umami<br /> | https://umami.is<br /> |-<br /> | Data analytics<br /> | Google Analytics<br /> | Plausible-Analytics<br /> | https://plausible.io/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | InfluxDB<br /> | https://www.influxdata.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | TDengine<br /> | https://tdengine.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | TimescaleDB<br /> | https://www.timescale.com/<br /> |-<br /> | Βάσεις Δεδομένων (Χρονοσειρές)<br /> | Kdb+<br /> | QuestDB<br /> | https://questdb.io/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | Dgraph<br /> | https://dgraph.io/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | ArangoDB<br /> | https://www.arangodb.com/<br /> |-<br /> | Βάσεις Δεδομένων (Γράφοι)<br /> | Amazon Neptune<br /> | Neo4j<br /> | https://neo4j.com/<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | Netdata<br /> | https://github.com/netdata/netdata<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | Grafana<br /> | https://github.com/grafana/grafana<br /> |-<br /> | Παρακολουθησιμότητα (Observability)<br /> | Datadog<br /> | ThingsBoard<br /> | https://thingsboard.io/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | Dokku<br /> | http://dokku.viewdocs.io/dokku/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | OpenFaas<br /> | https://www.openfaas.com/<br /> |-<br /> | Φιλοξενία Εφαρμογών<br /> | Heroku<br /> | Caprover<br /> | https://CapRover.com<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> &lt;div id=&quot;κρυπτογραφία&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Κρυπτογραφία =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Σύστημα κρυπτογράφησης αρχείων.<br /> |<br /> | Ecryptfs-utils<br /> | https://launchpad.net/ecryptfs<br /> |-<br /> | Υποστήριξη GPG για το Thunderbird/Icedove.<br /> |<br /> | Enigmail<br /> | http://www.enigmail.net/home/index.php<br /> |-<br /> | Εργαλεία κρυπτογραφίας Java.<br /> |<br /> | Gnu-crypto<br /> | https://www.gnu.org/software/gnu-crypto/<br /> |-<br /> | Υλοποίηση του προτύπου OpenPGP για το Διαδίκτυο.<br /> |<br /> | Gnupg<br /> | https://gnupg.org/<br /> |-<br /> | Γραφική διεπαφή χρήστη για το GNU Privacy Guard (GnuPG).<br /> |<br /> | Gpa<br /> | http://www.gnupg.org/gpa.html<br /> |-<br /> | Βιβλιοθήκη κρυπτογραφίας.<br /> |<br /> | Libgcrypt<br /> | https://gnupg.org/software/libgcrypt/<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> &lt;div id=&quot;άλλα&quot; class=&quot;section level1&quot;&gt;<br /> <br /> = Άλλα =<br /> <br /> {|<br /> ! Περιγραφή<br /> ! Εμπορικό Ισοδύναμο<br /> ! ΕΛ-ΛΑΚ<br /> ! Ιστοσελίδα<br /> |-<br /> | Μια γλώσσα προγραμματισμού για μαθητές και καθηγητές<br /> |<br /> | EDUBlocks<br /> | https://edublocks.org/<br /> |-<br /> | Εικονικός προσωπικός βοηθός<br /> |<br /> | Leon<br /> | https://getleon.ai/<br /> |-<br /> | Ανοιχτού κώδικα λογισμικό για τη συγκέντρωση πληροφοριών (OSINT)<br /> |<br /> | Maryam<br /> | https://github.com/saeeddhqan/Maryam<br /> |-<br /> | Εικονικός προσωπικός βοηθός.<br /> |<br /> | Mycroft<br /> | https://mycroft.ai/<br /> |-<br /> | Ανοιχτού κώδικα λογισμικό διαχείρισης ανθρώπινου δυναμικού (human resources).<br /> |<br /> | Open HRMS Software<br /> | https://www.openhrms.com/<br /> |}<br /> <br /> <br /> &lt;/div&gt;<br /> <br /> === Λογισμικό προχωρημένης χρήσης (advanced) ===<br /> {| class=&quot;mce-item-table&quot;<br /> ! <br /> !Περιγραφή<br /> !Εμπορικό<br /> !Προϊόν ΕΛΛΑΚ<br /> !Ιστοσελίδα<br /> !Πλατφόρμα<br /> |-<br /> |1<br /> |Εξαγωγέας pdf αρχείων<br /> |Adobe Acrobat Professional<br /> |PDFCreator<br /> |https://sourceforge.net/project/showfiles.php?group_id=57796&lt;br&gt;<br /> |Windows<br /> |-<br /> |2<br /> |Απομακρυσμένη διαχείριση επιφάνειας εργασίας<br /> |Microsoft Remote Desktop<br /> |Tight VNC<br /> |https://www.tightvnc.com&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> | rowspan=&quot;3&quot; |3<br /> | rowspan=&quot;3&quot; |Πλατφόρμα δημιουργίας 3D γραφικών<br /> | rowspan=&quot;3&quot; |Autodesk 3ds Max<br /> |Blender<br /> |https://www.blender.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |K-3D<br /> |https://www.k-3d.org/&lt;br&gt;<br /> |Linux, Microsoft Windows, Mac OS X, FreeBSD<br /> |-<br /> |Art of Illusion<br /> |https://www.artofillusion.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;4&quot; |4<br /> | rowspan=&quot;4&quot; |Σχεδίαση Ιστοσελίδων<br /> | rowspan=&quot;4&quot; |Adobe Dreamweaver<br /> |KompoZer<br /> |https://kompozer.net/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Bluefish<br /> |https://bluefish.openoffice.nl/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |Brackets<br /> |https://brackets.io/&lt;br&gt;<br /> |OS Independent<br /> |-<br /> |Atom<br /> |https://atom.io/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |5<br /> | rowspan=&quot;2&quot; |Εξυπηρετητής βάσης δεδομένων<br /> | rowspan=&quot;2&quot; |Microsoft SQL Server<br /> |MySQL Server <br /> |https://www.mysql.com/ &lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |PostgreSQL<br /> |https://www.postgresql.org/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |6<br /> | rowspan=&quot;2&quot; |Εξυπηρετητής Διαδικτύου<br /> | rowspan=&quot;2&quot; |Microsoft IIS<br /> |Apache Web Server<br /> |https://httpd.apache.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Nginx<br /> |https://www.nginx.com/<br /> |Linux, FreeBSD<br /> |-<br /> |7<br /> |Λογισμικό για δημιουργία vector graphics<br /> |Corel Draw X3<br /> |InkScape<br /> |https://www.inkscape.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |8<br /> |Περιβάλλον επιστημονικών κ΄μαθηματικών υπολογισμών<br /> |Mathematica<br /> |Sage<br /> |https://www.sagemath.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;2&quot; |9<br /> | rowspan=&quot;2&quot; |Περιβάλλον μαθηματικών υπολογισμών<br /> | rowspan=&quot;2&quot; |Mathworks Matlab<br /> |GNU Octave<br /> |[https://www.gnu.org/software/octave/https://www.scilab.org/ https://www.gnu.org/software/octave/]&lt;br&gt;<br /> | rowspan=&quot;2&quot; |Windows, Linux, Mac OS X<br /> |-<br /> |SciLab<br /> |[https://www.gnu.org/software/octave/https://www.scilab.org/ https://www.scilab.org/]<br /> |-<br /> |10<br /> |Προσομοιωτής κίνησης δικτύου<br /> |OPNET<br /> |Ns-3<br /> |https://www.nsnam.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |11<br /> |Εφαρμογή σχεδίασης<br /> |Adobe Illustrator<br /> |Skencil<br /> |https://www.skencil.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;6&quot; |12<br /> | rowspan=&quot;6&quot; |Εφαρμογή επεξεργασίας video<br /> | rowspan=&quot;6&quot; |Adobe Premier<br /> |KdenliveVirtualdub<br /> |https://kdenlive.org/&lt;br&gt;<br /> |FreeBSD, Linux, Mac OS X<br /> |-<br /> |Cinerrella<br /> |https://cinelerra.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Kino<br /> |https://kinodv.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Avidemux<br /> |https://www.avidemux.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |VideoLAN Movie Creator<br /> |https://www.videolan.org/vlmc/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Blender<br /> |https://www.blender.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |13<br /> |Δημιουργία γραφικών flash<br /> |Adobe Flash<br /> |F4LSwftools<br /> |https://f4l.sourceforge.net/https://swftools.org/&lt;br&gt;<br /> |Linux, Windows<br /> |-<br /> | rowspan=&quot;2&quot; |14<br /> | rowspan=&quot;2&quot; |Σχεδιαστικό πακέτο<br /> | rowspan=&quot;2&quot; |Microsoft Visio<br /> |Dia<br /> |https://projects.gnome.org/dia/&lt;br&gt;<br /> |Linux<br /> |-<br /> |Libreoffice Draw<br /> |https://www.libreoffice.org/discover/draw/<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |15<br /> | rowspan=&quot;2&quot; |Εφαρμογή διαμόρφωσης του σκληρού δίσκου<br /> | rowspan=&quot;2&quot; |Partition Magic<br /> |gparted <br /> |https://gparted.sourceforge.net/ &lt;br&gt;<br /> | rowspan=&quot;2&quot; |Linux<br /> |-<br /> |qtparted<br /> |https://qtparted.sourceforge.net/<br /> |-<br /> |16<br /> |Ανάλυση γεωγραφικών δεδομένων (G.I.S.)<br /> |ESRI ArcGIS<br /> |GRASS GIS QGIS<br /> |https://grass.osgeo.org/ https://www.qgis.org/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> |17<br /> |Διαχείριση εκπαιδευτικού περιεχομένου<br /> |Βlackboard<br /> |Moodle e-Class eFront<br /> |https://moodle.org https://www.openeclass.org/ &lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;2&quot; |18<br /> | rowspan=&quot;2&quot; |Εφαρμογή διαχείρισης έργων<br /> | rowspan=&quot;2&quot; |Microsoft Project<br /> |Open Workbench<br /> |[https://www.openworkbench.org/https://www.projectlibre.org/https://2-plan.com/ https://www.openworkbench.org/]<br /> | rowspan=&quot;2&quot; |Windows, Linux, Mac OS X<br /> |-<br /> |ProjectLibre<br /> |[https://www.openworkbench.org/https://www.projectlibre.org/https://2-plan.com/ https://www.projectlibre.org/]<br /> |-<br /> | rowspan=&quot;4&quot; |19<br /> | rowspan=&quot;4&quot; |Περιβάλλον σχεδίασης CAD<br /> | rowspan=&quot;4&quot; |AutoCAD<br /> |Archimedes<br /> |https://www.codeplex.com/archimedes&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |FreeCAD<br /> |https://freecadweb.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |LibreCAD<br /> |https://librecad.org/cms/home.html&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |<br /> |<br /> |<br /> |-<br /> |20<br /> |Οπτική αναγνώριση κειμένου<br /> |FineReader<br /> |Kooka<br /> |https://kooka.kde.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |21<br /> |Εργαλείο αποσφαλμάτωσης κώδικα<br /> |Rational Purify<br /> |Valgrind<br /> |https://valgrind.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> |22<br /> |Ασφαλείς συναλλαγές<br /> |Authorize.net<br /> |OpenSSL<br /> |https://www.openssl.org/&lt;br&gt;<br /> |Linux<br /> |-<br /> | rowspan=&quot;2&quot; |23<br /> | rowspan=&quot;2&quot; |Διαχείριση οικιακών οικονομικών<br /> | rowspan=&quot;2&quot; |Microsoft Money<br /> |HomeBank <br /> |https://homebank.free.fr/ &lt;br&gt;<br /> | rowspan=&quot;2&quot; |Windows, Linux<br /> |-<br /> |turboCash<br /> |https://www.turbocashuk.com/<br /> |-<br /> |24<br /> |Εξυπηρετητής εφαρμογών<br /> |Oracle WebLogic Server<br /> |JBoss Tomcat<br /> |https://www.jboss.org/jbossas/ https://tomcat.apache.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |25<br /> |Εξομοιωτής αστρονομία<br /> |Starry Night<br /> |Celestia<br /> |https://shatters.net/celestia/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |26<br /> |Μεταγλωττιστής c/c++<br /> |Visual C compiler<br /> |Gcc<br /> |https://gcc.gnu.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |27<br /> |Συνεργατικά εργαλεία διαχείρισης projects<br /> |SourceForge<br /> |GForge<br /> |https://gforge.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |28<br /> |Ανάλυση κίνησης δικτύου<br /> |Microsoft Network Monitor<br /> |Wireshark<br /> |https://www.wireshark.org/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> | rowspan=&quot;4&quot; |29<br /> | rowspan=&quot;4&quot; |Διαχείριση εκδόσεων λογισμικού<br /> | rowspan=&quot;3&quot; |Perforce<br /> |Subversion<br /> |https://subversion.tigris.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |Git<br /> |https://git-scm.com/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |TortoiseSVN<br /> |https://tortoisesvn.tigris.org/&lt;br&gt;<br /> |Windows<br /> |-<br /> | <br /> | <br /> | <br /> | <br /> |-<br /> |30<br /> |Στατιστική Ανάλυση<br /> |SPSS<br /> |GNU PSPP R – Project<br /> |https://www.gnu.org/software/pspp/ https://www.r-project.org&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> |31<br /> |Desktop Publishing<br /> |Microsoft Publisher<br /> |Scribus<br /> |https://www.scribus.net/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;3&quot; |32<br /> | rowspan=&quot;3&quot; |Ανάκτηση δεδομένων<br /> | rowspan=&quot;3&quot; | <br /> |Photorec<br /> |https://www.cgsecurity.org/wiki/PhotoRec&lt;br&gt;<br /> | rowspan=&quot;3&quot; |Windows, Linux, Mac OS XLinux<br /> |-<br /> |TestDisc<br /> |[https://www.cgsecurity.org/wiki/TestDiskhttps://foremost.sourceforge.net/ https://www.cgsecurity.org/wiki/TestDisk]<br /> |-<br /> |Foremost<br /> |[https://www.cgsecurity.org/wiki/TestDiskhttps://foremost.sourceforge.net/ https://foremost.sourceforge.net/]<br /> |-<br /> |33<br /> |Mechanical computer-aided design (MCAD)<br /> |Autodesk Inventor, SolidWorks<br /> |FreeCAD<br /> |https://freecadweb.org/&lt;br&gt;<br /> |Microsoft Windows, Linux, OS X[1]<br /> |-<br /> |34<br /> |CRM<br /> | <br /> | Vtiger Suitecrm<br /> |https://sourceforge.net/projects/vtigercrm/ https://suitecrm.com/&lt;br&gt;<br /> | <br /> |-<br /> | rowspan=&quot;2&quot; |35<br /> | rowspan=&quot;2&quot; |ERP<br /> | rowspan=&quot;2&quot; | <br /> |Adempiere<br /> |<br /> |Linux, OS X, Unix, Windows<br /> |-<br /> |Dolibarr<br /> |https://www.dolibarr.gr/&lt;br&gt;<br /> |Windows, Linux, Unix, Mac OS X<br /> |-<br /> |36<br /> |Μίξη Ήχου/ Εργαλεία DJ<br /> |Traktor Scratch, Scratch Live<br /> |Mixx<br /> |https://www.mixxx.org/&lt;br&gt;<br /> |Windows, Linux, Mac OS X<br /> |-<br /> | rowspan=&quot;4&quot; |37<br /> | rowspan=&quot;4&quot; |Μουσική σύνθεση<br /> | rowspan=&quot;4&quot; |DrumCore , FL Studio, Finale, GuitarPro<br /> |Hydrogen<br /> |https://www.hydrogen-music.org/&lt;br&gt;<br /> |Windows, Linux, OS X.<br /> |-<br /> |Linux MultiMedia Studio<br /> |https://lmms.sourceforge.net/&lt;br&gt;<br /> |Windows, Linux<br /> |-<br /> |MuseScore<br /> |https://musescore.org/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |TuxGuitar<br /> |https://www.tuxguitar.com.ar/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> | rowspan=&quot;3&quot; |38<br /> | rowspan=&quot;3&quot; |Σύλληψη βίντεο οθόνης (screen video capture)<br /> | rowspan=&quot;3&quot; |Camtasia<br /> |CamStudio<br /> |https://camstudio.org/&lt;br&gt;<br /> |Windows<br /> |-<br /> |Krut Computer Recorder<br /> |https://krut.sourceforge.net/&lt;br&gt;<br /> |Windows, Linux, OS X<br /> |-<br /> |Webinaria<br /> |https://www.webinaria.com/index.php&lt;br&gt;<br /> |Windows, Linux OS X<br /> |}<br /> <br /> ----<br /> <br /> === Επιπλέον πληροφορίες για το ανοιχτό λογισμικό στην [https://el.wikipedia.org/wiki/%CE%91%CE%BD%CE%BF%CE%B9%CE%BA%CF%84%CF%8C%CF%82_%CE%9A%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1%CF%82 wikipedia], μπορείτε να βελτιώσετε [https://el.wikipedia.org/wiki/%CE%91%CE%BD%CE%BF%CE%B9%CE%BA%CF%84%CF%8C%CF%82_%CE%9A%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1%CF%82 αυτό] το άρθρο στα Ελληνικά αξιοποιώντας το [https://en.wikipedia.org/wiki/Open_source αντίστοιχο] στα Αγγλικά. ===<br /> <br /> == [https://directory.fsf.org/wiki/Main_Page The Free Software Directory, is a catalog of useful software] ==<br /> == [https://www.openhub.net/ Discover, Track and Compare Open Source Projects] ==<br /> <br /> ----<br /> <br /> [[Κατηγορία:ΕΛΛΑΚ]]<br /> [[Κατηγορία:Μελέτες]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%91%CF%81%CF%87%CE%B9%CE%BA%CE%AE_%CF%83%CE%B5%CE%BB%CE%AF%CE%B4%CE%B1&diff=2462 2025-11-04T13:23:30Z

<p>Pkst: </p> <hr /> <div>= Καλώς ήλθατε στο wiki του Οργανισμού Ανοιχτών Τεχνολογιών ('''ΕΕΛΛΑΚ''') = <br /> <br /> Καλώς ήλθατε στο '''κεντρικό wiki τεκμηρίωσης ''' του Οργανισμού Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ). <br /> Εδώ θα βρείτε οδηγούς, διαδικασίες, τεκμηρίωση και υλικό για: '''Ελεύθερο / Λογισμικό Ανοιχτού Κώδικα (ΕΛ/ΛΑΚ) ''', '''Ανοικτά Δεδομένα ''', '''Ανοικτό Περιεχόμενο '''και '''Ανοικτές Τεχνολογίες '''.<br /> <br /> ➡️ [https://ellak.gr/wiki/ Πρόσβαση στο wiki της ΕΕΛΛΑΚ]<br /> <br /> __TOC__<br /> <br /> ---<br /> <br /> == 🔗 Γρήγορη Πλοήγηση == <br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:90%; background:#fffaf5; border:1px solid #f2c48d;&quot;<br /> |-<br /> ! style=&quot;background:#ffe4b2; text-align:center;&quot; | '''Γρήγορη Πλοήγηση'''<br /> |-<br /> |<br /> * '''Κεντρικά''': [http://eellak.gr eellak.gr] · [http://gfoss.eu gfoss.eu] · [https://advisory.ellak.gr advisory] · [https://wiki.ellak.gr wiki] <br /> * '''Εκπαίδευση''': [https://edu.ellak.gr edu] · [https://elearn.ellak.gr elearn] · [https://robotics.ellak.gr robotics] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] · [https://mathe.ellak.gr mathe] <br /> * '''Περιεχόμενο / Δεδομένα''': [https://mycontent.ellak.gr mycontent] · [https://creativecommons.gr creativecommons] · [https://odi.ellak.gr odi] · [https://opendata.ellak.gr opendata] · [https://openstandards.ellak.gr openstandards] · [http://repository.ellak.gr repository] <br /> * '''Δημόσιος Τομέας &amp; Πόλεις''': [https://opengov.ellak.gr opengov] · [https://smartcities.ellak.gr smartcities] · [https://el.diadikasies.gr diadikasies] · [https://obs.ellak.gr obs] <br /> * '''Υποδομές &amp; Κοινότητα''': [https://github.com/eellak github] · [https://opensource.ellak.gr opensource] · [https://glossapi.gr glossapi] · [https://openhardware.ellak.gr openhardware] · [https://opendesign.ellak.gr opendesign] · [https://openwifi.gr openwifi] · [https://openedtech.ellak.gr openedtech] · [https://planet.ellak.gr planet] · [https://newsletters.ellak.gr newsletters] · [https://lists.ellak.gr lists]<br /> |}<br /> <br /> ---<br /> <br /> == 📝 Οδηγίες για Blogs Δράσεων &amp; Ομάδων Εργασίας == <br /> <br /> [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Δείτε εδώ αναλυτικές οδηγίες] <br /> για τη δημοσίευση άρθρων στις σελίδες δράσεων και στα blogs των ομάδων εργασίας.<br /> <br /> ---<br /> <br /> == 🌐 Ιστοσελίδες Δράσεων του Οργανισμού(EΕΛ/ΛΑΚ) == <br /> <br /> * [https://ellak.gr/ Το κεντρικό site για το ΕΛ/ΛΑΚ] — Αναδημοσιεύονται αυτόματα όλα τα άρθρα από όλους τους δικτυακούς τόπους της ΕΕΛΛΑΚ.<br /> * [https://ellak.gr/ Οργανισμός Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ)] — Ο εταιρικός δικτυακός τόπος.<br /> {| class=&quot;wikitable&quot; style=&quot;width:40%; background:#f5faff; border:1px solid #a3c1ff;&quot;<br /> |-<br /> ! style=&quot;background:#dbe8ff; text-align:center;&quot; | '''Μέσα Κοινωνικής Δικτύωσης ΕΕΛΛΑΚ'''<br /> |-<br /> | <br /> * LinkedIn: [https://www.linkedin.com/in/gfoss/ eellak] <br /> * Facebook: [https://www.facebook.com/eellak eellak] <br /> * Instagram: [https://www.instagram.com/ellak.gr/ eellak] <br /> * BlueSky: [https://bsky.app/profile/eellak.bsky.social eellak] <br /> * Mastodon: [https://mastodon.social/@eellak eellak] <br /> * Twitter/X: [https://twitter.com/eellak @eellak]<br /> |}<br /> <br /> <br /> * [http://gfoss.eu Open Technologies Alliance (GFOSS)] — Αγγλόφωνη παρουσία της ΕΕΛΛΑΚ (Twitter/X: [https://twitter.com/gfoss_en @gfoss_en])<br /> * [https://github.com/eellak github.com/eellak] — Αποθετήριο κώδικα της ΕΕΛΛΑΚ.<br /> * [https://mathe.ellak.gr/ mathe.ellak.gr] — Προώθηση &amp; διάδοση ΕΛ/ΛΑΚ: Ανοιχτό λογισμικό, ανοιχτοί ορίζοντες.<br /> * [https://glossapi.gr/ glossapi.gr] — Open-source toolkit της ΕΕΛΛΑΚ για ανάλυση ελληνικού κειμένου (λογοτεχνία, νομοθεσία, επιστήμη, πολιτισμός).<br /> * [https://opensource.ellak.gr/ opensource.ellak.gr] — Ανοιχτό λογισμικό.<br /> * [https://edu.ellak.gr/ edu.ellak.gr] — Ανοικτές τεχνολογίες στην εκπαίδευση.<br /> * [https://elearn.ellak.gr/ elearn.ellak.gr] — Πλατφόρμα ανοικτού εκπαιδευτικού περιεχομένου.<br /> * [https://openedtech.ellak.gr/ openedtech.ellak.gr] — Πανελλήνιος Διαγωνισμός Ρομποτικής Ανοιχτών Τεχνολογιών.<br /> * [https://scientix.ellak.gr/ scientix.ellak.gr] — Πανελλήνιο Συνέδριο Scientix.<br /> * [https://elearnconf.ellak.gr/ elearnconf.ellak.gr] — Διημερίδα «Η πρόκληση της ανοικτής εκπαίδευσης».<br /> * [https://privacy.ellak.gr/ privacy.ellak.gr] — Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων.<br /> * [https://creativecommons.ellak.gr/ Creative Commons] — Προώθηση των Αδειών Creative Commons.<br /> {| class=&quot;wikitable&quot; style=&quot;width:40%; background:#f5faff; border:1px solid #a3c1ff;&quot;<br /> |-<br /> ! style=&quot;background:#dbe8ff; text-align:center;&quot; | '''Μέσα Κοινωνικής Δικτύωσης — Creative Commons Greece'''<br /> |-<br /> | <br /> * Facebook: [https://www.facebook.com/CreativeCommonsGreece CreativeCommonsGreece] <br /> * Twitter/X: [https://twitter.com/cc_greece @cc_greece]<br /> |}<br /> <br /> <br /> * [https://opengov.ellak.gr/ opengov.ellak.gr] — Προώθηση δράσεων Ανοιχτής Διακυβέρνησης.<br /> * [https://mycontent.ellak.gr/ mycontent.ellak.gr] — Προώθηση ανοικτού περιεχομένου (Wikipedia, OpenStreetMap, OpenGLAM).<br /> * [https://opendata.ellak.gr/ opendata.ellak.gr] — Ανοικτά Δεδομένα.<br /> * [https://openhardware.ellak.gr/ openhardware.ellak.gr] — Προώθηση Ανοικτού Υλισμικού (Hardware).<br /> * [https://openwifi.gr/ openwifi.gr] — Ελεύθερα ασύρματα δίκτυα.<br /> * [https://oer.ellak.gr/ oer.ellak.gr] — Ανοικτό περιεχόμενο στην εκπαίδευση.<br /> * [https://openstandards.ellak.gr/ openstandards.ellak.gr] — Προώθηση Ανοικτών Προτύπων.<br /> * [https://odi.ellak.gr/ odi.ellak.gr] — Open Data Institute – Athens Node.<br /> * [https://obs.ellak.gr/ obs.ellak.gr] — Ανοικτοί Προϋπολογισμοί, Προμήθειες και Συμβάσεις.<br /> * [https://legal.ellak.gr/ legal.ellak.gr] — Νομικά θέματα για ΕΛ/ΛΑΚ και ανοικτές τεχνολογίες.<br /> * [https://smartcities.ellak.gr/ smartcities.ellak.gr] — Έξυπνες πόλεις.<br /> * [https://openbusiness.ellak.gr/ openbusiness.ellak.gr] — Προώθηση της Ανοικτής Επιχειρηματικότητας και Καινοτομίας.<br /> * [https://advisory.ellak.gr/ advisory.ellak.gr] — Δημόσια διαβούλευση για τις δράσεις της ΕΕΛΛΑΚ.<br /> * [https://opendesign.ellak.gr/ opendesign.ellak.gr] — Ανοιχτή σχεδίαση (Open Design).<br /> * [https://ccradio.ellak.gr/ ccradio.ellak.gr] — Μουσικό ραδιόφωνο με άδειες Creative Commons.<br /> * [https://planet.ellak.gr/ planet.ellak.gr] — Συγκεντρωτής δημοσιεύσεων της κοινότητας ΕΛ/ΛΑΚ.<br /> * [http://repository.ellak.gr/ repository.ellak.gr] — Αποθετήριο υλικού έργων, τεκμηρίωσης και δράσεων.<br /> * [https://conferences.ellak.gr/ conferences.ellak.gr] — Οπτικοακουστικό υλικό και παρουσιάσεις από συνέδρια/ημερίδες.<br /> * [https://el.diadikasies.gr/ el.diadikasies.gr] — Wiki υπηρεσιών και διαδικασιών Δημόσιου Τομέα.<br /> ---<br /> <br /> == 👥 Blogs Ομάδων Εργασίας == <br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:90%; background:#f5faff; border:1px solid #a3c1ff;&quot;<br /> |-<br /> ! style=&quot;background:#dbe8ff; text-align:center;&quot; | '''Blogs Ομάδων Εργασίας της ΕΕΛΛΑΚ'''<br /> |-<br /> |<br /> * [https://opengov.ellak.gr opengov.ellak.gr] &amp; [https://opendata.ellak.gr opendata.ellak.gr] — '''Ομάδα Εργασίας για την Ανοικτή Διακυβέρνηση και τα Ανοικτά Δεδομένα'''<br /> * [https://edu.ellak.gr edu.ellak.gr], [https://oer.ellak.gr oer.ellak.gr], [https://elearn.ellak.gr elearn.ellak.gr], [https://openedtech.ellak.gr openedtech.ellak.gr], [https://scientix.ellak.gr scientix.ellak.gr], [https://elearnconf.ellak.gr elearnconf.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτές Τεχνολογίες και Ανοικτό Περιεχόμενο στην Εκπαίδευση'''<br /> * [https://openhardware.ellak.gr openhardware.ellak.gr] &amp; [https://openwifi.ellak.gr openwifi.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτό Σχεδιασμό, Ανοιχτό Υλισμικό και Ασύρματα Δίκτυα'''<br /> * [https://privacy.ellak.gr privacy.ellak.gr] &amp; [https://legal.ellak.gr legal.ellak.gr] — '''Ομάδα Εργασίας για Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων'''<br /> * [https://opensource.ellak.gr opensource.ellak.gr] &amp; [https://openstandards.ellak.gr openstandards.ellak.gr] — '''Ομάδα Εργασίας για Ανοικτό Λογισμικό και Ανοικτά Πρότυπα'''<br /> * [https://openbusiness.ellak.gr openbusiness.ellak.gr] &amp; [https://smartcities.ellak.gr smartcities.ellak.gr] — '''Ομάδα Εργασίας για Καινοτομία, Επιχειρηματικότητα και Έξυπνες Πόλεις'''<br /> |}<br /> <br /> <br /> <br /> ---<br /> <br /> == 📚 Δράσεις &amp; Κατηγορίες στο wiki == <br /> <br /> * [[:Κατηγορία:Ομάδες Εργασίας της ΕΕΛ/ΛΑΚ|Ομάδες Εργασίας του Οργανισμού]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9A%CE%B1%CF%84%CE%AC%CE%BB%CE%BF%CE%B3%CE%BF%CF%82_%CE%9A%CE%BF%CE%B9%CE%BD%CE%BF%CF%84%CE%AE%CF%84%CF%89%CE%BD_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CF%8E%CE%BD_%CE%A4%CE%B5%CF%87%CE%BD%CE%BF%CE%BB%CE%BF%CE%B3%CE%B9%CF%8E%CE%BD Κατάλογος Κοινοτήτων Ανοιχτών Τεχνολογιών]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%95%CF%84%CE%B1%CE%B9%CF%81%CE%B5%CE%AF%CE%B5%CF%82_%CF%80%CE%BF%CF%85_%CF%85%CF%80%CE%BF%CF%83%CF%84%CE%B7%CF%81%CE%AF%CE%B6%CE%BF%CF%85%CE%BD_%CE%BB%CF%8D%CF%83%CE%B5%CE%B9%CF%82_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%9B%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CE%BF%CF%8D Εταιρείες που υποστηρίζουν λύσεις Ανοικτού Λογισμικού]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%A0%CE%AF%CE%BD%CE%B1%CE%BA%CE%B1%CF%82_%CE%B9%CF%83%CE%BF%CE%B4%CF%8D%CE%BD%CE%B1%CE%BC%CF%89%CE%BD_%CE%BB%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1 Πίνακας ισοδύναμων λογισμικών ανοιχτού κώδικα]<br /> * [[:Κατηγορία:Προτάσεις Πολιτικής|Προτάσεις Πολιτικής]]<br /> * [[:Κατηγορία:Μελέτες|Μελέτες]] — Σχέση ΕΛ/ΛΑΚ με ανοικτή διακυβέρνηση, εκπαίδευση, κοινότητες, Δημόσιο τομέα, επιχειρήσεις, άδειες.<br /> * [[Κατάλογος Πηγών Ελληνικού Κειμένου]]<br /> * [[Google Summer of Code]] · [[Summer of Code]]<br /> * [[:Κατηγορία:ΠΑΝΟΠΤΗΣ|ΠΑΝΟΠΤΗΣ]] — Άσκηση κυβερνοάμυνας.<br /> * [[:Κατηγορία:Κρυπτογράφηση|Κρυπτογράφηση]] — Άρθρα, εγχειρίδια και how-to για κρυπτογράφηση &amp; ασφάλεια.<br /> * [[:Κατηγορία:Ανοικτά δεδομένα|Ανοικτά δεδομένα]]<br /> * [[:Κατηγορία:Ανοικτή Διακυβέρνηση|Ανοικτή Διακυβέρνηση]]<br /> * [[:Κατηγορία:Ανοικτό Περιεχόμενο|Ανοικτό Περιεχόμενο]]<br /> * [[:Κατηγορία:Εκπαίδευση και ΕΛΛΑΚ‏‎|Εκπαίδευση και ΕΛΛΑΚ]]<br /> * [[:Κατηγορία:Νομικά θέματα ΕΕΛ/ΛΑΚ‏‎|Νομικά θέματα]]<br /> * [[:Κατηγορία:ΕΛΛΑΚ‏‎|ΕΛΛΑΚ]] — Οδηγοί, κατάλογοι κοινοτήτων και εταιρειών.<br /> * [[:Κατηγορία:FABLAB‏‎|FABLAB]]<br /> * [[:Κατηγορία:ΕΕΛ/ΛΑΚ‏‎|Οργανισμός Ανοιχτών Τεχνολογιών ΕΕΛΛΑΚ]] — Καταστατικό, παρουσίαση, δράσεις.<br /> * [[:Κατηγορία:Τεχνικές Προδιαγραφές|Τεχνικές Προδιαγραφές]] — Υποδείγματα.<br /> * [[ΕΤΗΣΙΕΣ ΕΡΕΥΝΕΣ: Πείτε μας τη γνώμη σας για το περιεχόμενο του ενημερωτικού δελτίου της ΕΕΛΛΑΚ]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%94%CF%81%CE%AC%CF%83%CE%B5%CE%B9%CF%82_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1_%CE%B3%CE%B9%CE%B1_%CF%84%CE%B7%CE%BD_%CE%B1%CE%BD%CF%84%CE%B9%CE%BC%CE%B5%CF%84%CF%8E%CF%80%CE%B9%CF%83%CE%B7_%CF%84%CF%89%CE%BD_%CF%83%CF%85%CE%BD%CE%B5%CF%80%CE%B5%CE%B9%CF%89%CE%BD_%CF%84%CE%B7%CF%82_%CF%80%CE%B1%CE%BD%CE%B4%CE%B7%CE%BC%CE%AF%CE%B1%CF%82 Δράσεις ανοιχτού κώδικα για την πανδημία]<br /> <br /> ---<br /> <br /> == ⚙️ Πηγές &amp; Εργαλεία == <br /> <br /> === [https://mathe.ellak.gr/?page_id=135 Πίνακας ισοδύναμων λογισμικών] ===<br /> * [http://directory.fsf.org/wiki/Main_Page Free Software Directory] — Κατάλογος χρήσιμου λογισμικού.<br /> * [https://www.openhub.net/ OpenHub] — Discover, track and compare open source projects.<br /> <br /> ---<br /> <br /> == 🤝 Συμμετοχή == <br /> <br /> * Διαβούλευση: [https://advisory.ellak.gr advisory.ellak.gr]<br /> * Συνεισφορά σε έργα: [https://github.com/eellak GitHub/eellak]<br /> * Οδηγός wiki: [[Οδηγός:Πώς_συμμετέχω_στο_wiki|Πώς συμμετέχω στο wiki]]<br /> <br /> ---<br /> <br /> == ✍️ Οδηγίες για Συντάκτες == <br /> <br /> * Άδειες τεκμηρίωσης: CC BY-SA.<br /> * Σαφείς τίτλοι και σύντομες περιλήψεις.<br /> * Προσθέστε σχετικές κατηγορίες σε κάθε άρθρο που προτείνετε για δημοσίευση.<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Οδηγίες: πώς να καταχωρείτε άρθρα στις σελίδες δράσεων και τα blogs ομάδων εργασίας]<br /> <br /> ---<br /> <br /> == 💬 Επικοινωνία &amp; Προτάσεις == <br /> <br /> Για προτάσεις βελτίωσης ή θέματα διαβούλευσης, επικοινωνήστε μέσω της φόρμας: <br /> ➡️ [https://ellak.gr/pite-mas-ti-gnomi-sas/ Πείτε μας τη γνώμη σας]<br /> <br /> ''Τελευταία επιμέλεια σελίδας: 04/11/2025'' <br /> <br /> [[Κατηγορία:ΕΕΛΛΑΚ]] [[Κατηγορία:Αρχική σελίδα]] [[Κατηγορία:Τεκμηρίωση]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%91%CF%81%CF%87%CE%B9%CE%BA%CE%AE_%CF%83%CE%B5%CE%BB%CE%AF%CE%B4%CE%B1&diff=2461 2025-11-04T13:10:58Z

<p>Pkst: </p> <hr /> <div>= Καλώς ήλθατε στο wiki του Οργανισμού Ανοιχτών Τεχνολογιών ('''ΕΕΛΛΑΚ''') = <br /> <br /> Καλώς ήλθατε στο '''κεντρικό wiki τεκμηρίωσης ''' του Οργανισμού Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ). <br /> Εδώ θα βρείτε οδηγούς, διαδικασίες, τεκμηρίωση και υλικό για: '''Ελεύθερο / Λογισμικό Ανοιχτού Κώδικα (ΕΛ/ΛΑΚ) ''', '''Ανοικτά Δεδομένα ''', '''Ανοικτό Περιεχόμενο '''και '''Ανοικτές Τεχνολογίες '''.<br /> <br /> ➡️ [https://ellak.gr/wiki/ Πρόσβαση στο wiki της ΕΕΛΛΑΚ]<br /> <br /> __TOC__<br /> <br /> ---<br /> <br /> == 🔗 Γρήγορη Πλοήγηση == <br /> <br /> * '''Κεντρικά''': [http://eellak.gr eellak.gr] · [http://gfoss.eu gfoss.eu] · [https://advisory.ellak.gr advisory] · [https://wiki.ellak.gr wiki]<br /> * '''Εκπαίδευση''': [https://edu.ellak.gr edu] · [https://elearn.ellak.gr elearn] · [https://robotics.ellak.gr robotics] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] · [https://mathe.ellak.gr mathe]<br /> * '''Περιεχόμενο / Δεδομένα''': [https://mycontent.ellak.gr mycontent] · [https://creativecommons.gr creativecommons] · [https://odi.ellak.gr odi] · [https://opendata.ellak.gr opendata] · [https://openstandards.ellak.gr openstandards] · [http://repository.ellak.gr repository]<br /> * '''Δημόσιος Τομέας &amp; Πόλεις''': [https://opengov.ellak.gr opengov] · [https://smartcities.ellak.gr smartcities] · [https://el.diadikasies.gr diadikasies] · [https://obs.ellak.gr obs]<br /> * '''Υποδομές &amp; Κοινότητα''': [https://github.com/eellak github] · [https://opensource.ellak.gr opensource] · [https://glossapi.gr glossapi] · [https://openhardware.ellak.gr openhardware] · [https://opendesign.ellak.gr opendesign] · [https://openwifi.gr openwifi] · [https://openedtech.ellak.gr openedtech] · [https://planet.ellak.gr planet] · [https://newsletters.ellak.gr newsletters] · [https://lists.ellak.gr lists]<br /> <br /> <br /> <br /> ---<br /> <br /> == 📝 Οδηγίες για Blogs Δράσεων &amp; Ομάδων Εργασίας == <br /> <br /> [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Δείτε εδώ αναλυτικές οδηγίες] <br /> για τη δημοσίευση άρθρων στις σελίδες δράσεων και στα blogs των ομάδων εργασίας.<br /> <br /> ---<br /> <br /> == 🌐 Ιστοσελίδες Δράσεων του Οργανισμού(EΕΛ/ΛΑΚ) == <br /> <br /> * [https://ellak.gr/ Το κεντρικό site για το ΕΛ/ΛΑΚ] — Αναδημοσιεύονται αυτόματα όλα τα άρθρα από όλους τους δικτυακούς τόπους της ΕΕΛΛΑΚ.<br /> * [https://ellak.gr/ Οργανισμός Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ)] — Ο εταιρικός δικτυακός τόπος.<br /> {| class=&quot;wikitable&quot; style=&quot;width:40%; background:#f5faff; border:1px solid #a3c1ff;&quot;<br /> |-<br /> ! style=&quot;background:#dbe8ff; text-align:center;&quot; | '''Μέσα Κοινωνικής Δικτύωσης ΕΕΛΛΑΚ'''<br /> |-<br /> | <br /> * LinkedIn: [https://www.linkedin.com/in/gfoss/ eellak] <br /> * Facebook: [https://www.facebook.com/eellak eellak] <br /> * Instagram: [https://www.instagram.com/ellak.gr/ eellak] <br /> * BlueSky: [https://bsky.app/profile/eellak.bsky.social eellak] <br /> * Mastodon: [https://mastodon.social/@eellak eellak] <br /> * Twitter/X: [https://twitter.com/eellak @eellak]<br /> |}<br /> <br /> <br /> * [http://gfoss.eu Open Technologies Alliance (GFOSS)] — Αγγλόφωνη παρουσία της ΕΕΛΛΑΚ (Twitter/X: [https://twitter.com/gfoss_en @gfoss_en])<br /> * [https://github.com/eellak github.com/eellak] — Αποθετήριο κώδικα της ΕΕΛΛΑΚ.<br /> * [https://mathe.ellak.gr/ mathe.ellak.gr] — Προώθηση &amp; διάδοση ΕΛ/ΛΑΚ: Ανοιχτό λογισμικό, ανοιχτοί ορίζοντες.<br /> * [https://glossapi.gr/ glossapi.gr] — Open-source toolkit της ΕΕΛΛΑΚ για ανάλυση ελληνικού κειμένου (λογοτεχνία, νομοθεσία, επιστήμη, πολιτισμός).<br /> * [https://opensource.ellak.gr/ opensource.ellak.gr] — Ανοιχτό λογισμικό.<br /> * [https://edu.ellak.gr/ edu.ellak.gr] — Ανοικτές τεχνολογίες στην εκπαίδευση.<br /> * [https://elearn.ellak.gr/ elearn.ellak.gr] — Πλατφόρμα ανοικτού εκπαιδευτικού περιεχομένου.<br /> * [https://openedtech.ellak.gr/ openedtech.ellak.gr] — Πανελλήνιος Διαγωνισμός Ρομποτικής Ανοιχτών Τεχνολογιών.<br /> * [https://scientix.ellak.gr/ scientix.ellak.gr] — Πανελλήνιο Συνέδριο Scientix.<br /> * [https://elearnconf.ellak.gr/ elearnconf.ellak.gr] — Διημερίδα «Η πρόκληση της ανοικτής εκπαίδευσης».<br /> * [https://privacy.ellak.gr/ privacy.ellak.gr] — Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων.<br /> * [https://creativecommons.ellak.gr/ Creative Commons] — Προώθηση των Αδειών Creative Commons.<br /> {| class=&quot;wikitable&quot; style=&quot;width:40%; background:#f5faff; border:1px solid #a3c1ff;&quot;<br /> |-<br /> ! style=&quot;background:#dbe8ff; text-align:center;&quot; | '''Μέσα Κοινωνικής Δικτύωσης — Creative Commons Greece'''<br /> |-<br /> | <br /> * Facebook: [https://www.facebook.com/CreativeCommonsGreece CreativeCommonsGreece] <br /> * Twitter/X: [https://twitter.com/cc_greece @cc_greece]<br /> |}<br /> <br /> <br /> * [https://opengov.ellak.gr/ opengov.ellak.gr] — Προώθηση δράσεων Ανοιχτής Διακυβέρνησης.<br /> * [https://mycontent.ellak.gr/ mycontent.ellak.gr] — Προώθηση ανοικτού περιεχομένου (Wikipedia, OpenStreetMap, OpenGLAM).<br /> * [https://opendata.ellak.gr/ opendata.ellak.gr] — Ανοικτά Δεδομένα.<br /> * [https://openhardware.ellak.gr/ openhardware.ellak.gr] — Προώθηση Ανοικτού Υλισμικού (Hardware).<br /> * [https://openwifi.gr/ openwifi.gr] — Ελεύθερα ασύρματα δίκτυα.<br /> * [https://oer.ellak.gr/ oer.ellak.gr] — Ανοικτό περιεχόμενο στην εκπαίδευση.<br /> * [https://openstandards.ellak.gr/ openstandards.ellak.gr] — Προώθηση Ανοικτών Προτύπων.<br /> * [https://odi.ellak.gr/ odi.ellak.gr] — Open Data Institute – Athens Node.<br /> * [https://obs.ellak.gr/ obs.ellak.gr] — Ανοικτοί Προϋπολογισμοί, Προμήθειες και Συμβάσεις.<br /> * [https://legal.ellak.gr/ legal.ellak.gr] — Νομικά θέματα για ΕΛ/ΛΑΚ και ανοικτές τεχνολογίες.<br /> * [https://smartcities.ellak.gr/ smartcities.ellak.gr] — Έξυπνες πόλεις.<br /> * [https://openbusiness.ellak.gr/ openbusiness.ellak.gr] — Προώθηση της Ανοικτής Επιχειρηματικότητας και Καινοτομίας.<br /> * [https://advisory.ellak.gr/ advisory.ellak.gr] — Δημόσια διαβούλευση για τις δράσεις της ΕΕΛΛΑΚ.<br /> * [https://opendesign.ellak.gr/ opendesign.ellak.gr] — Ανοιχτή σχεδίαση (Open Design).<br /> * [https://ccradio.ellak.gr/ ccradio.ellak.gr] — Μουσικό ραδιόφωνο με άδειες Creative Commons.<br /> * [https://planet.ellak.gr/ planet.ellak.gr] — Συγκεντρωτής δημοσιεύσεων της κοινότητας ΕΛ/ΛΑΚ.<br /> * [http://repository.ellak.gr/ repository.ellak.gr] — Αποθετήριο υλικού έργων, τεκμηρίωσης και δράσεων.<br /> * [https://conferences.ellak.gr/ conferences.ellak.gr] — Οπτικοακουστικό υλικό και παρουσιάσεις από συνέδρια/ημερίδες.<br /> * [https://el.diadikasies.gr/ el.diadikasies.gr] — Wiki υπηρεσιών και διαδικασιών Δημόσιου Τομέα.<br /> ---<br /> <br /> == 👥 Blogs Ομάδων Εργασίας == <br /> <br /> {| class=&quot;wikitable&quot; style=&quot;width:90%; background:#f5faff; border:1px solid #a3c1ff;&quot;<br /> |-<br /> ! style=&quot;background:#dbe8ff; text-align:center;&quot; | '''Blogs Ομάδων Εργασίας της ΕΕΛΛΑΚ'''<br /> |-<br /> |<br /> * [https://opengov.ellak.gr opengov.ellak.gr] &amp; [https://opendata.ellak.gr opendata.ellak.gr] — '''Ομάδα Εργασίας για την Ανοικτή Διακυβέρνηση και τα Ανοικτά Δεδομένα'''<br /> * [https://edu.ellak.gr edu.ellak.gr], [https://oer.ellak.gr oer.ellak.gr], [https://elearn.ellak.gr elearn.ellak.gr], [https://openedtech.ellak.gr openedtech.ellak.gr], [https://scientix.ellak.gr scientix.ellak.gr], [https://elearnconf.ellak.gr elearnconf.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτές Τεχνολογίες και Ανοικτό Περιεχόμενο στην Εκπαίδευση'''<br /> * [https://openhardware.ellak.gr openhardware.ellak.gr] &amp; [https://openwifi.ellak.gr openwifi.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτό Σχεδιασμό, Ανοιχτό Υλισμικό και Ασύρματα Δίκτυα'''<br /> * [https://privacy.ellak.gr privacy.ellak.gr] &amp; [https://legal.ellak.gr legal.ellak.gr] — '''Ομάδα Εργασίας για Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων'''<br /> * [https://opensource.ellak.gr opensource.ellak.gr] &amp; [https://openstandards.ellak.gr openstandards.ellak.gr] — '''Ομάδα Εργασίας για Ανοικτό Λογισμικό και Ανοικτά Πρότυπα'''<br /> * [https://openbusiness.ellak.gr openbusiness.ellak.gr] &amp; [https://smartcities.ellak.gr smartcities.ellak.gr] — '''Ομάδα Εργασίας για Καινοτομία, Επιχειρηματικότητα και Έξυπνες Πόλεις'''<br /> |}<br /> <br /> <br /> <br /> ---<br /> <br /> == 📚 Δράσεις &amp; Κατηγορίες στο wiki == <br /> <br /> * [[:Κατηγορία:Ομάδες Εργασίας της ΕΕΛ/ΛΑΚ|Ομάδες Εργασίας του Οργανισμού]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9A%CE%B1%CF%84%CE%AC%CE%BB%CE%BF%CE%B3%CE%BF%CF%82_%CE%9A%CE%BF%CE%B9%CE%BD%CE%BF%CF%84%CE%AE%CF%84%CF%89%CE%BD_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CF%8E%CE%BD_%CE%A4%CE%B5%CF%87%CE%BD%CE%BF%CE%BB%CE%BF%CE%B3%CE%B9%CF%8E%CE%BD Κατάλογος Κοινοτήτων Ανοιχτών Τεχνολογιών]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%95%CF%84%CE%B1%CE%B9%CF%81%CE%B5%CE%AF%CE%B5%CF%82_%CF%80%CE%BF%CF%85_%CF%85%CF%80%CE%BF%CF%83%CF%84%CE%B7%CF%81%CE%AF%CE%B6%CE%BF%CF%85%CE%BD_%CE%BB%CF%8D%CF%83%CE%B5%CE%B9%CF%82_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%9B%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CE%BF%CF%8D Εταιρείες που υποστηρίζουν λύσεις Ανοικτού Λογισμικού]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%A0%CE%AF%CE%BD%CE%B1%CE%BA%CE%B1%CF%82_%CE%B9%CF%83%CE%BF%CE%B4%CF%8D%CE%BD%CE%B1%CE%BC%CF%89%CE%BD_%CE%BB%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1 Πίνακας ισοδύναμων λογισμικών ανοιχτού κώδικα]<br /> * [[:Κατηγορία:Προτάσεις Πολιτικής|Προτάσεις Πολιτικής]]<br /> * [[:Κατηγορία:Μελέτες|Μελέτες]] — Σχέση ΕΛ/ΛΑΚ με ανοικτή διακυβέρνηση, εκπαίδευση, κοινότητες, Δημόσιο τομέα, επιχειρήσεις, άδειες.<br /> * [[Κατάλογος Πηγών Ελληνικού Κειμένου]]<br /> * [[Google Summer of Code]] · [[Summer of Code]]<br /> * [[:Κατηγορία:ΠΑΝΟΠΤΗΣ|ΠΑΝΟΠΤΗΣ]] — Άσκηση κυβερνοάμυνας.<br /> * [[:Κατηγορία:Κρυπτογράφηση|Κρυπτογράφηση]] — Άρθρα, εγχειρίδια και how-to για κρυπτογράφηση &amp; ασφάλεια.<br /> * [[:Κατηγορία:Ανοικτά δεδομένα|Ανοικτά δεδομένα]]<br /> * [[:Κατηγορία:Ανοικτή Διακυβέρνηση|Ανοικτή Διακυβέρνηση]]<br /> * [[:Κατηγορία:Ανοικτό Περιεχόμενο|Ανοικτό Περιεχόμενο]]<br /> * [[:Κατηγορία:Εκπαίδευση και ΕΛΛΑΚ‏‎|Εκπαίδευση και ΕΛΛΑΚ]]<br /> * [[:Κατηγορία:Νομικά θέματα ΕΕΛ/ΛΑΚ‏‎|Νομικά θέματα]]<br /> * [[:Κατηγορία:ΕΛΛΑΚ‏‎|ΕΛΛΑΚ]] — Οδηγοί, κατάλογοι κοινοτήτων και εταιρειών.<br /> * [[:Κατηγορία:FABLAB‏‎|FABLAB]]<br /> * [[:Κατηγορία:ΕΕΛ/ΛΑΚ‏‎|Οργανισμός Ανοιχτών Τεχνολογιών ΕΕΛΛΑΚ]] — Καταστατικό, παρουσίαση, δράσεις.<br /> * [[:Κατηγορία:Τεχνικές Προδιαγραφές|Τεχνικές Προδιαγραφές]] — Υποδείγματα.<br /> * [[ΕΤΗΣΙΕΣ ΕΡΕΥΝΕΣ: Πείτε μας τη γνώμη σας για το περιεχόμενο του ενημερωτικού δελτίου της ΕΕΛΛΑΚ]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%94%CF%81%CE%AC%CF%83%CE%B5%CE%B9%CF%82_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1_%CE%B3%CE%B9%CE%B1_%CF%84%CE%B7%CE%BD_%CE%B1%CE%BD%CF%84%CE%B9%CE%BC%CE%B5%CF%84%CF%8E%CF%80%CE%B9%CF%83%CE%B7_%CF%84%CF%89%CE%BD_%CF%83%CF%85%CE%BD%CE%B5%CF%80%CE%B5%CE%B9%CF%89%CE%BD_%CF%84%CE%B7%CF%82_%CF%80%CE%B1%CE%BD%CE%B4%CE%B7%CE%BC%CE%AF%CE%B1%CF%82 Δράσεις ανοιχτού κώδικα για την πανδημία]<br /> <br /> ---<br /> <br /> == ⚙️ Πηγές &amp; Εργαλεία == <br /> <br /> === [https://mathe.ellak.gr/?page_id=135 Πίνακας ισοδύναμων λογισμικών] ===<br /> * [http://directory.fsf.org/wiki/Main_Page Free Software Directory] — Κατάλογος χρήσιμου λογισμικού.<br /> * [https://www.openhub.net/ OpenHub] — Discover, track and compare open source projects.<br /> <br /> ---<br /> <br /> == 🤝 Συμμετοχή == <br /> <br /> * Διαβούλευση: [https://advisory.ellak.gr advisory.ellak.gr]<br /> * Συνεισφορά σε έργα: [https://github.com/eellak GitHub/eellak]<br /> * Οδηγός wiki: [[Οδηγός:Πώς_συμμετέχω_στο_wiki|Πώς συμμετέχω στο wiki]]<br /> <br /> ---<br /> <br /> == ✍️ Οδηγίες για Συντάκτες == <br /> <br /> * Άδειες τεκμηρίωσης: CC BY-SA.<br /> * Σαφείς τίτλοι και σύντομες περιλήψεις.<br /> * Προσθέστε σχετικές κατηγορίες σε κάθε άρθρο που προτείνετε για δημοσίευση.<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Οδηγίες: πώς να καταχωρείτε άρθρα στις σελίδες δράσεων και τα blogs ομάδων εργασίας]<br /> <br /> ---<br /> <br /> == 💬 Επικοινωνία &amp; Προτάσεις == <br /> <br /> Για προτάσεις βελτίωσης ή θέματα διαβούλευσης, επικοινωνήστε μέσω της φόρμας: <br /> ➡️ [https://ellak.gr/pite-mas-ti-gnomi-sas/ Πείτε μας τη γνώμη σας]<br /> <br /> ''Τελευταία επιμέλεια σελίδας: 04/11/2025'' <br /> <br /> [[Κατηγορία:ΕΕΛΛΑΚ]] [[Κατηγορία:Αρχική σελίδα]] [[Κατηγορία:Τεκμηρίωση]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%91%CF%81%CF%87%CE%B9%CE%BA%CE%AE_%CF%83%CE%B5%CE%BB%CE%AF%CE%B4%CE%B1&diff=2460 2025-11-04T13:06:02Z

<p>Pkst: </p> <hr /> <div>= Καλώς ήλθατε στο wiki του Οργανισμού Ανοιχτών Τεχνολογιών ('''ΕΕΛΛΑΚ''') = <br /> <br /> Καλώς ήλθατε στο '''κεντρικό wiki τεκμηρίωσης ''' του Οργανισμού Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ). <br /> Εδώ θα βρείτε οδηγούς, διαδικασίες, τεκμηρίωση και υλικό για: '''Ελεύθερο / Λογισμικό Ανοιχτού Κώδικα (ΕΛ/ΛΑΚ) ''', '''Ανοικτά Δεδομένα ''', '''Ανοικτό Περιεχόμενο '''και '''Ανοικτές Τεχνολογίες '''.<br /> <br /> ➡️ [https://ellak.gr/wiki/ Πρόσβαση στο wiki της ΕΕΛΛΑΚ]<br /> <br /> __TOC__<br /> <br /> ---<br /> <br /> == 🔗 Γρήγορη Πλοήγηση == <br /> <br /> * '''Κεντρικά''': [http://eellak.gr eellak.gr] · [http://gfoss.eu gfoss.eu] · [https://advisory.ellak.gr advisory] · [https://wiki.ellak.gr wiki]<br /> * '''Εκπαίδευση''': [https://edu.ellak.gr edu] · [https://elearn.ellak.gr elearn] · [https://robotics.ellak.gr robotics] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] · [https://mathe.ellak.gr mathe]<br /> * '''Περιεχόμενο / Δεδομένα''': [https://mycontent.ellak.gr mycontent] · [https://creativecommons.gr creativecommons] · [https://odi.ellak.gr odi] · [https://opendata.ellak.gr opendata] · [https://openstandards.ellak.gr openstandards] · [http://repository.ellak.gr repository]<br /> * '''Δημόσιος Τομέας &amp; Πόλεις''': [https://opengov.ellak.gr opengov] · [https://smartcities.ellak.gr smartcities] · [https://el.diadikasies.gr diadikasies] · [https://obs.ellak.gr obs]<br /> * '''Υποδομές &amp; Κοινότητα''': [https://github.com/eellak github] · [https://opensource.ellak.gr opensource] · [https://glossapi.gr glossapi] · [https://openhardware.ellak.gr openhardware] · [https://opendesign.ellak.gr opendesign] · [https://openwifi.gr openwifi] · [https://openedtech.ellak.gr openedtech] · [https://planet.ellak.gr planet] · [https://newsletters.ellak.gr newsletters] · [https://lists.ellak.gr lists]<br /> <br /> <br /> <br /> ---<br /> <br /> == 📝 Οδηγίες για Blogs Δράσεων &amp; Ομάδων Εργασίας == <br /> <br /> [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Δείτε εδώ αναλυτικές οδηγίες] <br /> για τη δημοσίευση άρθρων στις σελίδες δράσεων και στα blogs των ομάδων εργασίας.<br /> <br /> ---<br /> <br /> == 🌐 Ιστοσελίδες Δράσεων του Οργανισμού(EΕΛ/ΛΑΚ) == <br /> <br /> * [https://ellak.gr/ Το κεντρικό site για το ΕΛ/ΛΑΚ] — Αναδημοσιεύονται αυτόματα όλα τα άρθρα από όλους τους δικτυακούς τόπους της ΕΕΛΛΑΚ.<br /> * [https://ellak.gr/ Οργανισμός Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ)] — Ο εταιρικός δικτυακός τόπος.<br /> {| class=&quot;wikitable&quot; style=&quot;width:40%; background:#f5faff; border:1px solid #a3c1ff;&quot;<br /> |-<br /> ! style=&quot;background:#dbe8ff; text-align:center;&quot; | '''Μέσα Κοινωνικής Δικτύωσης ΕΕΛΛΑΚ'''<br /> |-<br /> | <br /> * LinkedIn: [https://www.linkedin.com/in/gfoss/ eellak] <br /> * Facebook: [https://www.facebook.com/eellak eellak] <br /> * Instagram: [https://www.instagram.com/ellak.gr/ eellak] <br /> * BlueSky: [https://bsky.app/profile/eellak.bsky.social eellak] <br /> * Mastodon: [https://mastodon.social/@eellak eellak] <br /> * Twitter/X: [https://twitter.com/eellak @eellak]<br /> |}<br /> <br /> <br /> * [http://gfoss.eu Open Technologies Alliance (GFOSS)] — Αγγλόφωνη παρουσία της ΕΕΛΛΑΚ (Twitter/X: [https://twitter.com/gfoss_en @gfoss_en])<br /> * [https://github.com/eellak github.com/eellak] — Αποθετήριο κώδικα της ΕΕΛΛΑΚ.<br /> * [https://mathe.ellak.gr/ mathe.ellak.gr] — Προώθηση &amp; διάδοση ΕΛ/ΛΑΚ: Ανοιχτό λογισμικό, ανοιχτοί ορίζοντες.<br /> * [https://glossapi.gr/ glossapi.gr] — Open-source toolkit της ΕΕΛΛΑΚ για ανάλυση ελληνικού κειμένου (λογοτεχνία, νομοθεσία, επιστήμη, πολιτισμός).<br /> * [https://opensource.ellak.gr/ opensource.ellak.gr] — Ανοιχτό λογισμικό.<br /> * [https://edu.ellak.gr/ edu.ellak.gr] — Ανοικτές τεχνολογίες στην εκπαίδευση.<br /> * [https://elearn.ellak.gr/ elearn.ellak.gr] — Πλατφόρμα ανοικτού εκπαιδευτικού περιεχομένου.<br /> * [https://openedtech.ellak.gr/ openedtech.ellak.gr] — Πανελλήνιος Διαγωνισμός Ρομποτικής Ανοιχτών Τεχνολογιών.<br /> * [https://scientix.ellak.gr/ scientix.ellak.gr] — Πανελλήνιο Συνέδριο Scientix.<br /> * [https://elearnconf.ellak.gr/ elearnconf.ellak.gr] — Διημερίδα «Η πρόκληση της ανοικτής εκπαίδευσης».<br /> * [https://privacy.ellak.gr/ privacy.ellak.gr] — Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων.<br /> * [https://creativecommons.ellak.gr/ Creative Commons] — Προώθηση των Αδειών Creative Commons.<br /> * Facebook: [https://www.facebook.com/CreativeCommonsGreece CreativeCommonsGreece]<br /> * Twitter/X: [https://twitter.com/cc_greece @cc_greece]<br /> * [https://opengov.ellak.gr/ opengov.ellak.gr] — Προώθηση δράσεων Ανοιχτής Διακυβέρνησης.<br /> * [https://mycontent.ellak.gr/ mycontent.ellak.gr] — Προώθηση ανοικτού περιεχομένου (Wikipedia, OpenStreetMap, OpenGLAM).<br /> * [https://opendata.ellak.gr/ opendata.ellak.gr] — Ανοικτά Δεδομένα.<br /> * [https://openhardware.ellak.gr/ openhardware.ellak.gr] — Προώθηση Ανοικτού Υλισμικού (Hardware).<br /> * [https://openwifi.gr/ openwifi.gr] — Ελεύθερα ασύρματα δίκτυα.<br /> * [https://oer.ellak.gr/ oer.ellak.gr] — Ανοικτό περιεχόμενο στην εκπαίδευση.<br /> * [https://openstandards.ellak.gr/ openstandards.ellak.gr] — Προώθηση Ανοικτών Προτύπων.<br /> * [https://odi.ellak.gr/ odi.ellak.gr] — Open Data Institute – Athens Node.<br /> * [https://obs.ellak.gr/ obs.ellak.gr] — Ανοικτοί Προϋπολογισμοί, Προμήθειες και Συμβάσεις.<br /> * [https://legal.ellak.gr/ legal.ellak.gr] — Νομικά θέματα για ΕΛ/ΛΑΚ και ανοικτές τεχνολογίες.<br /> * [https://smartcities.ellak.gr/ smartcities.ellak.gr] — Έξυπνες πόλεις.<br /> * [https://openbusiness.ellak.gr/ openbusiness.ellak.gr] — Προώθηση της Ανοικτής Επιχειρηματικότητας και Καινοτομίας.<br /> * [https://advisory.ellak.gr/ advisory.ellak.gr] — Δημόσια διαβούλευση για τις δράσεις της ΕΕΛΛΑΚ.<br /> * [https://opendesign.ellak.gr/ opendesign.ellak.gr] — Ανοιχτή σχεδίαση (Open Design).<br /> * [https://ccradio.ellak.gr/ ccradio.ellak.gr] — Μουσικό ραδιόφωνο με άδειες Creative Commons.<br /> * [https://planet.ellak.gr/ planet.ellak.gr] — Συγκεντρωτής δημοσιεύσεων της κοινότητας ΕΛ/ΛΑΚ.<br /> * [http://repository.ellak.gr/ repository.ellak.gr] — Αποθετήριο υλικού έργων, τεκμηρίωσης και δράσεων.<br /> * [https://conferences.ellak.gr/ conferences.ellak.gr] — Οπτικοακουστικό υλικό και παρουσιάσεις από συνέδρια/ημερίδες.<br /> * [https://el.diadikasies.gr/ el.diadikasies.gr] — Wiki υπηρεσιών και διαδικασιών Δημόσιου Τομέα.<br /> ---<br /> <br /> == 👥 Blogs Ομάδων Εργασίας == <br /> <br /> * [https://opengov.ellak.gr opengov.ellak.gr] &amp; [https://opendata.ellak.gr opendata.ellak.gr] — '''Ομάδα Εργασίας για την Ανοικτή Διακυβέρνηση και τα Ανοικτά Δεδομένα'''<br /> * [https://edu.ellak.gr edu.ellak.gr], [https://oer.ellak.gr oer.ellak.gr], [https://elearn.ellak.gr elearn.ellak.gr], [https://openedtech.ellak.gr openedtech.ellak.gr], [https://scientix.ellak.gr scientix.ellak.gr], [https://elearnconf.ellak.gr elearnconf.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτές Τεχνολογίες και Ανοικτό Περιεχόμενο στην Εκπαίδευση'''<br /> * [https://openhardware.ellak.gr openhardware.ellak.gr] &amp; [https://openwifi.ellak.gr openwifi.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτό Σχεδιασμό, Ανοιχτό Υλισμικό και Ασύρματα Δίκτυα'''<br /> * [https://privacy.ellak.gr privacy.ellak.gr] &amp; [https://legal.ellak.gr legal.ellak.gr] — '''Ομάδα Εργασίας για Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων'''<br /> * [https://opensource.ellak.gr opensource.ellak.gr] &amp; [https://openstandards.ellak.gr openstandards.ellak.gr] — '''Ομάδα Εργασίας για Ανοικτό Λογισμικό και Ανοικτά Πρότυπα'''<br /> * [https://openbusiness.ellak.gr openbusiness.ellak.gr] &amp; [https://smartcities.ellak.gr smartcities.ellak.gr] — '''Ομάδα Εργασίας για Καινοτομία, Επιχειρηματικότητα και Έξυπνες Πόλεις'''<br /> <br /> <br /> ---<br /> <br /> == 📚 Δράσεις &amp; Κατηγορίες στο wiki == <br /> <br /> * [[:Κατηγορία:Ομάδες Εργασίας της ΕΕΛ/ΛΑΚ|Ομάδες Εργασίας του Οργανισμού]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9A%CE%B1%CF%84%CE%AC%CE%BB%CE%BF%CE%B3%CE%BF%CF%82_%CE%9A%CE%BF%CE%B9%CE%BD%CE%BF%CF%84%CE%AE%CF%84%CF%89%CE%BD_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CF%8E%CE%BD_%CE%A4%CE%B5%CF%87%CE%BD%CE%BF%CE%BB%CE%BF%CE%B3%CE%B9%CF%8E%CE%BD Κατάλογος Κοινοτήτων Ανοιχτών Τεχνολογιών]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%95%CF%84%CE%B1%CE%B9%CF%81%CE%B5%CE%AF%CE%B5%CF%82_%CF%80%CE%BF%CF%85_%CF%85%CF%80%CE%BF%CF%83%CF%84%CE%B7%CF%81%CE%AF%CE%B6%CE%BF%CF%85%CE%BD_%CE%BB%CF%8D%CF%83%CE%B5%CE%B9%CF%82_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%9B%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CE%BF%CF%8D Εταιρείες που υποστηρίζουν λύσεις Ανοικτού Λογισμικού]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%A0%CE%AF%CE%BD%CE%B1%CE%BA%CE%B1%CF%82_%CE%B9%CF%83%CE%BF%CE%B4%CF%8D%CE%BD%CE%B1%CE%BC%CF%89%CE%BD_%CE%BB%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1 Πίνακας ισοδύναμων λογισμικών ανοιχτού κώδικα]<br /> * [[:Κατηγορία:Προτάσεις Πολιτικής|Προτάσεις Πολιτικής]]<br /> * [[:Κατηγορία:Μελέτες|Μελέτες]] — Σχέση ΕΛ/ΛΑΚ με ανοικτή διακυβέρνηση, εκπαίδευση, κοινότητες, Δημόσιο τομέα, επιχειρήσεις, άδειες.<br /> * [[Κατάλογος Πηγών Ελληνικού Κειμένου]]<br /> * [[Google Summer of Code]] · [[Summer of Code]]<br /> * [[:Κατηγορία:ΠΑΝΟΠΤΗΣ|ΠΑΝΟΠΤΗΣ]] — Άσκηση κυβερνοάμυνας.<br /> * [[:Κατηγορία:Κρυπτογράφηση|Κρυπτογράφηση]] — Άρθρα, εγχειρίδια και how-to για κρυπτογράφηση &amp; ασφάλεια.<br /> * [[:Κατηγορία:Ανοικτά δεδομένα|Ανοικτά δεδομένα]]<br /> * [[:Κατηγορία:Ανοικτή Διακυβέρνηση|Ανοικτή Διακυβέρνηση]]<br /> * [[:Κατηγορία:Ανοικτό Περιεχόμενο|Ανοικτό Περιεχόμενο]]<br /> * [[:Κατηγορία:Εκπαίδευση και ΕΛΛΑΚ‏‎|Εκπαίδευση και ΕΛΛΑΚ]]<br /> * [[:Κατηγορία:Νομικά θέματα ΕΕΛ/ΛΑΚ‏‎|Νομικά θέματα]]<br /> * [[:Κατηγορία:ΕΛΛΑΚ‏‎|ΕΛΛΑΚ]] — Οδηγοί, κατάλογοι κοινοτήτων και εταιρειών.<br /> * [[:Κατηγορία:FABLAB‏‎|FABLAB]]<br /> * [[:Κατηγορία:ΕΕΛ/ΛΑΚ‏‎|Οργανισμός Ανοιχτών Τεχνολογιών ΕΕΛΛΑΚ]] — Καταστατικό, παρουσίαση, δράσεις.<br /> * [[:Κατηγορία:Τεχνικές Προδιαγραφές|Τεχνικές Προδιαγραφές]] — Υποδείγματα.<br /> * [[ΕΤΗΣΙΕΣ ΕΡΕΥΝΕΣ: Πείτε μας τη γνώμη σας για το περιεχόμενο του ενημερωτικού δελτίου της ΕΕΛΛΑΚ]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%94%CF%81%CE%AC%CF%83%CE%B5%CE%B9%CF%82_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1_%CE%B3%CE%B9%CE%B1_%CF%84%CE%B7%CE%BD_%CE%B1%CE%BD%CF%84%CE%B9%CE%BC%CE%B5%CF%84%CF%8E%CF%80%CE%B9%CF%83%CE%B7_%CF%84%CF%89%CE%BD_%CF%83%CF%85%CE%BD%CE%B5%CF%80%CE%B5%CE%B9%CF%89%CE%BD_%CF%84%CE%B7%CF%82_%CF%80%CE%B1%CE%BD%CE%B4%CE%B7%CE%BC%CE%AF%CE%B1%CF%82 Δράσεις ανοιχτού κώδικα για την πανδημία]<br /> <br /> ---<br /> <br /> == ⚙️ Πηγές &amp; Εργαλεία == <br /> <br /> === [https://mathe.ellak.gr/?page_id=135 Πίνακας ισοδύναμων λογισμικών] ===<br /> * [http://directory.fsf.org/wiki/Main_Page Free Software Directory] — Κατάλογος χρήσιμου λογισμικού.<br /> * [https://www.openhub.net/ OpenHub] — Discover, track and compare open source projects.<br /> <br /> ---<br /> <br /> == 🤝 Συμμετοχή == <br /> <br /> * Διαβούλευση: [https://advisory.ellak.gr advisory.ellak.gr]<br /> * Συνεισφορά σε έργα: [https://github.com/eellak GitHub/eellak]<br /> * Οδηγός wiki: [[Οδηγός:Πώς_συμμετέχω_στο_wiki|Πώς συμμετέχω στο wiki]]<br /> <br /> ---<br /> <br /> == ✍️ Οδηγίες για Συντάκτες == <br /> <br /> * Άδειες τεκμηρίωσης: CC BY-SA.<br /> * Σαφείς τίτλοι και σύντομες περιλήψεις.<br /> * Προσθέστε σχετικές κατηγορίες σε κάθε άρθρο που προτείνετε για δημοσίευση.<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Οδηγίες: πώς να καταχωρείτε άρθρα στις σελίδες δράσεων και τα blogs ομάδων εργασίας]<br /> <br /> ---<br /> <br /> == 💬 Επικοινωνία &amp; Προτάσεις == <br /> <br /> Για προτάσεις βελτίωσης ή θέματα διαβούλευσης, επικοινωνήστε μέσω της φόρμας: <br /> ➡️ [https://ellak.gr/pite-mas-ti-gnomi-sas/ Πείτε μας τη γνώμη σας]<br /> <br /> ''Τελευταία επιμέλεια σελίδας: 04/11/2025'' <br /> <br /> [[Κατηγορία:ΕΕΛΛΑΚ]] [[Κατηγορία:Αρχική σελίδα]] [[Κατηγορία:Τεκμηρίωση]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%91%CF%81%CF%87%CE%B9%CE%BA%CE%AE_%CF%83%CE%B5%CE%BB%CE%AF%CE%B4%CE%B1&diff=2459 2025-11-04T13:02:18Z

<p>Pkst: </p> <hr /> <div>= Καλώς ήλθατε στο wiki του Οργανισμού Ανοιχτών Τεχνολογιών ('''ΕΕΛΛΑΚ''') = <br /> <br /> Καλώς ήλθατε στο '''κεντρικό wiki τεκμηρίωσης ''' του Οργανισμού Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ). <br /> Εδώ θα βρείτε οδηγούς, διαδικασίες, τεκμηρίωση και υλικό για: '''Ελεύθερο / Λογισμικό Ανοιχτού Κώδικα (ΕΛ/ΛΑΚ) ''', '''Ανοικτά Δεδομένα ''', '''Ανοικτό Περιεχόμενο '''και '''Ανοικτές Τεχνολογίες '''.<br /> <br /> ➡️ [https://ellak.gr/wiki/ Πρόσβαση στο wiki της ΕΕΛΛΑΚ]<br /> <br /> __TOC__<br /> <br /> ---<br /> <br /> == 🔗 Γρήγορη Πλοήγηση == <br /> <br /> * '''Κεντρικά''': [http://eellak.gr eellak.gr] · [http://gfoss.eu gfoss.eu] · [https://advisory.ellak.gr advisory] · [https://wiki.ellak.gr wiki]<br /> * '''Εκπαίδευση''': [https://edu.ellak.gr edu] · [https://elearn.ellak.gr elearn] · [https://robotics.ellak.gr robotics] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] · [https://mathe.ellak.gr mathe]<br /> * '''Περιεχόμενο / Δεδομένα''': [https://mycontent.ellak.gr mycontent] · [https://creativecommons.gr creativecommons] · [https://odi.ellak.gr odi] · [https://opendata.ellak.gr opendata] · [https://openstandards.ellak.gr openstandards] · [http://repository.ellak.gr repository]<br /> * '''Δημόσιος Τομέας &amp; Πόλεις''': [https://opengov.ellak.gr opengov] · [https://smartcities.ellak.gr smartcities] · [https://el.diadikasies.gr diadikasies] · [https://obs.ellak.gr obs]<br /> * '''Υποδομές &amp; Κοινότητα''': [https://github.com/eellak github] · [https://opensource.ellak.gr opensource] · [https://glossapi.gr glossapi] · [https://openhardware.ellak.gr openhardware] · [https://opendesign.ellak.gr opendesign] · [https://openwifi.gr openwifi] · [https://openedtech.ellak.gr openedtech] · [https://planet.ellak.gr planet] · [https://newsletters.ellak.gr newsletters] · [https://lists.ellak.gr lists]<br /> <br /> <br /> <br /> ---<br /> <br /> == 📝 Οδηγίες για Blogs Δράσεων &amp; Ομάδων Εργασίας == <br /> <br /> [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Δείτε εδώ αναλυτικές οδηγίες] <br /> για τη δημοσίευση άρθρων στις σελίδες δράσεων και στα blogs των ομάδων εργασίας.<br /> <br /> ---<br /> <br /> == 🌐 Ιστοσελίδες Δράσεων του Οργανισμού(EΕΛ/ΛΑΚ) == <br /> <br /> * [https://ellak.gr/ Το κεντρικό site για το ΕΛ/ΛΑΚ] — Αναδημοσιεύονται αυτόματα όλα τα άρθρα από όλους τους δικτυακούς τόπους της ΕΕΛΛΑΚ.<br /> * [https://ellak.gr/ Οργανισμός Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ)] — Ο εταιρικός δικτυακός τόπος.<br /> * LinkedIn: [https://www.linkedin.com/in/gfoss/ eellak]<br /> * Facebook: [https://www.facebook.com/eellak eellak]<br /> * Instagram: [https://www.instagram.com/ellak.gr/ eellak]<br /> * BlueSky: [https://bsky.app/profile/eellak.bsky.social eellak]<br /> * Mastodon: [https://mastodon.social/@eellak eellak]<br /> * Twitter/X: [https://twitter.com/eellak @eellak]<br /> * [http://gfoss.eu Open Technologies Alliance (GFOSS)] — Αγγλόφωνη παρουσία της ΕΕΛΛΑΚ (Twitter/X: [https://twitter.com/gfoss_en @gfoss_en])<br /> * [https://github.com/eellak github.com/eellak] — Αποθετήριο κώδικα της ΕΕΛΛΑΚ.<br /> * [https://mathe.ellak.gr/ mathe.ellak.gr] — Προώθηση &amp; διάδοση ΕΛ/ΛΑΚ: Ανοιχτό λογισμικό, ανοιχτοί ορίζοντες.<br /> * [https://glossapi.gr/ glossapi.gr] — Open-source toolkit της ΕΕΛΛΑΚ για ανάλυση ελληνικού κειμένου (λογοτεχνία, νομοθεσία, επιστήμη, πολιτισμός).<br /> * [https://opensource.ellak.gr/ opensource.ellak.gr] — Ανοιχτό λογισμικό.<br /> * [https://edu.ellak.gr/ edu.ellak.gr] — Ανοικτές τεχνολογίες στην εκπαίδευση.<br /> * [https://elearn.ellak.gr/ elearn.ellak.gr] — Πλατφόρμα ανοικτού εκπαιδευτικού περιεχομένου.<br /> * [https://openedtech.ellak.gr/ openedtech.ellak.gr] — Πανελλήνιος Διαγωνισμός Ρομποτικής Ανοιχτών Τεχνολογιών.<br /> * [https://scientix.ellak.gr/ scientix.ellak.gr] — Πανελλήνιο Συνέδριο Scientix.<br /> * [https://elearnconf.ellak.gr/ elearnconf.ellak.gr] — Διημερίδα «Η πρόκληση της ανοικτής εκπαίδευσης».<br /> * [https://privacy.ellak.gr/ privacy.ellak.gr] — Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων.<br /> * [https://creativecommons.ellak.gr/ Creative Commons] — Προώθηση των Αδειών Creative Commons.<br /> * Facebook: [https://www.facebook.com/CreativeCommonsGreece CreativeCommonsGreece]<br /> * Twitter/X: [https://twitter.com/cc_greece @cc_greece]<br /> * [https://opengov.ellak.gr/ opengov.ellak.gr] — Προώθηση δράσεων Ανοιχτής Διακυβέρνησης.<br /> * [https://mycontent.ellak.gr/ mycontent.ellak.gr] — Προώθηση ανοικτού περιεχομένου (Wikipedia, OpenStreetMap, OpenGLAM).<br /> * [https://opendata.ellak.gr/ opendata.ellak.gr] — Ανοικτά Δεδομένα.<br /> * [https://openhardware.ellak.gr/ openhardware.ellak.gr] — Προώθηση Ανοικτού Υλισμικού (Hardware).<br /> * [https://openwifi.gr/ openwifi.gr] — Ελεύθερα ασύρματα δίκτυα.<br /> * [https://oer.ellak.gr/ oer.ellak.gr] — Ανοικτό περιεχόμενο στην εκπαίδευση.<br /> * [https://openstandards.ellak.gr/ openstandards.ellak.gr] — Προώθηση Ανοικτών Προτύπων.<br /> * [https://odi.ellak.gr/ odi.ellak.gr] — Open Data Institute – Athens Node.<br /> * [https://obs.ellak.gr/ obs.ellak.gr] — Ανοικτοί Προϋπολογισμοί, Προμήθειες και Συμβάσεις.<br /> * [https://legal.ellak.gr/ legal.ellak.gr] — Νομικά θέματα για ΕΛ/ΛΑΚ και ανοικτές τεχνολογίες.<br /> * [https://smartcities.ellak.gr/ smartcities.ellak.gr] — Έξυπνες πόλεις.<br /> * [https://openbusiness.ellak.gr/ openbusiness.ellak.gr] — Προώθηση της Ανοικτής Επιχειρηματικότητας και Καινοτομίας.<br /> * [https://advisory.ellak.gr/ advisory.ellak.gr] — Δημόσια διαβούλευση για τις δράσεις της ΕΕΛΛΑΚ.<br /> * [https://opendesign.ellak.gr/ opendesign.ellak.gr] — Ανοιχτή σχεδίαση (Open Design).<br /> * [https://ccradio.ellak.gr/ ccradio.ellak.gr] — Μουσικό ραδιόφωνο με άδειες Creative Commons.<br /> * [https://planet.ellak.gr/ planet.ellak.gr] — Συγκεντρωτής δημοσιεύσεων της κοινότητας ΕΛ/ΛΑΚ.<br /> * [http://repository.ellak.gr/ repository.ellak.gr] — Αποθετήριο υλικού έργων, τεκμηρίωσης και δράσεων.<br /> * [https://conferences.ellak.gr/ conferences.ellak.gr] — Οπτικοακουστικό υλικό και παρουσιάσεις από συνέδρια/ημερίδες.<br /> * [https://el.diadikasies.gr/ el.diadikasies.gr] — Wiki υπηρεσιών και διαδικασιών Δημόσιου Τομέα.<br /> ---<br /> <br /> == 👥 Blogs Ομάδων Εργασίας == <br /> <br /> * [https://opengov.ellak.gr opengov.ellak.gr] &amp; [https://opendata.ellak.gr opendata.ellak.gr] — '''Ομάδα Εργασίας για την Ανοικτή Διακυβέρνηση και τα Ανοικτά Δεδομένα'''<br /> * [https://edu.ellak.gr edu.ellak.gr], [https://oer.ellak.gr oer.ellak.gr], [https://elearn.ellak.gr elearn.ellak.gr], [https://openedtech.ellak.gr openedtech.ellak.gr], [https://scientix.ellak.gr scientix.ellak.gr], [https://elearnconf.ellak.gr elearnconf.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτές Τεχνολογίες και Ανοικτό Περιεχόμενο στην Εκπαίδευση'''<br /> * [https://openhardware.ellak.gr openhardware.ellak.gr] &amp; [https://openwifi.ellak.gr openwifi.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτό Σχεδιασμό, Ανοιχτό Υλισμικό και Ασύρματα Δίκτυα'''<br /> * [https://privacy.ellak.gr privacy.ellak.gr] &amp; [https://legal.ellak.gr legal.ellak.gr] — '''Ομάδα Εργασίας για Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων'''<br /> * [https://opensource.ellak.gr opensource.ellak.gr] &amp; [https://openstandards.ellak.gr openstandards.ellak.gr] — '''Ομάδα Εργασίας για Ανοικτό Λογισμικό και Ανοικτά Πρότυπα'''<br /> * [https://openbusiness.ellak.gr openbusiness.ellak.gr] &amp; [https://smartcities.ellak.gr smartcities.ellak.gr] — '''Ομάδα Εργασίας για Καινοτομία, Επιχειρηματικότητα και Έξυπνες Πόλεις'''<br /> <br /> <br /> ---<br /> <br /> == 📚 Δράσεις &amp; Κατηγορίες στο wiki == <br /> <br /> * [[:Κατηγορία:Ομάδες Εργασίας της ΕΕΛ/ΛΑΚ|Ομάδες Εργασίας του Οργανισμού]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9A%CE%B1%CF%84%CE%AC%CE%BB%CE%BF%CE%B3%CE%BF%CF%82_%CE%9A%CE%BF%CE%B9%CE%BD%CE%BF%CF%84%CE%AE%CF%84%CF%89%CE%BD_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CF%8E%CE%BD_%CE%A4%CE%B5%CF%87%CE%BD%CE%BF%CE%BB%CE%BF%CE%B3%CE%B9%CF%8E%CE%BD Κατάλογος Κοινοτήτων Ανοιχτών Τεχνολογιών]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%95%CF%84%CE%B1%CE%B9%CF%81%CE%B5%CE%AF%CE%B5%CF%82_%CF%80%CE%BF%CF%85_%CF%85%CF%80%CE%BF%CF%83%CF%84%CE%B7%CF%81%CE%AF%CE%B6%CE%BF%CF%85%CE%BD_%CE%BB%CF%8D%CF%83%CE%B5%CE%B9%CF%82_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%9B%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CE%BF%CF%8D Εταιρείες που υποστηρίζουν λύσεις Ανοικτού Λογισμικού]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%A0%CE%AF%CE%BD%CE%B1%CE%BA%CE%B1%CF%82_%CE%B9%CF%83%CE%BF%CE%B4%CF%8D%CE%BD%CE%B1%CE%BC%CF%89%CE%BD_%CE%BB%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1 Πίνακας ισοδύναμων λογισμικών ανοιχτού κώδικα]<br /> * [[:Κατηγορία:Προτάσεις Πολιτικής|Προτάσεις Πολιτικής]]<br /> * [[:Κατηγορία:Μελέτες|Μελέτες]] — Σχέση ΕΛ/ΛΑΚ με ανοικτή διακυβέρνηση, εκπαίδευση, κοινότητες, Δημόσιο τομέα, επιχειρήσεις, άδειες.<br /> * [[Κατάλογος Πηγών Ελληνικού Κειμένου]]<br /> * [[Google Summer of Code]] · [[Summer of Code]]<br /> * [[:Κατηγορία:ΠΑΝΟΠΤΗΣ|ΠΑΝΟΠΤΗΣ]] — Άσκηση κυβερνοάμυνας.<br /> * [[:Κατηγορία:Κρυπτογράφηση|Κρυπτογράφηση]] — Άρθρα, εγχειρίδια και how-to για κρυπτογράφηση &amp; ασφάλεια.<br /> * [[:Κατηγορία:Ανοικτά δεδομένα|Ανοικτά δεδομένα]]<br /> * [[:Κατηγορία:Ανοικτή Διακυβέρνηση|Ανοικτή Διακυβέρνηση]]<br /> * [[:Κατηγορία:Ανοικτό Περιεχόμενο|Ανοικτό Περιεχόμενο]]<br /> * [[:Κατηγορία:Εκπαίδευση και ΕΛΛΑΚ‏‎|Εκπαίδευση και ΕΛΛΑΚ]]<br /> * [[:Κατηγορία:Νομικά θέματα ΕΕΛ/ΛΑΚ‏‎|Νομικά θέματα]]<br /> * [[:Κατηγορία:ΕΛΛΑΚ‏‎|ΕΛΛΑΚ]] — Οδηγοί, κατάλογοι κοινοτήτων και εταιρειών.<br /> * [[:Κατηγορία:FABLAB‏‎|FABLAB]]<br /> * [[:Κατηγορία:ΕΕΛ/ΛΑΚ‏‎|Οργανισμός Ανοιχτών Τεχνολογιών ΕΕΛΛΑΚ]] — Καταστατικό, παρουσίαση, δράσεις.<br /> * [[:Κατηγορία:Τεχνικές Προδιαγραφές|Τεχνικές Προδιαγραφές]] — Υποδείγματα.<br /> * [[ΕΤΗΣΙΕΣ ΕΡΕΥΝΕΣ: Πείτε μας τη γνώμη σας για το περιεχόμενο του ενημερωτικού δελτίου της ΕΕΛΛΑΚ]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%94%CF%81%CE%AC%CF%83%CE%B5%CE%B9%CF%82_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1_%CE%B3%CE%B9%CE%B1_%CF%84%CE%B7%CE%BD_%CE%B1%CE%BD%CF%84%CE%B9%CE%BC%CE%B5%CF%84%CF%8E%CF%80%CE%B9%CF%83%CE%B7_%CF%84%CF%89%CE%BD_%CF%83%CF%85%CE%BD%CE%B5%CF%80%CE%B5%CE%B9%CF%89%CE%BD_%CF%84%CE%B7%CF%82_%CF%80%CE%B1%CE%BD%CE%B4%CE%B7%CE%BC%CE%AF%CE%B1%CF%82 Δράσεις ανοιχτού κώδικα για την πανδημία]<br /> <br /> ---<br /> <br /> == ⚙️ Πηγές &amp; Εργαλεία == <br /> <br /> === [https://mathe.ellak.gr/?page_id=135 Πίνακας ισοδύναμων λογισμικών] ===<br /> * [http://directory.fsf.org/wiki/Main_Page Free Software Directory] — Κατάλογος χρήσιμου λογισμικού.<br /> * [https://www.openhub.net/ OpenHub] — Discover, track and compare open source projects.<br /> <br /> ---<br /> <br /> == 🤝 Συμμετοχή == <br /> <br /> * Διαβούλευση: [https://advisory.ellak.gr advisory.ellak.gr]<br /> * Συνεισφορά σε έργα: [https://github.com/eellak GitHub/eellak]<br /> * Οδηγός wiki: [[Οδηγός:Πώς_συμμετέχω_στο_wiki|Πώς συμμετέχω στο wiki]]<br /> <br /> ---<br /> <br /> == ✍️ Οδηγίες για Συντάκτες == <br /> <br /> * Άδειες τεκμηρίωσης: CC BY-SA.<br /> * Σαφείς τίτλοι και σύντομες περιλήψεις.<br /> * Προσθέστε σχετικές κατηγορίες σε κάθε άρθρο που προτείνετε για δημοσίευση.<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Οδηγίες: πώς να καταχωρείτε άρθρα στις σελίδες δράσεων και τα blogs ομάδων εργασίας]<br /> <br /> ---<br /> <br /> == 💬 Επικοινωνία &amp; Προτάσεις == <br /> <br /> Για προτάσεις βελτίωσης ή θέματα διαβούλευσης, επικοινωνήστε μέσω της φόρμας: <br /> ➡️ [https://ellak.gr/pite-mas-ti-gnomi-sas/ Πείτε μας τη γνώμη σας]<br /> <br /> ''Τελευταία επιμέλεια σελίδας: 04/11/2025'' <br /> <br /> [[Κατηγορία:ΕΕΛΛΑΚ]] [[Κατηγορία:Αρχική σελίδα]] [[Κατηγορία:Τεκμηρίωση]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%91%CF%81%CF%87%CE%B9%CE%BA%CE%AE_%CF%83%CE%B5%CE%BB%CE%AF%CE%B4%CE%B1&diff=2458 2025-11-04T12:50:40Z

<p>Pkst: </p> <hr /> <div>= Καλώς ήλθατε στο wiki του Οργανισμού Ανοιχτών Τεχνολογιών ('''ΕΕΛΛΑΚ''') = <br /> <br /> Καλώς ήλθατε στο '''κεντρικό wiki τεκμηρίωσης ''' του Οργανισμού Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ). <br /> Εδώ θα βρείτε οδηγούς, διαδικασίες, τεκμηρίωση και υλικό για: '''Ελεύθερο / Λογισμικό Ανοιχτού Κώδικα (ΕΛ/ΛΑΚ) ''', '''Ανοικτά Δεδομένα ''', '''Ανοικτό Περιεχόμενο '''και '''Ανοικτές Τεχνολογίες '''.<br /> <br /> ➡️ [https://ellak.gr/wiki/ Πρόσβαση στο wiki της ΕΕΛΛΑΚ]<br /> <br /> __TOC__<br /> <br /> ---<br /> <br /> == 🔗 Γρήγορη Πλοήγηση == <br /> <br /> * '''Κεντρικά''': [http://eellak.gr eellak.gr] · [http://gfoss.eu gfoss.eu] · [https://advisory.ellak.gr advisory] · [https://wiki.ellak.gr wiki]<br /> * '''Εκπαίδευση''': [https://edu.ellak.gr edu] · [https://elearn.ellak.gr elearn] · [https://robotics.ellak.gr robotics] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] · [https://mathe.ellak.gr mathe]<br /> * '''Περιεχόμενο / Δεδομένα''': [https://mycontent.ellak.gr mycontent] · [https://creativecommons.gr creativecommons] · [https://odi.ellak.gr odi] · [https://opendata.ellak.gr opendata] · [https://openstandards.ellak.gr openstandards] · [http://repository.ellak.gr repository]<br /> * '''Δημόσιος Τομέας &amp; Πόλεις''': [https://opengov.ellak.gr opengov] · [https://smartcities.ellak.gr smartcities] · [https://el.diadikasies.gr diadikasies] · [https://obs.ellak.gr obs]<br /> * '''Υποδομές &amp; Κοινότητα''': [https://github.com/eellak github] · [https://opensource.ellak.gr opensource] · [https://glossapi.gr glossapi] · [https://openhardware.ellak.gr openhardware] · [https://opendesign.ellak.gr opendesign] · [https://openwifi.gr openwifi] · [https://openedtech.ellak.gr openedtech] · [https://planet.ellak.gr planet] · [https://newsletters.ellak.gr newsletters] · [https://lists.ellak.gr lists]<br /> <br /> <br /> <br /> ---<br /> <br /> == 📝 Οδηγίες για Blogs Δράσεων &amp; Ομάδων Εργασίας == <br /> <br /> [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Δείτε εδώ αναλυτικές οδηγίες] <br /> για τη δημοσίευση άρθρων στις σελίδες δράσεων και στα blogs των ομάδων εργασίας.<br /> <br /> ---<br /> <br /> == 🌐 Ιστοσελίδες Δράσεων του Οργανισμού(EΕΛ/ΛΑΚ) == <br /> <br /> * [https://ellak.gr/ Το κεντρικό site για το ΕΛ/ΛΑΚ] — Αναδημοσιεύονται αυτόματα όλα τα άρθρα από όλους τους δικτυακούς τόπους της ΕΕΛΛΑΚ.<br /> * [https://ellak.gr/ Οργανισμός Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ)] — Ο εταιρικός δικτυακός τόπος.<br /> * LinkedIn: [https://www.linkedin.com/company/77332669/admin/dashboard/ eellak]<br /> * Facebook: [https://www.facebook.com/eellak eellak]<br /> * Instagram: [https://www.instagram.com/ellak.gr/ eellak]<br /> * BlueSky: [https://bsky.app/profile/tgkarounos.bsky.social eellak]<br /> * Mastodon: [https://fosstodon.org/deck/@eellak@mastodon.social eellak]<br /> * Twitter/X: [https://twitter.com/eellak @eellak]<br /> * [http://gfoss.eu Open Technologies Alliance (GFOSS)] — Αγγλόφωνη παρουσία της ΕΕΛΛΑΚ (Twitter/X: [https://twitter.com/gfoss_en @gfoss_en])<br /> * [https://github.com/eellak github.com/eellak] — Αποθετήριο κώδικα της ΕΕΛΛΑΚ.<br /> * [https://mathe.ellak.gr/ mathe.ellak.gr] — Προώθηση &amp; διάδοση ΕΛ/ΛΑΚ: Ανοιχτό λογισμικό, ανοιχτοί ορίζοντες.<br /> * [https://glossapi.gr/ glossapi.gr] — Open-source toolkit της ΕΕΛΛΑΚ για ανάλυση ελληνικού κειμένου (λογοτεχνία, νομοθεσία, επιστήμη, πολιτισμός).<br /> * [https://opensource.ellak.gr/ opensource.ellak.gr] — Ανοιχτό λογισμικό.<br /> * [https://edu.ellak.gr/ edu.ellak.gr] — Ανοικτές τεχνολογίες στην εκπαίδευση.<br /> * [https://elearn.ellak.gr/ elearn.ellak.gr] — Πλατφόρμα ανοικτού εκπαιδευτικού περιεχομένου.<br /> * [https://openedtech.ellak.gr/ openedtech.ellak.gr] — Πανελλήνιος Διαγωνισμός Ρομποτικής Ανοιχτών Τεχνολογιών.<br /> * [https://scientix.ellak.gr/ scientix.ellak.gr] — Πανελλήνιο Συνέδριο Scientix.<br /> * [https://elearnconf.ellak.gr/ elearnconf.ellak.gr] — Διημερίδα «Η πρόκληση της ανοικτής εκπαίδευσης».<br /> * [https://privacy.ellak.gr/ privacy.ellak.gr] — Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων.<br /> * [https://creativecommons.ellak.gr/ Creative Commons] — Προώθηση των Αδειών Creative Commons.<br /> * Facebook: [https://www.facebook.com/CreativeCommonsGreece CreativeCommonsGreece]<br /> * Twitter/X: [https://twitter.com/cc_greece @cc_greece]<br /> * [https://opengov.ellak.gr/ opengov.ellak.gr] — Προώθηση δράσεων Ανοιχτής Διακυβέρνησης.<br /> * [https://mycontent.ellak.gr/ mycontent.ellak.gr] — Προώθηση ανοικτού περιεχομένου (Wikipedia, OpenStreetMap, OpenGLAM).<br /> * [https://opendata.ellak.gr/ opendata.ellak.gr] — Ανοικτά Δεδομένα.<br /> * [https://openhardware.ellak.gr/ openhardware.ellak.gr] — Προώθηση Ανοικτού Υλισμικού (Hardware).<br /> * [https://openwifi.gr/ openwifi.gr] — Ελεύθερα ασύρματα δίκτυα.<br /> * [https://oer.ellak.gr/ oer.ellak.gr] — Ανοικτό περιεχόμενο στην εκπαίδευση.<br /> * [https://openstandards.ellak.gr/ openstandards.ellak.gr] — Προώθηση Ανοικτών Προτύπων.<br /> * [https://odi.ellak.gr/ odi.ellak.gr] — Open Data Institute – Athens Node.<br /> * [https://obs.ellak.gr/ obs.ellak.gr] — Ανοικτοί Προϋπολογισμοί, Προμήθειες και Συμβάσεις.<br /> * [https://legal.ellak.gr/ legal.ellak.gr] — Νομικά θέματα για ΕΛ/ΛΑΚ και ανοικτές τεχνολογίες.<br /> * [https://smartcities.ellak.gr/ smartcities.ellak.gr] — Έξυπνες πόλεις.<br /> * [https://openbusiness.ellak.gr/ openbusiness.ellak.gr] — Προώθηση της Ανοικτής Επιχειρηματικότητας και Καινοτομίας.<br /> * [https://advisory.ellak.gr/ advisory.ellak.gr] — Δημόσια διαβούλευση για τις δράσεις της ΕΕΛΛΑΚ.<br /> * [https://opendesign.ellak.gr/ opendesign.ellak.gr] — Ανοιχτή σχεδίαση (Open Design).<br /> * [https://ccradio.ellak.gr/ ccradio.ellak.gr] — Μουσικό ραδιόφωνο με άδειες Creative Commons.<br /> * [https://planet.ellak.gr/ planet.ellak.gr] — Συγκεντρωτής δημοσιεύσεων της κοινότητας ΕΛ/ΛΑΚ.<br /> * [http://repository.ellak.gr/ repository.ellak.gr] — Αποθετήριο υλικού έργων, τεκμηρίωσης και δράσεων.<br /> * [https://conferences.ellak.gr/ conferences.ellak.gr] — Οπτικοακουστικό υλικό και παρουσιάσεις από συνέδρια/ημερίδες.<br /> * [https://el.diadikasies.gr/ el.diadikasies.gr] — Wiki υπηρεσιών και διαδικασιών Δημόσιου Τομέα.<br /> ---<br /> <br /> == 👥 Blogs Ομάδων Εργασίας == <br /> <br /> * [https://opengov.ellak.gr opengov.ellak.gr] &amp; [https://opendata.ellak.gr opendata.ellak.gr] — '''Ομάδα Εργασίας για την Ανοικτή Διακυβέρνηση και τα Ανοικτά Δεδομένα'''<br /> * [https://edu.ellak.gr edu.ellak.gr], [https://oer.ellak.gr oer.ellak.gr], [https://elearn.ellak.gr elearn.ellak.gr], [https://openedtech.ellak.gr openedtech.ellak.gr], [https://scientix.ellak.gr scientix.ellak.gr], [https://elearnconf.ellak.gr elearnconf.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτές Τεχνολογίες και Ανοικτό Περιεχόμενο στην Εκπαίδευση'''<br /> * [https://openhardware.ellak.gr openhardware.ellak.gr] &amp; [https://openwifi.ellak.gr openwifi.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτό Σχεδιασμό, Ανοιχτό Υλισμικό και Ασύρματα Δίκτυα'''<br /> * [https://privacy.ellak.gr privacy.ellak.gr] &amp; [https://legal.ellak.gr legal.ellak.gr] — '''Ομάδα Εργασίας για Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων'''<br /> * [https://opensource.ellak.gr opensource.ellak.gr] &amp; [https://openstandards.ellak.gr openstandards.ellak.gr] — '''Ομάδα Εργασίας για Ανοικτό Λογισμικό και Ανοικτά Πρότυπα'''<br /> * [https://openbusiness.ellak.gr openbusiness.ellak.gr] &amp; [https://smartcities.ellak.gr smartcities.ellak.gr] — '''Ομάδα Εργασίας για Καινοτομία, Επιχειρηματικότητα και Έξυπνες Πόλεις'''<br /> <br /> <br /> ---<br /> <br /> == 📚 Δράσεις &amp; Κατηγορίες στο wiki == <br /> <br /> * [[:Κατηγορία:Ομάδες Εργασίας της ΕΕΛ/ΛΑΚ|Ομάδες Εργασίας του Οργανισμού]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9A%CE%B1%CF%84%CE%AC%CE%BB%CE%BF%CE%B3%CE%BF%CF%82_%CE%9A%CE%BF%CE%B9%CE%BD%CE%BF%CF%84%CE%AE%CF%84%CF%89%CE%BD_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CF%8E%CE%BD_%CE%A4%CE%B5%CF%87%CE%BD%CE%BF%CE%BB%CE%BF%CE%B3%CE%B9%CF%8E%CE%BD Κατάλογος Κοινοτήτων Ανοιχτών Τεχνολογιών]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%95%CF%84%CE%B1%CE%B9%CF%81%CE%B5%CE%AF%CE%B5%CF%82_%CF%80%CE%BF%CF%85_%CF%85%CF%80%CE%BF%CF%83%CF%84%CE%B7%CF%81%CE%AF%CE%B6%CE%BF%CF%85%CE%BD_%CE%BB%CF%8D%CF%83%CE%B5%CE%B9%CF%82_%CE%91%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%9B%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CE%BF%CF%8D Εταιρείες που υποστηρίζουν λύσεις Ανοικτού Λογισμικού]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%A0%CE%AF%CE%BD%CE%B1%CE%BA%CE%B1%CF%82_%CE%B9%CF%83%CE%BF%CE%B4%CF%8D%CE%BD%CE%B1%CE%BC%CF%89%CE%BD_%CE%BB%CE%BF%CE%B3%CE%B9%CF%83%CE%BC%CE%B9%CE%BA%CF%8E%CE%BD_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1 Πίνακας ισοδύναμων λογισμικών ανοιχτού κώδικα]<br /> * [[:Κατηγορία:Προτάσεις Πολιτικής|Προτάσεις Πολιτικής]]<br /> * [[:Κατηγορία:Μελέτες|Μελέτες]] — Σχέση ΕΛ/ΛΑΚ με ανοικτή διακυβέρνηση, εκπαίδευση, κοινότητες, Δημόσιο τομέα, επιχειρήσεις, άδειες.<br /> * [[Κατάλογος Πηγών Ελληνικού Κειμένου]]<br /> * [[Google Summer of Code]] · [[Summer of Code]]<br /> * [[:Κατηγορία:ΠΑΝΟΠΤΗΣ|ΠΑΝΟΠΤΗΣ]] — Άσκηση κυβερνοάμυνας.<br /> * [[:Κατηγορία:Κρυπτογράφηση|Κρυπτογράφηση]] — Άρθρα, εγχειρίδια και how-to για κρυπτογράφηση &amp; ασφάλεια.<br /> * [[:Κατηγορία:Ανοικτά δεδομένα|Ανοικτά δεδομένα]]<br /> * [[:Κατηγορία:Ανοικτή Διακυβέρνηση|Ανοικτή Διακυβέρνηση]]<br /> * [[:Κατηγορία:Ανοικτό Περιεχόμενο|Ανοικτό Περιεχόμενο]]<br /> * [[:Κατηγορία:Εκπαίδευση και ΕΛΛΑΚ‏‎|Εκπαίδευση και ΕΛΛΑΚ]]<br /> * [[:Κατηγορία:Νομικά θέματα ΕΕΛ/ΛΑΚ‏‎|Νομικά θέματα]]<br /> * [[:Κατηγορία:ΕΛΛΑΚ‏‎|ΕΛΛΑΚ]] — Οδηγοί, κατάλογοι κοινοτήτων και εταιρειών.<br /> * [[:Κατηγορία:FABLAB‏‎|FABLAB]]<br /> * [[:Κατηγορία:ΕΕΛ/ΛΑΚ‏‎|Οργανισμός Ανοιχτών Τεχνολογιών ΕΕΛΛΑΚ]] — Καταστατικό, παρουσίαση, δράσεις.<br /> * [[:Κατηγορία:Τεχνικές Προδιαγραφές|Τεχνικές Προδιαγραφές]] — Υποδείγματα.<br /> * [[ΕΤΗΣΙΕΣ ΕΡΕΥΝΕΣ: Πείτε μας τη γνώμη σας για το περιεχόμενο του ενημερωτικού δελτίου της ΕΕΛΛΑΚ]]<br /> * [https://ellak.gr/wiki/index.php?title=%CE%94%CF%81%CE%AC%CF%83%CE%B5%CE%B9%CF%82_%CE%B1%CE%BD%CE%BF%CE%B9%CF%87%CF%84%CE%BF%CF%8D_%CE%BA%CF%8E%CE%B4%CE%B9%CE%BA%CE%B1_%CE%B3%CE%B9%CE%B1_%CF%84%CE%B7%CE%BD_%CE%B1%CE%BD%CF%84%CE%B9%CE%BC%CE%B5%CF%84%CF%8E%CF%80%CE%B9%CF%83%CE%B7_%CF%84%CF%89%CE%BD_%CF%83%CF%85%CE%BD%CE%B5%CF%80%CE%B5%CE%B9%CF%89%CE%BD_%CF%84%CE%B7%CF%82_%CF%80%CE%B1%CE%BD%CE%B4%CE%B7%CE%BC%CE%AF%CE%B1%CF%82 Δράσεις ανοιχτού κώδικα για την πανδημία]<br /> <br /> ---<br /> <br /> == ⚙️ Πηγές &amp; Εργαλεία == <br /> <br /> === [https://mathe.ellak.gr/?page_id=135 Πίνακας ισοδύναμων λογισμικών] ===<br /> * [http://directory.fsf.org/wiki/Main_Page Free Software Directory] — Κατάλογος χρήσιμου λογισμικού.<br /> * [https://www.openhub.net/ OpenHub] — Discover, track and compare open source projects.<br /> <br /> ---<br /> <br /> == 🤝 Συμμετοχή == <br /> <br /> * Διαβούλευση: [https://advisory.ellak.gr advisory.ellak.gr]<br /> * Συνεισφορά σε έργα: [https://github.com/eellak GitHub/eellak]<br /> * Οδηγός wiki: [[Οδηγός:Πώς_συμμετέχω_στο_wiki|Πώς συμμετέχω στο wiki]]<br /> <br /> ---<br /> <br /> == ✍️ Οδηγίες για Συντάκτες == <br /> <br /> * Άδειες τεκμηρίωσης: CC BY-SA.<br /> * Σαφείς τίτλοι και σύντομες περιλήψεις.<br /> * Προσθέστε σχετικές κατηγορίες σε κάθε άρθρο που προτείνετε για δημοσίευση.<br /> * [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Οδηγίες: πώς να καταχωρείτε άρθρα στις σελίδες δράσεων και τα blogs ομάδων εργασίας]<br /> <br /> ---<br /> <br /> == 💬 Επικοινωνία &amp; Προτάσεις == <br /> <br /> Για προτάσεις βελτίωσης ή θέματα διαβούλευσης, επικοινωνήστε μέσω της φόρμας: <br /> ➡️ [https://ellak.gr/pite-mas-ti-gnomi-sas/ Πείτε μας τη γνώμη σας]<br /> <br /> ''Τελευταία επιμέλεια σελίδας: 04/11/2025'' <br /> <br /> [[Κατηγορία:ΕΕΛΛΑΚ]] [[Κατηγορία:Αρχική σελίδα]] [[Κατηγορία:Τεκμηρίωση]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%91%CF%81%CF%87%CE%B9%CE%BA%CE%AE_%CF%83%CE%B5%CE%BB%CE%AF%CE%B4%CE%B1&diff=2457 2025-11-04T12:44:45Z

<p>Pkst: </p> <hr /> <div>= Καλώς ήλθατε στο wiki του Οργανισμού Ανοιχτών Τεχνολογιών ('''ΕΕΛΛΑΚ''') = <br /> <br /> Καλώς ήλθατε στο '''κεντρικό wiki τεκμηρίωσης ''' του Οργανισμού Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ). <br /> Εδώ θα βρείτε οδηγούς, διαδικασίες, τεκμηρίωση και υλικό για: '''Ελεύθερο / Λογισμικό Ανοιχτού Κώδικα (ΕΛ/ΛΑΚ) ''', '''Ανοικτά Δεδομένα ''', '''Ανοικτό Περιεχόμενο '''και '''Ανοικτές Τεχνολογίες '''.<br /> <br /> ➡️ [https://ellak.gr/wiki/ Πρόσβαση στο wiki της ΕΕΛΛΑΚ]<br /> <br /> __TOC__<br /> <br /> ---<br /> <br /> == 🔗 Γρήγορη Πλοήγηση == <br /> <br /> * '''Κεντρικά''': [http://eellak.gr eellak.gr] · [http://gfoss.eu gfoss.eu] · [https://advisory.ellak.gr advisory] · [https://wiki.ellak.gr wiki]<br /> * '''Εκπαίδευση''': [https://edu.ellak.gr edu] · [https://elearn.ellak.gr elearn] · [https://robotics.ellak.gr robotics] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] · [https://mathe.ellak.gr mathe]<br /> * '''Περιεχόμενο / Δεδομένα''': [https://mycontent.ellak.gr mycontent] · [https://creativecommons.gr creativecommons] · [https://odi.ellak.gr odi] · [https://opendata.ellak.gr opendata] · [https://openstandards.ellak.gr openstandards] · [http://repository.ellak.gr repository]<br /> * '''Δημόσιος Τομέας &amp; Πόλεις''': [https://opengov.ellak.gr opengov] · [https://smartcities.ellak.gr smartcities] · [https://el.diadikasies.gr diadikasies] · [https://obs.ellak.gr obs]<br /> * '''Υποδομές &amp; Κοινότητα''': [https://github.com/eellak github] · [https://opensource.ellak.gr opensource] · [https://glossapi.gr glossapi] · [https://openhardware.ellak.gr openhardware] · [https://opendesign.ellak.gr opendesign] · [https://openwifi.gr openwifi] · [https://openedtech.ellak.gr openedtech] · [https://planet.ellak.gr planet] · [https://newsletters.ellak.gr newsletters] · [https://lists.ellak.gr lists]<br /> <br /> <br /> <br /> ---<br /> <br /> == 📝 Οδηγίες για Blogs Δράσεων &amp; Ομάδων Εργασίας == <br /> <br /> [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Δείτε εδώ αναλυτικές οδηγίες] <br /> για τη δημοσίευση άρθρων στις σελίδες δράσεων και στα blogs των ομάδων εργασίας.<br /> <br /> ---<br /> <br /> == 🌐 Ιστοσελίδες Δράσεων του Οργανισμού(EΕΛ/ΛΑΚ) == <br /> <br /> * [https://ellak.gr/ Το κεντρικό site για το ΕΛ/ΛΑΚ] — Αναδημοσιεύονται αυτόματα όλα τα άρθρα από όλους τους δικτυακούς τόπους της ΕΕΛΛΑΚ.<br /> * [https://ellak.gr/ Οργανισμός Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ)] — Ο εταιρικός δικτυακός τόπος.<br /> * LinkedIn: [https://www.linkedin.com/company/77332669/admin/dashboard/ eellak]<br /> * Facebook: [https://www.facebook.com/eellak eellak]<br /> * Instagram: [https://www.instagram.com/ellak.gr/ eellak]<br /> * BlueSky: [https://bsky.app/profile/tgkarounos.bsky.social eellak]<br /> * Mastodon: [https://fosstodon.org/deck/@eellak@mastodon.social eellak]<br /> * Twitter/X: [https://twitter.com/eellak @eellak]<br /> * [http://gfoss.eu Open Technologies Alliance (GFOSS)] — Αγγλόφωνη παρουσία της ΕΕΛΛΑΚ (Twitter/X: [https://twitter.com/gfoss_en @gfoss_en])<br /> * [https://github.com/eellak github.com/eellak] — Αποθετήριο κώδικα της ΕΕΛΛΑΚ.<br /> * [https://mathe.ellak.gr/ mathe.ellak.gr] — Προώθηση &amp; διάδοση ΕΛ/ΛΑΚ: Ανοιχτό λογισμικό, ανοιχτοί ορίζοντες.<br /> * [https://glossapi.gr/ glossapi.gr] — Open-source toolkit της ΕΕΛΛΑΚ για ανάλυση ελληνικού κειμένου (λογοτεχνία, νομοθεσία, επιστήμη, πολιτισμός).<br /> * [https://opensource.ellak.gr/ opensource.ellak.gr] — Ανοιχτό λογισμικό.<br /> * [https://edu.ellak.gr/ edu.ellak.gr] — Ανοικτές τεχνολογίες στην εκπαίδευση.<br /> * [https://elearn.ellak.gr/ elearn.ellak.gr] — Πλατφόρμα ανοικτού εκπαιδευτικού περιεχομένου.<br /> * [https://openedtech.ellak.gr/ openedtech.ellak.gr] — Πανελλήνιος Διαγωνισμός Ρομποτικής Ανοιχτών Τεχνολογιών.<br /> * [https://scientix.ellak.gr/ scientix.ellak.gr] — Πανελλήνιο Συνέδριο Scientix.<br /> * [https://elearnconf.ellak.gr/ elearnconf.ellak.gr] — Διημερίδα «Η πρόκληση της ανοικτής εκπαίδευσης».<br /> * [https://privacy.ellak.gr/ privacy.ellak.gr] — Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων.<br /> * [https://creativecommons.ellak.gr/ Creative Commons] — Προώθηση των Αδειών Creative Commons.<br /> * Facebook: [https://www.facebook.com/CreativeCommonsGreece CreativeCommonsGreece]<br /> * Twitter/X: [https://twitter.com/cc_greece @cc_greece]<br /> * [https://opengov.ellak.gr/ opengov.ellak.gr] — Προώθηση δράσεων Ανοιχτής Διακυβέρνησης.<br /> * [https://mycontent.ellak.gr/ mycontent.ellak.gr] — Προώθηση ανοικτού περιεχομένου (Wikipedia, OpenStreetMap, OpenGLAM).<br /> * [https://opendata.ellak.gr/ opendata.ellak.gr] — Ανοικτά Δεδομένα.<br /> * [https://openhardware.ellak.gr/ openhardware.ellak.gr] — Προώθηση Ανοικτού Υλισμικού (Hardware).<br /> * [https://openwifi.gr/ openwifi.gr] — Ελεύθερα ασύρματα δίκτυα.<br /> * [https://oer.ellak.gr/ oer.ellak.gr] — Ανοικτό περιεχόμενο στην εκπαίδευση.<br /> * [https://openstandards.ellak.gr/ openstandards.ellak.gr] — Προώθηση Ανοικτών Προτύπων.<br /> * [https://odi.ellak.gr/ odi.ellak.gr] — Open Data Institute – Athens Node.<br /> * [https://obs.ellak.gr/ obs.ellak.gr] — Ανοικτοί Προϋπολογισμοί, Προμήθειες και Συμβάσεις.<br /> * [https://legal.ellak.gr/ legal.ellak.gr] — Νομικά θέματα για ΕΛ/ΛΑΚ και ανοικτές τεχνολογίες.<br /> * [https://smartcities.ellak.gr/ smartcities.ellak.gr] — Έξυπνες πόλεις.<br /> * [https://openbusiness.ellak.gr/ openbusiness.ellak.gr] — Προώθηση της Ανοικτής Επιχειρηματικότητας και Καινοτομίας.<br /> * [https://advisory.ellak.gr/ advisory.ellak.gr] — Δημόσια διαβούλευση για τις δράσεις της ΕΕΛΛΑΚ.<br /> * [https://opendesign.ellak.gr/ opendesign.ellak.gr] — Ανοιχτή σχεδίαση (Open Design).<br /> * [https://ccradio.ellak.gr/ ccradio.ellak.gr] — Μουσικό ραδιόφωνο με άδειες Creative Commons.<br /> * [https://planet.ellak.gr/ planet.ellak.gr] — Συγκεντρωτής δημοσιεύσεων της κοινότητας ΕΛ/ΛΑΚ.<br /> * [http://repository.ellak.gr/ repository.ellak.gr] — Αποθετήριο υλικού έργων, τεκμηρίωσης και δράσεων.<br /> * [https://conferences.ellak.gr/ conferences.ellak.gr] — Οπτικοακουστικό υλικό και παρουσιάσεις από συνέδρια/ημερίδες.<br /> * [https://el.diadikasies.gr/ el.diadikasies.gr] — Wiki υπηρεσιών και διαδικασιών Δημόσιου Τομέα.<br /> ---<br /> <br /> == 👥 Blogs Ομάδων Εργασίας == <br /> <br /> * [https://opengov.ellak.gr opengov.ellak.gr] &amp; [https://opendata.ellak.gr opendata.ellak.gr] — '''Ομάδα Εργασίας για την Ανοικτή Διακυβέρνηση και τα Ανοικτά Δεδομένα'''<br /> * [https://edu.ellak.gr edu.ellak.gr], [https://oer.ellak.gr oer.ellak.gr], [https://elearn.ellak.gr elearn.ellak.gr], [https://openedtech.ellak.gr openedtech.ellak.gr], [https://scientix.ellak.gr scientix.ellak.gr], [https://elearnconf.ellak.gr elearnconf.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτές Τεχνολογίες και Ανοικτό Περιεχόμενο στην Εκπαίδευση'''<br /> * [https://openhardware.ellak.gr openhardware.ellak.gr] &amp; [https://openwifi.ellak.gr openwifi.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτό Σχεδιασμό, Ανοιχτό Υλισμικό και Ασύρματα Δίκτυα'''<br /> * [https://privacy.ellak.gr privacy.ellak.gr] &amp; [https://legal.ellak.gr legal.ellak.gr] — '''Ομάδα Εργασίας για Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων'''<br /> * [https://opensource.ellak.gr opensource.ellak.gr] &amp; [https://openstandards.ellak.gr openstandards.ellak.gr] — '''Ομάδα Εργασίας για Ανοικτό Λογισμικό και Ανοικτά Πρότυπα'''<br /> * [https://openbusiness.ellak.gr openbusiness.ellak.gr] &amp; [https://smartcities.ellak.gr smartcities.ellak.gr] — '''Ομάδα Εργασίας για Καινοτομία, Επιχειρηματικότητα και Έξυπνες Πόλεις'''<br /> <br /> <br /> ---<br /> <br /> == 📚 Δράσεις &amp; Κατηγορίες στο wiki == <br /> <br /> • [[:Κατηγορία:Ομάδες Εργασίας της ΕΕΛ/ΛΑΚ|Ομάδες Εργασίας]] <br /> • [[:Κατηγορία:Προτάσεις Πολιτικής|Προτάσεις Πολιτικής]] <br /> • [[:Κατηγορία:Μελέτες|Μελέτες]] <br /> • [[:Κατηγορία:Ανοικτά δεδομένα|Ανοικτά Δεδομένα]] <br /> • [[:Κατηγορία:Ανοικτή Διακυβέρνηση|Ανοικτή Διακυβέρνηση]] <br /> • [[:Κατηγορία:Ανοικτό Περιεχόμενο|Ανοικτό Περιεχόμενο]] <br /> • [[:Κατηγορία:Εκπαίδευση και ΕΛΛΑΚ|Εκπαίδευση &amp; ΕΛΛΑΚ]] <br /> • [[:Κατηγορία:Νομικά θέματα ΕΕΛ/ΛΑΚ|Νομικά Θέματα]] <br /> • [[:Κατηγορία:Τεχνικές Προδιαγραφές|Τεχνικές Προδιαγραφές]] <br /> • [[:Κατηγορία:ΠΑΝΟΠΤΗΣ|ΠΑΝΟΠΤΗΣ]] — Άσκηση κυβερνοάμυνας <br /> • [[:Κατηγορία:Κρυπτογράφηση|Κρυπτογράφηση]] — Εγχειρίδια και οδηγοί <br /> • [[:Κατηγορία:FABLAB|FABLAB]] <br /> • [[:Κατηγορία:ΕΕΛΛΑΚ|Οργανισμός Ανοιχτών Τεχνολογιών ΕΕΛΛΑΚ]]<br /> <br /> ---<br /> <br /> == ⚙️ Πηγές &amp; Εργαλεία == <br /> <br /> • [https://mathe.ellak.gr/?page_id=135 Πίνακας ισοδύναμων λογισμικών] <br /> • [http://directory.fsf.org/wiki/Main_Page Free Software Directory] <br /> • [https://www.openhub.net/ OpenHub – Παρακολούθηση και σύγκριση έργων ανοικτού κώδικα]<br /> <br /> ---<br /> <br /> == 🤝 Συμμετοχή == <br /> <br /> • Διαβούλευση: [https://advisory.ellak.gr advisory.ellak.gr] <br /> • Συνεισφορά σε έργα: [https://github.com/eellak GitHub/eellak] <br /> • Οδηγός wiki: [[Οδηγός:Πώς_συμμετέχω_στο_wiki|Πώς συμμετέχω στο wiki]]<br /> <br /> ---<br /> <br /> == ✍️ Οδηγίες για Συντάκτες == <br /> <br /> • Όλες οι τεκμηριώσεις: '''CC BY-SA''' <br /> • Σύντομοι, σαφείς τίτλοι &amp; περιλήψεις <br /> • Προσθέστε κατάλληλες κατηγορίες σε κάθε άρθρο <br /> • [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Οδηγίες για άρθρα σε blogs ομάδων εργασίας]<br /> <br /> ---<br /> <br /> == 💬 Επικοινωνία &amp; Προτάσεις == <br /> <br /> Για προτάσεις βελτίωσης ή θέματα διαβούλευσης, επικοινωνήστε μέσω της φόρμας: <br /> ➡️ [https://ellak.gr/pite-mas-ti-gnomi-sas/ Πείτε μας τη γνώμη σας]<br /> <br /> ''Τελευταία επιμέλεια σελίδας: 04/11/2025'' <br /> <br /> [[Κατηγορία:ΕΕΛΛΑΚ]] [[Κατηγορία:Αρχική σελίδα]] [[Κατηγορία:Τεκμηρίωση]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%91%CF%81%CF%87%CE%B9%CE%BA%CE%AE_%CF%83%CE%B5%CE%BB%CE%AF%CE%B4%CE%B1&diff=2456 2025-11-04T12:41:48Z

<p>Pkst: </p> <hr /> <div>= Καλώς ήλθατε στο wiki του Οργανισμού Ανοιχτών Τεχνολογιών ('''ΕΕΛΛΑΚ''') = <br /> <br /> Καλώς ήλθατε στο '''κεντρικό wiki τεκμηρίωσης ''' του Οργανισμού Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ). <br /> Εδώ θα βρείτε οδηγούς, διαδικασίες, τεκμηρίωση και υλικό για: '''Ελεύθερο / Λογισμικό Ανοιχτού Κώδικα (ΕΛ/ΛΑΚ) ''', '''Ανοικτά Δεδομένα ''', '''Ανοικτό Περιεχόμενο '''και '''Ανοικτές Τεχνολογίες '''.<br /> <br /> ➡️ [https://ellak.gr/wiki/ Πρόσβαση στο wiki της ΕΕΛΛΑΚ]<br /> <br /> __TOC__<br /> <br /> ---<br /> <br /> == 🔗 Γρήγορη Πλοήγηση == <br /> <br /> '''Κεντρικά:''' [http://eellak.gr eellak.gr] · [http://gfoss.eu gfoss.eu] · [https://advisory.ellak.gr advisory] · [https://wiki.ellak.gr wiki] <br /> '''Εκπαίδευση:''' [https://edu.ellak.gr edu] · [https://elearn.ellak.gr elearn] · [https://robotics.ellak.gr robotics] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] · [https://mathe.ellak.gr mathe] <br /> '''Περιεχόμενο / Δεδομένα:''' [https://mycontent.ellak.gr mycontent] · [https://creativecommons.gr creativecommons] · [https://odi.ellak.gr odi] · [https://opendata.ellak.gr opendata] · [https://openstandards.ellak.gr openstandards] · [http://repository.ellak.gr repository] <br /> '''Δημόσιος Τομέας &amp; Πόλεις:''' [https://opengov.ellak.gr opengov] · [https://smartcities.ellak.gr smartcities] · [https://el.diadikasies.gr diadikasies] · [https://obs.ellak.gr obs] <br /> '''Υποδομές &amp; Κοινότητα:''' [https://github.com/eellak github] · [https://opensource.ellak.gr opensource] · [https://glossapi.gr glossapi] · [https://openhardware.ellak.gr openhardware] · [https://opendesign.ellak.gr opendesign] · [https://openwifi.gr openwifi] · [https://openedtech.ellak.gr openedtech] · [https://planet.ellak.gr planet] · [https://newsletters.ellak.gr newsletters] · [https://lists.ellak.gr lists]<br /> <br /> ---<br /> <br /> == 📝 Οδηγίες για Blogs Δράσεων &amp; Ομάδων Εργασίας == <br /> <br /> [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Δείτε εδώ αναλυτικές οδηγίες] <br /> για τη δημοσίευση άρθρων στις σελίδες δράσεων και στα blogs των ομάδων εργασίας.<br /> <br /> ---<br /> <br /> == 🌐 Ιστοσελίδες Δράσεων του Οργανισμού(EΕΛ/ΛΑΚ) == <br /> <br /> * [https://ellak.gr/ Το κεντρικό site για το ΕΛ/ΛΑΚ] — Αναδημοσιεύονται αυτόματα όλα τα άρθρα από όλους τους δικτυακούς τόπους της ΕΕΛΛΑΚ.<br /> * [https://ellak.gr/ Οργανισμός Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ)] — Ο εταιρικός δικτυακός τόπος.<br /> * LinkedIn: [https://www.linkedin.com/company/77332669/admin/dashboard/ eellak]<br /> * Facebook: [https://www.facebook.com/eellak eellak]<br /> * Instagram: [https://www.instagram.com/ellak.gr/ eellak]<br /> * BlueSky: [https://bsky.app/profile/tgkarounos.bsky.social eellak]<br /> * Mastodon: [https://fosstodon.org/deck/@eellak@mastodon.social eellak]<br /> * Twitter/X: [https://twitter.com/eellak @eellak]<br /> * [http://gfoss.eu Open Technologies Alliance (GFOSS)] — Αγγλόφωνη παρουσία της ΕΕΛΛΑΚ (Twitter/X: [https://twitter.com/gfoss_en @gfoss_en])<br /> * [https://github.com/eellak github.com/eellak] — Αποθετήριο κώδικα της ΕΕΛΛΑΚ.<br /> * [https://mathe.ellak.gr/ mathe.ellak.gr] — Προώθηση &amp; διάδοση ΕΛ/ΛΑΚ: Ανοιχτό λογισμικό, ανοιχτοί ορίζοντες.<br /> * [https://glossapi.gr/ glossapi.gr] — Open-source toolkit της ΕΕΛΛΑΚ για ανάλυση ελληνικού κειμένου (λογοτεχνία, νομοθεσία, επιστήμη, πολιτισμός).<br /> * [https://opensource.ellak.gr/ opensource.ellak.gr] — Ανοιχτό λογισμικό.<br /> * [https://edu.ellak.gr/ edu.ellak.gr] — Ανοικτές τεχνολογίες στην εκπαίδευση.<br /> * [https://elearn.ellak.gr/ elearn.ellak.gr] — Πλατφόρμα ανοικτού εκπαιδευτικού περιεχομένου.<br /> * [https://openedtech.ellak.gr/ openedtech.ellak.gr] — Πανελλήνιος Διαγωνισμός Ρομποτικής Ανοιχτών Τεχνολογιών.<br /> * [https://scientix.ellak.gr/ scientix.ellak.gr] — Πανελλήνιο Συνέδριο Scientix.<br /> * [https://elearnconf.ellak.gr/ elearnconf.ellak.gr] — Διημερίδα «Η πρόκληση της ανοικτής εκπαίδευσης».<br /> * [https://privacy.ellak.gr/ privacy.ellak.gr] — Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων.<br /> * [https://creativecommons.ellak.gr/ Creative Commons] — Προώθηση των Αδειών Creative Commons.<br /> * Facebook: [https://www.facebook.com/CreativeCommonsGreece CreativeCommonsGreece]<br /> * Twitter/X: [https://twitter.com/cc_greece @cc_greece]<br /> * [https://opengov.ellak.gr/ opengov.ellak.gr] — Προώθηση δράσεων Ανοιχτής Διακυβέρνησης.<br /> * [https://mycontent.ellak.gr/ mycontent.ellak.gr] — Προώθηση ανοικτού περιεχομένου (Wikipedia, OpenStreetMap, OpenGLAM).<br /> * [https://opendata.ellak.gr/ opendata.ellak.gr] — Ανοικτά Δεδομένα.<br /> * [https://openhardware.ellak.gr/ openhardware.ellak.gr] — Προώθηση Ανοικτού Υλισμικού (Hardware).<br /> * [https://openwifi.gr/ openwifi.gr] — Ελεύθερα ασύρματα δίκτυα.<br /> * [https://oer.ellak.gr/ oer.ellak.gr] — Ανοικτό περιεχόμενο στην εκπαίδευση.<br /> * [https://openstandards.ellak.gr/ openstandards.ellak.gr] — Προώθηση Ανοικτών Προτύπων.<br /> * [https://odi.ellak.gr/ odi.ellak.gr] — Open Data Institute – Athens Node.<br /> * [https://obs.ellak.gr/ obs.ellak.gr] — Ανοικτοί Προϋπολογισμοί, Προμήθειες και Συμβάσεις.<br /> * [https://legal.ellak.gr/ legal.ellak.gr] — Νομικά θέματα για ΕΛ/ΛΑΚ και ανοικτές τεχνολογίες.<br /> * [https://smartcities.ellak.gr/ smartcities.ellak.gr] — Έξυπνες πόλεις.<br /> * [https://openbusiness.ellak.gr/ openbusiness.ellak.gr] — Προώθηση της Ανοικτής Επιχειρηματικότητας και Καινοτομίας.<br /> * [https://advisory.ellak.gr/ advisory.ellak.gr] — Δημόσια διαβούλευση για τις δράσεις της ΕΕΛΛΑΚ.<br /> * [https://opendesign.ellak.gr/ opendesign.ellak.gr] — Ανοιχτή σχεδίαση (Open Design).<br /> * [https://ccradio.ellak.gr/ ccradio.ellak.gr] — Μουσικό ραδιόφωνο με άδειες Creative Commons.<br /> * [https://planet.ellak.gr/ planet.ellak.gr] — Συγκεντρωτής δημοσιεύσεων της κοινότητας ΕΛ/ΛΑΚ.<br /> * [http://repository.ellak.gr/ repository.ellak.gr] — Αποθετήριο υλικού έργων, τεκμηρίωσης και δράσεων.<br /> * [https://conferences.ellak.gr/ conferences.ellak.gr] — Οπτικοακουστικό υλικό και παρουσιάσεις από συνέδρια/ημερίδες.<br /> * [https://el.diadikasies.gr/ el.diadikasies.gr] — Wiki υπηρεσιών και διαδικασιών Δημόσιου Τομέα.<br /> ---<br /> <br /> == 👥 Blogs Ομάδων Εργασίας == <br /> <br /> * [https://opengov.ellak.gr opengov.ellak.gr] &amp; [https://opendata.ellak.gr opendata.ellak.gr] — '''Ομάδα Εργασίας για την Ανοικτή Διακυβέρνηση και τα Ανοικτά Δεδομένα'''<br /> * [https://edu.ellak.gr edu.ellak.gr], [https://oer.ellak.gr oer.ellak.gr], [https://elearn.ellak.gr elearn.ellak.gr], [https://openedtech.ellak.gr openedtech.ellak.gr], [https://scientix.ellak.gr scientix.ellak.gr], [https://elearnconf.ellak.gr elearnconf.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτές Τεχνολογίες και Ανοικτό Περιεχόμενο στην Εκπαίδευση'''<br /> * [https://openhardware.ellak.gr openhardware.ellak.gr] &amp; [https://openwifi.ellak.gr openwifi.ellak.gr] — '''Ομάδα Εργασίας για Ανοιχτό Σχεδιασμό, Ανοιχτό Υλισμικό και Ασύρματα Δίκτυα'''<br /> * [https://privacy.ellak.gr privacy.ellak.gr] &amp; [https://legal.ellak.gr legal.ellak.gr] — '''Ομάδα Εργασίας για Ασφάλεια Πληροφοριακών Συστημάτων και Προστασία Προσωπικών Δεδομένων'''<br /> * [https://opensource.ellak.gr opensource.ellak.gr] &amp; [https://openstandards.ellak.gr openstandards.ellak.gr] — '''Ομάδα Εργασίας για Ανοικτό Λογισμικό και Ανοικτά Πρότυπα'''<br /> * [https://openbusiness.ellak.gr openbusiness.ellak.gr] &amp; [https://smartcities.ellak.gr smartcities.ellak.gr] — '''Ομάδα Εργασίας για Καινοτομία, Επιχειρηματικότητα και Έξυπνες Πόλεις'''<br /> <br /> <br /> ---<br /> <br /> == 📚 Δράσεις &amp; Κατηγορίες στο wiki == <br /> <br /> • [[:Κατηγορία:Ομάδες Εργασίας της ΕΕΛ/ΛΑΚ|Ομάδες Εργασίας]] <br /> • [[:Κατηγορία:Προτάσεις Πολιτικής|Προτάσεις Πολιτικής]] <br /> • [[:Κατηγορία:Μελέτες|Μελέτες]] <br /> • [[:Κατηγορία:Ανοικτά δεδομένα|Ανοικτά Δεδομένα]] <br /> • [[:Κατηγορία:Ανοικτή Διακυβέρνηση|Ανοικτή Διακυβέρνηση]] <br /> • [[:Κατηγορία:Ανοικτό Περιεχόμενο|Ανοικτό Περιεχόμενο]] <br /> • [[:Κατηγορία:Εκπαίδευση και ΕΛΛΑΚ|Εκπαίδευση &amp; ΕΛΛΑΚ]] <br /> • [[:Κατηγορία:Νομικά θέματα ΕΕΛ/ΛΑΚ|Νομικά Θέματα]] <br /> • [[:Κατηγορία:Τεχνικές Προδιαγραφές|Τεχνικές Προδιαγραφές]] <br /> • [[:Κατηγορία:ΠΑΝΟΠΤΗΣ|ΠΑΝΟΠΤΗΣ]] — Άσκηση κυβερνοάμυνας <br /> • [[:Κατηγορία:Κρυπτογράφηση|Κρυπτογράφηση]] — Εγχειρίδια και οδηγοί <br /> • [[:Κατηγορία:FABLAB|FABLAB]] <br /> • [[:Κατηγορία:ΕΕΛΛΑΚ|Οργανισμός Ανοιχτών Τεχνολογιών ΕΕΛΛΑΚ]]<br /> <br /> ---<br /> <br /> == ⚙️ Πηγές &amp; Εργαλεία == <br /> <br /> • [https://mathe.ellak.gr/?page_id=135 Πίνακας ισοδύναμων λογισμικών] <br /> • [http://directory.fsf.org/wiki/Main_Page Free Software Directory] <br /> • [https://www.openhub.net/ OpenHub – Παρακολούθηση και σύγκριση έργων ανοικτού κώδικα]<br /> <br /> ---<br /> <br /> == 🤝 Συμμετοχή == <br /> <br /> • Διαβούλευση: [https://advisory.ellak.gr advisory.ellak.gr] <br /> • Συνεισφορά σε έργα: [https://github.com/eellak GitHub/eellak] <br /> • Οδηγός wiki: [[Οδηγός:Πώς_συμμετέχω_στο_wiki|Πώς συμμετέχω στο wiki]]<br /> <br /> ---<br /> <br /> == ✍️ Οδηγίες για Συντάκτες == <br /> <br /> • Όλες οι τεκμηριώσεις: '''CC BY-SA''' <br /> • Σύντομοι, σαφείς τίτλοι &amp; περιλήψεις <br /> • Προσθέστε κατάλληλες κατηγορίες σε κάθε άρθρο <br /> • [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Οδηγίες για άρθρα σε blogs ομάδων εργασίας]<br /> <br /> ---<br /> <br /> == 💬 Επικοινωνία &amp; Προτάσεις == <br /> <br /> Για προτάσεις βελτίωσης ή θέματα διαβούλευσης, επικοινωνήστε μέσω της φόρμας: <br /> ➡️ [https://ellak.gr/pite-mas-ti-gnomi-sas/ Πείτε μας τη γνώμη σας]<br /> <br /> ''Τελευταία επιμέλεια σελίδας: 04/11/2025'' <br /> <br /> [[Κατηγορία:ΕΕΛΛΑΚ]] [[Κατηγορία:Αρχική σελίδα]] [[Κατηγορία:Τεκμηρίωση]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%91%CF%81%CF%87%CE%B9%CE%BA%CE%AE_%CF%83%CE%B5%CE%BB%CE%AF%CE%B4%CE%B1&diff=2455 2025-11-04T08:35:00Z

<p>Pkst: </p> <hr /> <div>= Καλώς ήλθατε στο wiki του Οργανισμού Ανοιχτών Τεχνολογιών ('''ΕΕΛΛΑΚ''') = <br /> <br /> Καλώς ήλθατε στο '''κεντρικό wiki τεκμηρίωσης ''' του Οργανισμού Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ). <br /> Εδώ θα βρείτε οδηγούς, διαδικασίες, τεκμηρίωση και υλικό για: '''Ελεύθερο / Λογισμικό Ανοιχτού Κώδικα (ΕΛ/ΛΑΚ) ''', '''Ανοικτά Δεδομένα ''', '''Ανοικτό Περιεχόμενο '''και '''Ανοικτές Τεχνολογίες '''.<br /> <br /> ➡️ [https://ellak.gr/wiki/ Πρόσβαση στο wiki της ΕΕΛΛΑΚ]<br /> <br /> __TOC__<br /> <br /> ---<br /> <br /> == 🔗 Γρήγορη Πλοήγηση == <br /> <br /> '''Κεντρικά:''' [http://eellak.gr eellak.gr] · [http://gfoss.eu gfoss.eu] · [https://advisory.ellak.gr advisory] · [https://wiki.ellak.gr wiki] <br /> '''Εκπαίδευση:''' [https://edu.ellak.gr edu] · [https://elearn.ellak.gr elearn] · [https://robotics.ellak.gr robotics] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] · [https://mathe.ellak.gr mathe] <br /> '''Περιεχόμενο / Δεδομένα:''' [https://mycontent.ellak.gr mycontent] · [https://creativecommons.gr creativecommons] · [https://odi.ellak.gr odi] · [https://opendata.ellak.gr opendata] · [https://openstandards.ellak.gr openstandards] · [http://repository.ellak.gr repository] <br /> '''Δημόσιος Τομέας &amp; Πόλεις:''' [https://opengov.ellak.gr opengov] · [https://smartcities.ellak.gr smartcities] · [https://el.diadikasies.gr diadikasies] · [https://obs.ellak.gr obs] <br /> '''Υποδομές &amp; Κοινότητα:''' [https://github.com/eellak github] · [https://opensource.ellak.gr opensource] · [https://glossapi.gr glossapi] · [https://openhardware.ellak.gr openhardware] · [https://opendesign.ellak.gr opendesign] · [https://openwifi.gr openwifi] · [https://openedtech.ellak.gr openedtech] · [https://planet.ellak.gr planet] · [https://newsletters.ellak.gr newsletters] · [https://lists.ellak.gr lists]<br /> <br /> ---<br /> <br /> == 📝 Οδηγίες για Blogs Δράσεων &amp; Ομάδων Εργασίας == <br /> <br /> [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Δείτε εδώ αναλυτικές οδηγίες] <br /> για τη δημοσίευση άρθρων στις σελίδες δράσεων και στα blogs των ομάδων εργασίας.<br /> <br /> ---<br /> <br /> == 🌐 Δικτυακοί Τόποι της ΕΕΛΛΑΚ == <br /> <br /> • [https://ellak.gr/ Κεντρικός ιστότοπος ΕΕΛΛΑΚ] — Αναδημοσιεύει αυτόματα άρθρα από όλους τους επιμέρους ιστότοπους. <br /> • [http://gfoss.eu Open Technologies Alliance (GFOSS)] — Αγγλόφωνη παρουσία της ΕΕΛΛΑΚ. <br /> • [https://github.com/eellak github.com/eellak] — Αποθετήριο κώδικα. <br /> • [https://edu.ellak.gr edu.ellak.gr] — Ανοικτές τεχνολογίες στην εκπαίδευση. <br /> • [https://opensource.ellak.gr opensource.ellak.gr] — Ανοικτό λογισμικό. <br /> • [https://opengov.ellak.gr opengov.ellak.gr] — Ανοικτή διακυβέρνηση. <br /> • [https://opendata.ellak.gr opendata.ellak.gr] — Ανοικτά δεδομένα. <br /> • [https://openhardware.ellak.gr openhardware.ellak.gr] — Ανοικτό υλισμικό. <br /> • [https://smartcities.ellak.gr smartcities.ellak.gr] — Έξυπνες πόλεις. <br /> • [https://openbusiness.ellak.gr openbusiness.ellak.gr] — Ανοικτή επιχειρηματικότητα &amp; καινοτομία. <br /> • [https://creativecommons.ellak.gr creativecommons.ellak.gr] — Αδειοδότηση ανοικτού περιεχομένου. <br /> • [https://mycontent.ellak.gr mycontent.ellak.gr] — Wikipedia, OpenStreetMap, OpenGLAM. <br /> • [https://privacy.ellak.gr privacy.ellak.gr] — Ασφάλεια &amp; προστασία προσωπικών δεδομένων. <br /> • [https://planet.ellak.gr planet.ellak.gr] — Συγκεντρωτής δημοσιεύσεων της κοινότητας ΕΛ/ΛΑΚ.<br /> <br /> ---<br /> <br /> == 👥 Blogs Ομάδων Εργασίας == <br /> <br /> • '''Ανοικτή Διακυβέρνηση &amp; Ανοικτά Δεδομένα:''' [https://opengov.ellak.gr opengov] · [https://opendata.ellak.gr opendata] <br /> • '''Ανοικτές Τεχνολογίες &amp; Εκπαίδευση:''' [https://edu.ellak.gr edu] · [https://oer.ellak.gr oer] · [https://elearn.ellak.gr elearn] · [https://openedtech.ellak.gr openedtech] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] <br /> • '''Ανοικτός Σχεδιασμός &amp; Υλισμικό:''' [https://openhardware.ellak.gr openhardware] · [https://openwifi.ellak.gr openwifi] <br /> • '''Ασφάλεια &amp; Προσωπικά Δεδομένα:''' [https://privacy.ellak.gr privacy] · [https://legal.ellak.gr legal] <br /> • '''Ανοικτό Λογισμικό &amp; Πρότυπα:''' [https://opensource.ellak.gr opensource] · [https://openstandards.ellak.gr openstandards] <br /> • '''Καινοτομία &amp; Έξυπνες Πόλεις:''' [https://openbusiness.ellak.gr openbusiness] · [https://smartcities.ellak.gr smartcities]<br /> <br /> ---<br /> <br /> == 📚 Δράσεις &amp; Κατηγορίες στο wiki == <br /> <br /> • [[:Κατηγορία:Ομάδες Εργασίας της ΕΕΛ/ΛΑΚ|Ομάδες Εργασίας]] <br /> • [[:Κατηγορία:Προτάσεις Πολιτικής|Προτάσεις Πολιτικής]] <br /> • [[:Κατηγορία:Μελέτες|Μελέτες]] <br /> • [[:Κατηγορία:Ανοικτά δεδομένα|Ανοικτά Δεδομένα]] <br /> • [[:Κατηγορία:Ανοικτή Διακυβέρνηση|Ανοικτή Διακυβέρνηση]] <br /> • [[:Κατηγορία:Ανοικτό Περιεχόμενο|Ανοικτό Περιεχόμενο]] <br /> • [[:Κατηγορία:Εκπαίδευση και ΕΛΛΑΚ|Εκπαίδευση &amp; ΕΛΛΑΚ]] <br /> • [[:Κατηγορία:Νομικά θέματα ΕΕΛ/ΛΑΚ|Νομικά Θέματα]] <br /> • [[:Κατηγορία:Τεχνικές Προδιαγραφές|Τεχνικές Προδιαγραφές]] <br /> • [[:Κατηγορία:ΠΑΝΟΠΤΗΣ|ΠΑΝΟΠΤΗΣ]] — Άσκηση κυβερνοάμυνας <br /> • [[:Κατηγορία:Κρυπτογράφηση|Κρυπτογράφηση]] — Εγχειρίδια και οδηγοί <br /> • [[:Κατηγορία:FABLAB|FABLAB]] <br /> • [[:Κατηγορία:ΕΕΛΛΑΚ|Οργανισμός Ανοιχτών Τεχνολογιών ΕΕΛΛΑΚ]]<br /> <br /> ---<br /> <br /> == ⚙️ Πηγές &amp; Εργαλεία == <br /> <br /> • [https://mathe.ellak.gr/?page_id=135 Πίνακας ισοδύναμων λογισμικών] <br /> • [http://directory.fsf.org/wiki/Main_Page Free Software Directory] <br /> • [https://www.openhub.net/ OpenHub – Παρακολούθηση και σύγκριση έργων ανοικτού κώδικα]<br /> <br /> ---<br /> <br /> == 🤝 Συμμετοχή == <br /> <br /> • Διαβούλευση: [https://advisory.ellak.gr advisory.ellak.gr] <br /> • Συνεισφορά σε έργα: [https://github.com/eellak GitHub/eellak] <br /> • Οδηγός wiki: [[Οδηγός:Πώς_συμμετέχω_στο_wiki|Πώς συμμετέχω στο wiki]]<br /> <br /> ---<br /> <br /> == ✍️ Οδηγίες για Συντάκτες == <br /> <br /> • Όλες οι τεκμηριώσεις: '''CC BY-SA''' <br /> • Σύντομοι, σαφείς τίτλοι &amp; περιλήψεις <br /> • Προσθέστε κατάλληλες κατηγορίες σε κάθε άρθρο <br /> • [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Οδηγίες για άρθρα σε blogs ομάδων εργασίας]<br /> <br /> ---<br /> <br /> == 💬 Επικοινωνία &amp; Προτάσεις == <br /> <br /> Για προτάσεις βελτίωσης ή θέματα διαβούλευσης, επικοινωνήστε μέσω της φόρμας: <br /> ➡️ [https://ellak.gr/pite-mas-ti-gnomi-sas/ Πείτε μας τη γνώμη σας]<br /> <br /> ''Τελευταία επιμέλεια σελίδας: 04/11/2025'' <br /> <br /> [[Κατηγορία:ΕΕΛΛΑΚ]] [[Κατηγορία:Αρχική σελίδα]] [[Κατηγορία:Τεκμηρίωση]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%91%CF%81%CF%87%CE%B9%CE%BA%CE%AE_%CF%83%CE%B5%CE%BB%CE%AF%CE%B4%CE%B1&diff=2454 2025-11-04T08:29:10Z

<p>Pkst: </p> <hr /> <div>= Καλώς ήλθατε στο wiki του Οργανισμού Ανοιχτών Τεχνολογιών ('''ΕΕΛΛΑΚ''') = <br /> <br /> Καλώς ήλθατε στο **κεντρικό wiki τεκμηρίωσης** του Οργανισμού Ανοιχτών Τεχνολογιών (ΕΕΛΛΑΚ). <br /> Εδώ θα βρείτε οδηγούς, διαδικασίες, τεκμηρίωση και υλικό για: <br /> **Ελεύθερο / Λογισμικό Ανοιχτού Κώδικα (ΕΛ/ΛΑΚ)**, **Ανοικτά Δεδομένα**, **Ανοικτό Περιεχόμενο** και **Ανοικτές Τεχνολογίες**.<br /> <br /> ➡️ [https://ellak.gr/wiki/ Πρόσβαση στο wiki της ΕΕΛΛΑΚ]<br /> <br /> __TOC__<br /> <br /> ---<br /> <br /> == 🔗 Γρήγορη Πλοήγηση == <br /> <br /> '''Κεντρικά:''' [http://eellak.gr eellak.gr] · [http://gfoss.eu gfoss.eu] · [https://advisory.ellak.gr advisory] · [https://wiki.ellak.gr wiki] <br /> '''Εκπαίδευση:''' [https://edu.ellak.gr edu] · [https://elearn.ellak.gr elearn] · [https://robotics.ellak.gr robotics] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] · [https://mathe.ellak.gr mathe] <br /> '''Περιεχόμενο / Δεδομένα:''' [https://mycontent.ellak.gr mycontent] · [https://creativecommons.gr creativecommons] · [https://odi.ellak.gr odi] · [https://opendata.ellak.gr opendata] · [https://openstandards.ellak.gr openstandards] · [http://repository.ellak.gr repository] <br /> '''Δημόσιος Τομέας &amp; Πόλεις:''' [https://opengov.ellak.gr opengov] · [https://smartcities.ellak.gr smartcities] · [https://el.diadikasies.gr diadikasies] · [https://obs.ellak.gr obs] <br /> '''Υποδομές &amp; Κοινότητα:''' [https://github.com/eellak github] · [https://opensource.ellak.gr opensource] · [https://glossapi.gr glossapi] · [https://openhardware.ellak.gr openhardware] · [https://opendesign.ellak.gr opendesign] · [https://openwifi.gr openwifi] · [https://openedtech.ellak.gr openedtech] · [https://planet.ellak.gr planet] · [https://newsletters.ellak.gr newsletters] · [https://lists.ellak.gr lists]<br /> <br /> ---<br /> <br /> == 📝 Οδηγίες για Blogs Δράσεων &amp; Ομάδων Εργασίας == <br /> <br /> [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Δείτε εδώ αναλυτικές οδηγίες] <br /> για τη δημοσίευση άρθρων στις σελίδες δράσεων και στα blogs των ομάδων εργασίας.<br /> <br /> ---<br /> <br /> == 🌐 Δικτυακοί Τόποι της ΕΕΛΛΑΚ == <br /> <br /> • [https://ellak.gr/ Κεντρικός ιστότοπος ΕΕΛΛΑΚ] — Αναδημοσιεύει αυτόματα άρθρα από όλους τους επιμέρους ιστότοπους. <br /> • [http://gfoss.eu Open Technologies Alliance (GFOSS)] — Αγγλόφωνη παρουσία της ΕΕΛΛΑΚ. <br /> • [https://github.com/eellak github.com/eellak] — Αποθετήριο κώδικα. <br /> • [https://edu.ellak.gr edu.ellak.gr] — Ανοικτές τεχνολογίες στην εκπαίδευση. <br /> • [https://opensource.ellak.gr opensource.ellak.gr] — Ανοικτό λογισμικό. <br /> • [https://opengov.ellak.gr opengov.ellak.gr] — Ανοικτή διακυβέρνηση. <br /> • [https://opendata.ellak.gr opendata.ellak.gr] — Ανοικτά δεδομένα. <br /> • [https://openhardware.ellak.gr openhardware.ellak.gr] — Ανοικτό υλισμικό. <br /> • [https://smartcities.ellak.gr smartcities.ellak.gr] — Έξυπνες πόλεις. <br /> • [https://openbusiness.ellak.gr openbusiness.ellak.gr] — Ανοικτή επιχειρηματικότητα &amp; καινοτομία. <br /> • [https://creativecommons.ellak.gr creativecommons.ellak.gr] — Αδειοδότηση ανοικτού περιεχομένου. <br /> • [https://mycontent.ellak.gr mycontent.ellak.gr] — Wikipedia, OpenStreetMap, OpenGLAM. <br /> • [https://privacy.ellak.gr privacy.ellak.gr] — Ασφάλεια &amp; προστασία προσωπικών δεδομένων. <br /> • [https://planet.ellak.gr planet.ellak.gr] — Συγκεντρωτής δημοσιεύσεων της κοινότητας ΕΛ/ΛΑΚ.<br /> <br /> ---<br /> <br /> == 👥 Blogs Ομάδων Εργασίας == <br /> <br /> • '''Ανοικτή Διακυβέρνηση &amp; Ανοικτά Δεδομένα:''' [https://opengov.ellak.gr opengov] · [https://opendata.ellak.gr opendata] <br /> • '''Ανοικτές Τεχνολογίες &amp; Εκπαίδευση:''' [https://edu.ellak.gr edu] · [https://oer.ellak.gr oer] · [https://elearn.ellak.gr elearn] · [https://openedtech.ellak.gr openedtech] · [https://scientix.ellak.gr scientix] · [https://elearnconf.ellak.gr elearnconf] <br /> • '''Ανοικτός Σχεδιασμός &amp; Υλισμικό:''' [https://openhardware.ellak.gr openhardware] · [https://openwifi.ellak.gr openwifi] <br /> • '''Ασφάλεια &amp; Προσωπικά Δεδομένα:''' [https://privacy.ellak.gr privacy] · [https://legal.ellak.gr legal] <br /> • '''Ανοικτό Λογισμικό &amp; Πρότυπα:''' [https://opensource.ellak.gr opensource] · [https://openstandards.ellak.gr openstandards] <br /> • '''Καινοτομία &amp; Έξυπνες Πόλεις:''' [https://openbusiness.ellak.gr openbusiness] · [https://smartcities.ellak.gr smartcities]<br /> <br /> ---<br /> <br /> == 📚 Δράσεις &amp; Κατηγορίες στο wiki == <br /> <br /> • [[:Κατηγορία:Ομάδες Εργασίας της ΕΕΛ/ΛΑΚ|Ομάδες Εργασίας]] <br /> • [[:Κατηγορία:Προτάσεις Πολιτικής|Προτάσεις Πολιτικής]] <br /> • [[:Κατηγορία:Μελέτες|Μελέτες]] <br /> • [[:Κατηγορία:Ανοικτά δεδομένα|Ανοικτά Δεδομένα]] <br /> • [[:Κατηγορία:Ανοικτή Διακυβέρνηση|Ανοικτή Διακυβέρνηση]] <br /> • [[:Κατηγορία:Ανοικτό Περιεχόμενο|Ανοικτό Περιεχόμενο]] <br /> • [[:Κατηγορία:Εκπαίδευση και ΕΛΛΑΚ|Εκπαίδευση &amp; ΕΛΛΑΚ]] <br /> • [[:Κατηγορία:Νομικά θέματα ΕΕΛ/ΛΑΚ|Νομικά Θέματα]] <br /> • [[:Κατηγορία:Τεχνικές Προδιαγραφές|Τεχνικές Προδιαγραφές]] <br /> • [[:Κατηγορία:ΠΑΝΟΠΤΗΣ|ΠΑΝΟΠΤΗΣ]] — Άσκηση κυβερνοάμυνας <br /> • [[:Κατηγορία:Κρυπτογράφηση|Κρυπτογράφηση]] — Εγχειρίδια και οδηγοί <br /> • [[:Κατηγορία:FABLAB|FABLAB]] <br /> • [[:Κατηγορία:ΕΕΛΛΑΚ|Οργανισμός Ανοιχτών Τεχνολογιών ΕΕΛΛΑΚ]]<br /> <br /> ---<br /> <br /> == ⚙️ Πηγές &amp; Εργαλεία == <br /> <br /> • [https://mathe.ellak.gr/?page_id=135 Πίνακας ισοδύναμων λογισμικών] <br /> • [http://directory.fsf.org/wiki/Main_Page Free Software Directory] <br /> • [https://www.openhub.net/ OpenHub – Παρακολούθηση και σύγκριση έργων ανοικτού κώδικα]<br /> <br /> ---<br /> <br /> == 🤝 Συμμετοχή == <br /> <br /> • Διαβούλευση: [https://advisory.ellak.gr advisory.ellak.gr] <br /> • Συνεισφορά σε έργα: [https://github.com/eellak GitHub/eellak] <br /> • Οδηγός wiki: [[Οδηγός:Πώς_συμμετέχω_στο_wiki|Πώς συμμετέχω στο wiki]]<br /> <br /> ---<br /> <br /> == ✍️ Οδηγίες για Συντάκτες == <br /> <br /> • Όλες οι τεκμηριώσεις: '''CC BY-SA''' <br /> • Σύντομοι, σαφείς τίτλοι &amp; περιλήψεις <br /> • Προσθέστε κατάλληλες κατηγορίες σε κάθε άρθρο <br /> • [https://ellak.gr/wiki/index.php?title=%CE%9F%CE%B4%CE%B7%CE%B3%CE%AF%CE%B5%CF%82_%CE%A7%CF%81%CE%AE%CF%83%CE%B7%CF%82_Blogs_%CE%9F%CE%BC%CE%AC%CE%B4%CF%89%CE%BD_%CE%95%CF%81%CE%B3%CE%B1%CF%83%CE%AF%CE%B1%CF%82 Οδηγίες για άρθρα σε blogs ομάδων εργασίας]<br /> <br /> ---<br /> <br /> == 💬 Επικοινωνία &amp; Προτάσεις == <br /> <br /> Για προτάσεις βελτίωσης ή θέματα διαβούλευσης, επικοινωνήστε μέσω της φόρμας: <br /> ➡️ [https://ellak.gr/pite-mas-ti-gnomi-sas/ Πείτε μας τη γνώμη σας]<br /> <br /> ''Τελευταία επιμέλεια σελίδας: 04/11/2025'' <br /> <br /> [[Κατηγορία:ΕΕΛΛΑΚ]] [[Κατηγορία:Αρχική σελίδα]] [[Κατηγορία:Τεκμηρίωση]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%9A%CE%B1%CF%84%CE%AC%CE%BB%CE%BF%CE%B3%CE%BF%CF%82_%CE%A0%CE%B7%CE%B3%CF%8E%CE%BD_%CE%95%CE%BB%CE%BB%CE%B7%CE%BD%CE%B9%CE%BA%CF%8E%CE%BD_%CE%9A%CE%B5%CE%B9%CE%BC%CE%AD%CE%BD%CF%89%CE%BD_-_GlossAPI_Backlog&diff=2450 2025-11-03T07:50:59Z

<p>Pkst: </p> <hr /> <div>{| class=&quot;wikitable sortable&quot;<br /> ! Title<br /> ! URL<br /> ! Format<br /> ! Licence<br /> ! Size (GB)<br /> ! Domain<br /> ! Notes<br /> |-<br /> | Perseus Digital Library<br /> | [https://www.perseus.tufts.edu/hopper/opensource perseus.tufts.edu]<br /> | TEI/XML, morph<br /> | CC BY-SA<br /> | 15–20<br /> | Ancient<br /> | Core classical Greek; downloadable datasets &amp; tools.<br /> |-<br /> | Open Greek and Latin (OGL)<br /> | [https://opengreekandlatin.github.io/ opengreekandlatin.github.io]<br /> | TEI/XML<br /> | CC (varies)<br /> | 25–30<br /> | Ancient / Byzantine<br /> | Expanded corpus incl. Late Antiquity &amp; Byzantine; overlaps with Perseus.<br /> |-<br /> | First1KGreek (Harvard CHS)<br /> | [https://github.com/First1KGreek github.com/First1KGreek]<br /> | TEI/XML (Git)<br /> | CC BY 4.0<br /> | 8–12<br /> | Ancient / Byzantine<br /> | First millennium Greek works (TEI-encoded).<br /> |-<br /> | Ancient Greek Dependency Treebank (AGDT)<br /> | [https://github.com/PerseusDL/treebank_data github.com/PerseusDL/treebank_data]<br /> | CoNLL, XML<br /> | CC BY-SA<br /> | &lt;0.1<br /> | Ancient<br /> | Parsed and morphologically annotated classical Greek texts.<br /> |-<br /> | Scaife Viewer Corpus<br /> | [https://scaife.perseus.org/ scaife.perseus.org]<br /> | API/JSON, TEI<br /> | CC (where applicable)<br /> | —<br /> | Ancient<br /> | API access to Perseus/OGL corpora.<br /> |-<br /> | Thesaurus Linguae Graecae (TLG)<br /> | [https://stephanus.tlg.uci.edu/ stephanus.tlg.uci.edu]<br /> | Platform (TEI/TXT)<br /> | Licensed (institutional)<br /> | —<br /> | Ancient / Byzantine<br /> | Comprehensive corpus; subscription access.<br /> |-<br /> | Dumbarton Oaks Hagiography Database<br /> | [https://www.doaks.org/resources/hagiography doaks.org/resources/hagiography]<br /> | TEI, HTML<br /> | Open access<br /> | 3–5<br /> | Byzantine<br /> | Hagiographic texts &amp; prosopography.<br /> |-<br /> | Patrologia Graeca – Documenta Catholica Omnia<br /> | [http://www.documentacatholicaomnia.eu/ documentacatholicaomnia.eu]<br /> | HTML, PDF/TXT<br /> | Public domain<br /> | 40–60<br /> | Byzantine<br /> | Patristic Greek texts; OCR quality varies.<br /> |-<br /> | Μικρός Απόπλους – Αρχαία Ελληνικά Κείμενα<br /> | [http://www.mikrosapoplous.gr/t2t.htm mikrosapoplous.gr/t2t.htm]<br /> | HTML, TXT<br /> | Open access<br /> | —<br /> | Ancient<br /> | Classical and Byzantine texts in HTML form.<br /> |-<br /> | Post Augustum<br /> | [http://www.postaugustum.com/journal/ postaugustum.com/journal]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Ancient / Byzantine<br /> | Journal on Late Antiquity; bilingual (Greek/EN).<br /> |-<br /> | Μελέτες / Μονογραφίες – Αρχαιολογική Εταιρεία<br /> | [https://www.archetai.gr/index.php?p=content&amp;section=1&amp;id=19&amp;lang= archetai.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Ancient / Byzantine / Modern<br /> | Publications of the Archaeological Society at Athens.<br /> |-<br /> | Αρχαιολογική Εφημερίς<br /> | [https://www.archetai.gr/index.php?p=content&amp;section=1&amp;id=21&amp;lang= archetai.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Ancient / Byzantine / Modern<br /> | Journal by the Archaeological Society at Athens.<br /> |-<br /> | Πρακτικά της εν Αθήναις Αρχαιολογικής Εταιρείας<br /> | [https://www.archetai.gr/index.php?p=content&amp;section=1&amp;id=20&amp;lang= archetai.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Ancient / Byzantine / Modern<br /> | Proceedings published annually.<br /> |-<br /> | Το Έργον της εν Αθήναις Αρχαιολογικής Εταιρείας<br /> | [https://www.archetai.gr/index.php?p=content&amp;section=1&amp;id=22&amp;lang= archetai.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Ancient / Byzantine / Modern<br /> | Annual bulletin of archaeological activity.<br /> |-<br /> | Ο Μέντωρ<br /> | [https://www.archetai.gr/index.php?p=content&amp;section=1&amp;id=23&amp;lang= archetai.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Archaeological Society publication series.<br /> |-<br /> | Βυζαντινά (AUTH journals)<br /> | [http://ejournals.lib.auth.gr/BYZANTINA/issue/archive/ ejournals.lib.auth.gr/BYZANTINA]<br /> | HTML, PDF<br /> | Open access<br /> | —<br /> | Byzantine<br /> | Journal archive (AUTH e-journals).<br /> |-<br /> | Δελτίον Χριστιανικής Αρχαιολογικής Εταιρείας<br /> | [http://ejournals.epublishing.ekt.gr/index.php/deltion/issue/archive/ ejournals.epublishing.ekt.gr/deltion]<br /> | HTML, PDF<br /> | Open access<br /> | —<br /> | Byzantine / Modern<br /> | EKT eJournals—journal archive.<br /> |-<br /> | Δελτίον Βιβλικών Μελετών<br /> | [http://www.artoszois.gr/index.php/2014-06-30-14-33-19/ artoszois.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Byzantine / Modern<br /> | Biblical studies journal (Greek).<br /> |-<br /> | Θεολογία (Ι. Σύνοδος)<br /> | [http://www.ecclesia.gr/greek/press/theologia/index.asp ecclesia.gr/theologia]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Byzantine / Modern<br /> | Theology journal archive.<br /> <br /> |-<br /> | mC4 (Greek subset)<br /> | [https://www.tensorflow.org/datasets/catalog/c4 tensorflow.org/datasets/catalog/c4]<br /> | TFDS/TXT (derived)<br /> | Research use (see card)<br /> | 340–430<br /> | Modern<br /> | Large web corpus; needs filtering &amp; deduplication.<br /> |-<br /> | OSCAR 23.01 (Greek)<br /> | [https://huggingface.co/datasets/oscar-corpus/OSCAR-2301 huggingface.co/datasets/oscar-corpus/OSCAR-2301]<br /> | JSONL, TXT<br /> | CC BY 4.0<br /> | 70–85<br /> | Modern<br /> | Cleaned Common Crawl (Greek portion).<br /> |-<br /> | ELRC-SHARE (Greek Parallel)<br /> | [https://elrc-share.eu/ elrc-share.eu]<br /> | TMX, XML, TXT<br /> | Varies (per corpus)<br /> | 5–10<br /> | Modern<br /> | Parallel corpora for admin/law/education.<br /> |-<br /> | OPUS (Greek Parallel Corpora)<br /> | [https://opus.nlpl.eu/ opus.nlpl.eu]<br /> | TMX, TXT<br /> | Open (varies)<br /> | —<br /> | Modern<br /> | Multiple bilingual corpora (OpenSubtitles, DGT, etc.).<br /> |-<br /> | Wikimedia dumps (elwiki, elwiktionary)<br /> | [https://dumps.wikimedia.org/ dumps.wikimedia.org]<br /> | XML, SQL (bz2)<br /> | CC BY-SA 3.0<br /> | 5–10<br /> | Modern<br /> | Encyclopedic &amp; lexical data (Greek).<br /> |-<br /> | Κάλλιπος – Ανοικτά Ακαδημαϊκά Συγγράμματα<br /> | [https://repository.kallipos.gr/ repository.kallipos.gr]<br /> | PDF, EPUB<br /> | CC BY / CC<br /> | 2–5<br /> | Modern<br /> | Greek open textbooks &amp; OER.<br /> |-<br /> | Εθνικό Αρχείο Ιστού (ΕΒΕ)<br /> | [https://webarchive.nlg.gr/ webarchive.nlg.gr]<br /> | WARC/HTML (portal)<br /> | Research access / terms<br /> | 200–400<br /> | Modern<br /> | Archived Greek web content (portal access).<br /> |-<br /> | Ανοικτή Βιβλιοθήκη (Openbook)<br /> | [https://www.openbook.gr/ openbook.gr]<br /> | HTML, PDF, EPUB<br /> | Varies (often CC/open)<br /> | —<br /> | Modern<br /> | Repository of freely available Greek books.<br /> |-<br /> | Αποθετήριο Εκπαιδευτικού περιεχομένου για την Ακρόπολη<br /> | [http://repository.acropolis-education.gr/acr_edu/?locale=el repository.acropolis-education.gr]<br /> | HTML, PDF<br /> | Educational / varies<br /> | —<br /> | Modern<br /> | Educational materials related to Acropolis.<br /> |-<br /> | Ανέμη – Ψηφιακή Βιβλιοθήκη Νεοελληνικών Σπουδών<br /> | [http://anemi.lib.uoc.gr/?lang=el anemi.lib.uoc.gr]<br /> | HTML, PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Digitized books/periodicals (UOC library).<br /> |-<br /> | ΑΠΟΛΛΩΝΙΣ – Εθνική Υποδομή Ψηφιακών Ανθρωπιστικών<br /> | [https://apollonis-infrastructure.gr/ apollonis-infrastructure.gr]<br /> | Portal / aggregator<br /> | —<br /> | —<br /> | Mixed<br /> | Links to many Greek DH repositories.<br /> |-<br /> | Ψηφιακό Αρχείο Ι. Καποδίστρια<br /> | [http://kapodistrias.digitalarchive.gr/aik.php kapodistrias.digitalarchive.gr/aik.php]<br /> | HTML, images/PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Digital archive of Ioannis Kapodistrias.<br /> |-<br /> | ΨΗΦΙΑΚΟ ΑΡΧΕΙΟ Ι. ΚΑΠΟΔΙΣΤΡΙΑ (εναλλακτικός σύνδεσμος)<br /> | [http://kapodistrias.digitalarchive.gr/monuments.php?type=%CE%9F%CF%80%CF%84%CE%B9%CE%BA%CE%BF%CE%B1%CE%BA%CE%BF%CF%85%CF%83%CF%84%CE%B9%CE%BA%CE%AC%20%CF%84%CE%B5%CE%BA%CE%BC%CE%AE%CF%81%CE%B9%CE%B1/ kapodistrias.digitalarchive.gr (AV)]<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Subsection of Kapodistrias archive (audiovisual).<br /> |-<br /> | Αρχείον Οικονομικών και Κοινωνικών Επιστημών (τίτλος/συλλογή)<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:197 pandemos.panteion.gr (record)]<br /> | Portal/HTML, PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Panteion repository record (economics/social sciences).<br /> |-<br /> | Α.Σ.Κ.Ι – Αρχεία Σύγχρονης Κοινωνικής Ιστορίας<br /> | [http://askiweb.eu/index.php/el/2015-09-21-08-31-06 askiweb.eu]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Social history archives; digitized material links.<br /> |-<br /> | Α.Σ.Κ.Τ. – Βιβλιοθήκη<br /> | [http://www.library.asfa.gr/askt1/ library.asfa.gr/askt1]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Athens School of Fine Arts library portal.<br /> |-<br /> | Ψηφιακό αρχείο Βιβλιοθήκης Βουλής των Ελλήνων<br /> | [https://library.parliament.gr/Portals/6/pdf/digitalmicrofilms.pdf library.parliament.gr (PDF)]<br /> | PDF (guide)<br /> | —<br /> | —<br /> | Modern<br /> | Guide to parliamentary digital microfilms/archives.<br /> |-<br /> | Ψηφιακό Αρχείο Βιβλιοθήκης Σερρών<br /> | [http://ebooks.serrelib.gr/serrelib/ ebooks.serrelib.gr/serrelib]<br /> | HTML, PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Municipal library digitized content.<br /> |-<br /> | Αρχείο Εφημερίδων &amp; Περιοδικών (Βικελαία)<br /> | [http://vikelaia-epapers.heraklion.gr/%ce%b5%cf%86%ce%b7%ce%bc%ce%ad%cf%81%ce%b9%ce%b4%ce%b5%cf%82 vikelaia-epapers.heraklion.gr]<br /> | HTML, images/PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Historical newspapers &amp; periodicals (Heraklion).<br /> |-<br /> | Η ψηφιακή πολιτιστική συλλογή ΓΑΚ (Αρχειομνήμων)<br /> | [http://arxeiomnimon.gak.gr/index.html arxeiomnimon.gak.gr]<br /> | HTML, images/PDF<br /> | Public institution<br /> | —<br /> | Mixed<br /> | State archives platform (GAK).<br /> |-<br /> | Δανιηλίς<br /> | [http://daniilida.lis.upatras.gr/ daniilida.lis.upatras.gr]<br /> | Portal/HTML<br /> | —<br /> | —<br /> | Modern<br /> | University of Patras library collection (special).<br /> |-<br /> | Δημόσιες Βιβλιοθήκες (portal)<br /> | [http://publiclibs.ypepth.gr/frontoffice/portal.asp?cpage=NODE&amp;cnode=1 publiclibs.ypepth.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Legacy portal linking Greek public libraries.<br /> |-<br /> | Δημώδης Γραμματεία (Διγενής Ακρίτης κ.ά.)<br /> | [http://georgakas.lit.auth.gr/dimodis/ georgakas.lit.auth.gr/dimodis]<br /> | HTML, TXT<br /> | Open access<br /> | —<br /> | Byzantine / Modern<br /> | Folk literature collection (AUTH).<br /> |-<br /> | Επετηρίδες Φιλοσοφικής (ΕΒΕ)<br /> | [http://epet.nlg.gr/ epet.nlg.gr]<br /> | HTML, images/PDF<br /> | Public institution<br /> | —<br /> | Modern<br /> | Journals/series index from NLG.<br /> |-<br /> | Ευρετήριο Ψηφιοποιημένων Περιοδικών (ΕΒΕ)<br /> | [https://www.nlg.gr/static-page/eyretirio-psifiopoiimenon-periodikon/ nlg.gr (index)]<br /> | Portal<br /> | Public institution<br /> | —<br /> | Modern<br /> | Index to digitized periodicals.<br /> |-<br /> | Ελληνική Ιστορική Εταιρεία – Πρακτικά / Βυζαντιακά<br /> | [http://histsociety.web.auth.gr/ekdotiki-drastiriotita.htm histsociety.web.auth.gr]<br /> | HTML, PDF<br /> | Varies<br /> | —<br /> | Byzantine / Modern<br /> | Proceedings and journals (incl. Byzantina).<br /> |-<br /> | Ψηφιοποιημένο αρχείο Εθνικού Θεάτρου<br /> | [http://www.nt-archive.gr/ nt-archive.gr]<br /> | Portal/HTML<br /> | —<br /> | —<br /> | Modern<br /> | National Theatre digital archive.<br /> |-<br /> | Ήλιος – Αποθετήριο ΕΙΕ<br /> | [http://helios-eie.ekt.gr/EIE/ helios-eie.ekt.gr/EIE]<br /> | Portal<br /> | Varies<br /> | —<br /> | Mixed<br /> | NHRF repository (repeat listed for visibility).<br /> |-<br /> | Ψηφιοποιημένα περιοδικά (Νέα Εστία κ.ά.) – legacy EKEBI<br /> | [http://www.ekebi.gr/frontoffice/portal.asp?cpage=node&amp;cnode=488 ekebi.gr (legacy)]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Some legacy links may redirect; check availability.<br /> |-<br /> | Εθνικό Αρχείο Διδακτορικών Διατριβών (ΕΑΔΔ)<br /> | [http://www.didaktorika.gr/eadd/ didaktorika.gr/eadd]<br /> | PDF<br /> | Open access (with attribution)<br /> | —<br /> | Modern<br /> | National theses repository (EKT).<br /> |-<br /> | Eλληνική ιστοριογραφία του 20ού αιώνα – Δικτυογραφία<br /> | [http://historiography.gr/index.php/el/resources-3/63-%CE%B4%CE%B9%CE%BA%CF%84%CF%85%CE%BF%CE%B3%CF%81%CE%B1%CF%86%CE%AF%CE%B1 historiography.gr]<br /> | HTML, links<br /> | —<br /> | —<br /> | Modern<br /> | Curated links to historical resources.<br /> |-<br /> | Modern Greek History in the Digital Domain<br /> | [http://www.historiography20.gr/historydb/ historiography20.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Digital resources index for modern Greek history.<br /> |-<br /> | Ψηφιακή Βιβλιοθήκη (ΕΛΣΤΑΤ)<br /> | [http://dlib.statistics.gr dlib.statistics.gr]<br /> | PDF<br /> | Public institution<br /> | —<br /> | Modern<br /> | Statistical publications (Greek).<br /> |-<br /> | Ψηφιοποιημένο Αρχείο Ελληνικού Ινστιτούτου Βενετίας<br /> | [http://eib.xanthi.ilsp.gr/gr/default.asp/ eib.xanthi.ilsp.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Byzantine / Modern<br /> | Greek Institute of Venice digital archive.<br /> |-<br /> | Εργάνη – Ιστορικό Αρχείο Αιγαίου<br /> | [http://www.ergani-repository.gr/ergani/ ergani-repository.gr/ergani]<br /> | Portal/HTML<br /> | —<br /> | —<br /> | Modern<br /> | Aegean social history repository.<br /> |-<br /> | Εθνικό Κέντρο Τεκμηρίωσης – Βιβλιοθήκη<br /> | [http://library.ekt.gr/ library.ekt.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Library portal (EKT).<br /> |-<br /> | ΕΛΙΑ (Ελληνικά Λογοτεχνικά και Ιστορικά Αρχεία)<br /> | [http://eliaserver.elia.org.gr/elia/site/content.php eliaserver.elia.org.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Literary &amp; historical archives.<br /> |-<br /> | Επιχειρησιακό Πρόγραμμα Εκπαίδευση &amp; Δια Βίου Μάθηση – Αποθετήριο<br /> | [http://repository.edulll.gr/edulll/browse?type=typeEdulll&amp;order=DESC&amp;rpp=20&amp;value=Book&amp;sort_by=2 repository.edulll.gr]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Education &amp; lifelong learning repository.<br /> |-<br /> | Ελληνομνήμων<br /> | [http://www.lib.uoa.gr/hellinomnimon/ lib.uoa.gr/hellinomnimon]<br /> | Portal<br /> | —<br /> | —<br /> | Byzantine / Modern<br /> | Rare/old Greek texts (UoA).<br /> |-<br /> | EU Bookshop (Digital Publications)<br /> | [http://bookshop.europa.eu/el/--cbDyaep2OwDPcAAAFH2zdqoBpl/ bookshop.europa.eu]<br /> | HTML, PDF<br /> | EU Open (varies)<br /> | —<br /> | Modern<br /> | EU publications portal; Greek editions included.<br /> |-<br /> | Εταιρεία Παπαδιαμαντικών Σπουδών<br /> | [http://papadiamantis.net/ papadiamantis.net]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Works on Alexandros Papadiamantis.<br /> |-<br /> | Εταιρία Φίλων Παναγιώτη Κανελλόπουλου<br /> | [http://www.pkanellopoulos.gr/index.php/2015-02-22-14-22-13 pkanellopoulos.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Works &amp; studies on P. Kanellopoulos.<br /> |-<br /> | e-Nautilia (ebooks)<br /> | [http://www.e-nautilia.gr/books/ e-nautilia.gr/books]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Nautical/Maritime themed books/articles.<br /> |-<br /> | ΙΑΕΝ – Ιστορικό Αρχείο Ελληνικής Νεολαίας<br /> | [http://www.iaen.gr/ iaen.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Youth history archive/index.<br /> |-<br /> | Ίδρυμα Ευγενίδου – Ψηφιακή Βιβλιοθήκη<br /> | [http://www.eugenfound.edu.gr/frontoffice/portal.asp?cpage=node&amp;cnode=218 eugenfound.edu.gr]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Educational/digital library.<br /> |-<br /> | Ιστορική Συλλογή – ΙΕΠ (Σχολικά βιβλία από 1856)<br /> | [http://e-library.iep.edu.gr/iep/collection/browse/index.html e-library.iep.edu.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Historic schoolbooks (IEP).<br /> |-<br /> | Κοσμόπολις<br /> | [http://kosmopolis.lis.upatras.gr/ kosmopolis.lis.upatras.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Literary studies/collections (UoPatras).<br /> |-<br /> | ΚΘΒΕ – Ψηφιακή Βιβλιοθήκη<br /> | [http://www.ntng.gr/default.aspx?lang=el-GR&amp;page=23 ntng.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | National Theatre of Northern Greece (digital).<br /> |-<br /> | Ψηφιακό Αρχείο Κιμώλου<br /> | [http://archive.odigitria.net archive.odigitria.net]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Local cultural archive (Kimolos).<br /> |-<br /> | Μεγάλη Μουσική Βιβλιοθήκη – Ψηφιακή Βιβλιοθήκη<br /> | [http://www.mmb.org.gr/page/default.asp?la=1&amp;id=4761 mmb.org.gr]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Music library digital collections.<br /> |-<br /> | Μουσείο Τύπου ΕΣΗΕΠΗΝ (αρχεία)<br /> | [http://www.mouseiotipou.gr/arxeion-xml/pages/esiepi/internet/intro mouseiotipou.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Historical newspapers/press museum (regional).<br /> |-<br /> | Μυριόβιβλος (διορθωμένο URL)<br /> | [http://myriobiblos.gr/library%20home.htm myriobiblos.gr]<br /> | HTML, PDF<br /> | Public domain / varies<br /> | —<br /> | Byzantine / Modern<br /> | Christian &amp; cultural texts.<br /> |-<br /> | Ψηφιοποιημένο Αρχείο «Νεοελληνικών Αναγνωσμάτων» (1884–1977)<br /> | [http://users.sch.gr/chkoumpar/NAfiles.html users.sch.gr/chkoumpar/NAfiles.html]<br /> | PDF, HTML<br /> | —<br /> | —<br /> | Modern<br /> | Digitized readers (educational).<br /> |-<br /> | Ορθόδοξη Ψηφιακή Θεολογική Βιβλιοθήκη<br /> | [http://www.imdlibrary.gr/index.php/el/#/ imdlibrary.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Byzantine / Modern<br /> | Theological texts (digital library).<br /> <br /> |-<br /> | Πάνδημος (specific record)<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:19 pandemos.panteion.gr (record)]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Specific Panteion repository entry.<br /> |-<br /> | Παρουσία (UoA journal platform)<br /> | [http://epub.lib.uoa.gr/index.php/parousia/index epub.lib.uoa.gr]<br /> | HTML, PDF<br /> | Open access (journal policy)<br /> | —<br /> | Modern<br /> | University of Athens journals platform.<br /> |-<br /> | Πέργαμος (UoA)<br /> | [http://pergamos.lib.uoa.gr/dl/index pergamos.lib.uoa.gr/dl/index]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | UoA digital collections platform.<br /> |-<br /> | Ινστιτούτο Παστέρ – Ιστορικό Αρχείο<br /> | [http://www.pasteur.gr/ha/%CE%95%CE%BB%CE%BB%CE%B7%CE%BD%CE%B9%CE%BA%CF%8C pasteur.gr (Ιστορικό Αρχείο)]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Historical archive of Institut Pasteur (GR).<br /> |-<br /> | Πλειάς (UoPatras)<br /> | [http://pleias.lis.upatras.gr/index.php/index/index pleias.lis.upatras.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Academic repository platform (OJS/DSpace).<br /> |-<br /> | Ψηφιοθήκη (AUTH)<br /> | [http://digital.lib.auth.gr/ digital.lib.auth.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | AUTH digital library (various collections).<br /> |-<br /> | ΙΚΕΕ (AUTH Institutional Repository)<br /> | [http://ikee.lib.auth.gr/ ikee.lib.auth.gr]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Institutional repository (AUTH).<br /> |-<br /> | INVENIO (note)<br /> | [http://ikee.lib.auth.gr/ ikee.lib.auth.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Platform reference; same base as IKΕΕ (AUTH).<br /> |-<br /> | Ηλ. Αρχείο Διπλωματικών Εργασιών ΣΑΜ ΕΜΠ<br /> | [http://courses.arch.ntua.gr/el/diatmhmatiko_programma_metaptyxiakvn_spoydvn__sxediasmos_-_xvros_-_politismos/diplvmatikes_metaptyxiakes_ergasies/hlektroniko_arxeio_diplvmatikvn_ergasivn.html courses.arch.ntua.gr (ΣΑΜ ΕΜΠ)]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | NTUA School of Architecture theses.<br /> |-<br /> | Apothesis (ΕΑΠ)<br /> | [https://apothesis.eap.gr/ apothesis.eap.gr]<br /> | PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Hellenic Open University repository.<br /> |-<br /> | Ψηφιακή Βιβλιοθήκη Γκρίζας Βιβλιογραφίας (UoA)<br /> | [http://efessos.lib.uoa.gr/greylit.nsf efessos.lib.uoa.gr/greylit.nsf]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Grey literature repository (UoA).<br /> |-<br /> | Ψηφιακές Συλλογές (UoIoannina – help page)<br /> | [http://www.uoi.gr/gr/help/digital_libraries.php uoi.gr (help)]<br /> | HTML, links<br /> | —<br /> | —<br /> | Modern<br /> | Entry page; collections under subdomains.<br /> |-<br /> | Ψηφιακή Βιβλιοθήκη (UoIoannina)<br /> | [http://pc-3.lib.uoi.gr/digital/ pc-3.lib.uoi.gr/digital]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Institutional digital library (UoI).<br /> |-<br /> | Βάση/Μεταδεδομένα – Εργαστήριο Νεοελ. Φιλοσοφίας<br /> | [http://www.kenef.phil.uoi.gr/ kenef.phil.uoi.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Lab of Modern Greek Philosophy (UoI).<br /> |-<br /> | Ιδρυματικό Αποθετήριο Παν. Θεσσαλίας<br /> | [http://ir.lib.uth.gr/?locale-attribute=el ir.lib.uth.gr]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | University of Thessaly repository.<br /> |-<br /> | E-Locus (UoCrete)<br /> | [http://elocus.lib.uoc.gr/ elocus.lib.uoc.gr]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | University of Crete repository.<br /> |-<br /> | Πανεπιστήμιο Κύπρου – Διδακτορικές Διατριβές<br /> | [http://lekythos.library.ucy.ac.cy/handle/10797/281?locale-attribute=el/ lekythos.library.ucy.ac.cy]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | UCY theses collection (Lekythos).<br /> |-<br /> | Ψηφίδα – Βιβλιοθήκη Νεοελληνικών Σπουδών (UoM)<br /> | [https://dspace.lib.uom.gr/ dspace.lib.uom.gr]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | University of Macedonia DSpace.<br /> |-<br /> | Νημερτής (UoPatras)<br /> | [http://nemertes.lis.upatras.gr/jspui/ nemertes.lis.upatras.gr/jspui]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | University of Patras DSpace.<br /> |-<br /> | Πάνδημος – Ψηφιακή Βιβλιοθήκη (Panteion)<br /> | [http://pandemos.panteion.gr/ pandemos.panteion.gr]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Panteion University repository (multiple series).<br /> |-<br /> | Ταινιοθήκη της Ελλάδος – Ψηφιακή συλλογή<br /> | [http://www.tainiothiki.gr/el/tainiothiki-tis-ellados/profil/ tainiothiki.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Film museum portal; some text metadata.<br /> |-<br /> | ΤΕΕ – Βιβλιοθήκη<br /> | [http://portal.tee.gr/portal/page/portal/library portal.tee.gr]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Technical Chamber of Greece library portal.<br /> |-<br /> | ΤΕΕ – OPAC / Ψηφιακές Συλλογές<br /> | [http://opac.tee.gr opac.tee.gr]<br /> | OPAC<br /> | —<br /> | —<br /> | Modern<br /> | Online public access catalogue (TEE).<br /> |-<br /> | Ψηφιακό Σχολείο (νέα πύλη)<br /> | [https://www.ebooks.edu.gr/ ebooks.edu.gr]<br /> | HTML, PDF<br /> | CC (educational)<br /> | —<br /> | Modern<br /> | Main portal (replacing legacy /2013/ URL).<br /> |-<br /> | Κυπριακή Βιβλιοθήκη – Ψηφιακή Πλατφόρμα<br /> | [http://www.cyprusdigitallibrary.org.cy/ cyprusdigitallibrary.org.cy]<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Cyprus digital library platform.<br /> |-<br /> | Εκπαιδευτικά Περιοδικά Ανοιχτής Πρόσβασης (index)<br /> | [http://www.pi-schools.gr/library/pi-lib/hb_ejournals.htm pi-schools.gr]<br /> | HTML, links<br /> | —<br /> | —<br /> | Modern<br /> | Open-access educational journals index.<br /> |-<br /> | Ηλεκτρονικά Περιοδικά Νεοελληνικής Λογοτεχνίας (GSGL)<br /> | [http://www.greek-language.gr/greekLang/literature/guides/net/greek/greek_05.html greek-language.gr]<br /> | HTML, links<br /> | —<br /> | —<br /> | Modern<br /> | Guide to literary e-journals/pages.<br /> |-<br /> | Πλατφόρμα Ηλεκτρ. Επιστημονικών Περιοδικών (EKT)<br /> | [http://ejournals.epublishing.ekt.gr/ ejournals.epublishing.ekt.gr]<br /> | HTML, PDF<br /> | Open access / varies<br /> | —<br /> | Modern<br /> | EKT journal platform (broad coverage).<br /> |-<br /> | OJS – Πανεπιστήμιο Μακεδονίας<br /> | [https://ojs.lib.uom.gr/ ojs.lib.uom.gr]<br /> | HTML, PDF<br /> | Open access / varies<br /> | —<br /> | Modern<br /> | University of Macedonia’s OJS journals.<br /> |-<br /> | Σύγχρονη Ελληνική Ποίηση (συλλογή)<br /> | [http://genesis.ee.auth.gr/dimakis/poetry.html genesis.ee.auth.gr/dimakis/poetry.html]<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Curated poetry collection (AUTH).<br /> |-<br /> | Αντί: δεκαπενθήμερη πολιτική επιθεώρηση<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:486 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record at Panteion repository.<br /> |-<br /> | Αρχαιολογία και Τέχνες (αρχείο τευχών)<br /> | [http://www.archaiologia.gr/%CE%B1%CF%81%CF%87%CE%B5%CE%AF%CE%BF-%CF%84%CE%B5%CF%85%CF%87%CF%8E%CE%BD/ archaiologia.gr (issues)]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Magazine issues archive.<br /> |-<br /> | Αρχεία Ελληνικής Ιατρικής<br /> | [http://www.mednet.gr/archives/current-gr.html mednet.gr/archives]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Medical journal archive.<br /> |-<br /> | Γλωσσολογία (UoA)<br /> | [http://glossologia.phil.uoa.gr/node/114/ glossologia.phil.uoa.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal/department resources (UoA Philology).<br /> |-<br /> | Γράμματα και Τέχνες (DUTH)<br /> | [https://helit.duth.gr/mgcllab-dp1/#1593421365645-4ead6f09-86a0 helit.duth.gr (anchor)]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | DUTH materials (anchor link page).<br /> |-<br /> | Δελτίον Ελληνικής Γεωλογικής Εταιρίας<br /> | [http://geolib.geo.auth.gr/index.php/bgsg/issue/archive geolib.geo.auth.gr/bgsg]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Geological Society journal (AUTH hosting).<br /> |-<br /> | Δελτίον Ελληνικής Σπηλαιολογικής Εταιρίας<br /> | [http://geolib.geo.auth.gr/index.php/bssg/issue/archive geolib.geo.auth.gr/bssg]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Speleological Society journal (AUTH hosting).<br /> |-<br /> | Διαβάζω (archive)<br /> | [http://diavazo.gr/arxeio/?product_type=book diavazo.gr/arxeio]<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Archive/Index of “Διαβάζω”.<br /> |-<br /> | Διαλεκτική (θεωρητικός-πολιτικός διάλογος)<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:581 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Δοκιμές<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:53 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Ελληνικά (ΕΜΣ)<br /> | [http://www.ems.gr/analytikos-katalogos-ekdoseon/ellinika/ellinika-14-2.html ems.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal info (ΕΜΣ).<br /> |-<br /> | Ελληνική Επιθεώρηση Εγκληματολογίας<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:584 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Επιθεώρηση αποκέντρωσης Τ.Α. &amp; περιφερειακής ανάπτυξης<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:191 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Επιθεώρηση οικονομικών &amp; πολιτικών επιστημών (1946–1967)<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:784 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Επιστημονική Επετηρίς (Φυσικομαθηματικών – ΑΠΘ)<br /> | [http://geolib.geo.auth.gr/index.php/saas/issue/archive geolib.geo.auth.gr/saas]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Series archive (AUTH geolib).<br /> |-<br /> | Επιστημονικό Δίκτυο Εκπαίδευσης Ενηλίκων<br /> | [http://cretaadulteduc.gr/blog/ cretaadulteduc.gr/blog]<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Blog/resources for adult education (Crete).<br /> |-<br /> | Ευλογία (ΙΜΘ)<br /> | [http://www.imth.gr/default.aspx?page=153 imth.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Periodical of Metropolis of Thessaloniki.<br /> |-<br /> | Εφημέριος (Εκκλησία της Ελλάδος)<br /> | [http://www.ecclesia.gr/greek/press/efimerios/show_content.asp?what=tefxi ecclesia.gr/efimerios]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Clergy periodical archive.<br /> |-<br /> | Ηθική (ΕΚΕΔΑ)<br /> | [http://www.ethics.gr/content.php?category=16 ethics.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Ethics center publications (EL).<br /> |-<br /> | Θέσεις<br /> | [http://www.theseis.com/index.php?option=com_content&amp;task=section&amp;id=4&amp;Itemid=29 theseis.com]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal archive (Positions).<br /> |-<br /> | Κρητικά Χρονικά<br /> | [http://ir.lib.uth.gr/handle/11615/9200 ir.lib.uth.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Hosted in UTh repository.<br /> |-<br /> | Λεβιάθαν<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:29 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Νέα Κοινωνιολογία<br /> | [http://www.newsociology.gr/teyxh.html newsociology.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal issues (site).<br /> |-<br /> | Ο Νουμάς<br /> | [http://xantho.lis.upatras.gr/kosmopolis/index.php/noumas/issue/view/1055 xantho.lis.upatras.gr/kosmopolis (Νουμάς)]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Digitized periodical (UoPatras Kosmopolis).<br /> |-<br /> | Ο Πολίτης (1976–1995 &amp; 1998–2005) – ψηφιοποιημένο<br /> | [http://www.askiweb.eu/index.php/el/2-uncategorised/235-2015-09-17-09-57-19 askiweb.eu]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | ASKI digitized periodical.<br /> |-<br /> | Ολκάς – Ι. Μητρόπολη Λέρου Καλύμνου &amp; Αστυπάλαιας<br /> | [http://www.im-leka.gr/index.php?categoryid=22 im-leka.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Periodical/issues page (ecclesiastical).<br /> |-<br /> | Ουτοπία<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:65 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Πανεπιστήμιο (περιοδικό)<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:535 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Πειραϊκή Εκκλησία<br /> | [http://www.imp.gr/periodiko/%CE%B1%CF%81%CF%87%CE%B5%CE%B9%CE%BF-%CF%84%CE%B5%CF%85%CF%87%CF%89%CE%BD-%CF%80%CE%B5%CF%81%CE%B9%CE%BF%CE%B4%CE%B9%CE%BA%CE%BF%CF%85.html imp.gr (Πειραϊκή Εκκλησία)]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Periodical archive (Metropolis of Piraeus).<br /> |-<br /> | Πολιτική οικονομία (1997–2004)<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:639 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Σύγχρονα Θέματα (επιστημονικής έρευνας)<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:842 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Σύγχρονα Θέματα (τριμηνιαία έκδοση)<br /> | [http://www.synchronathemata.gr/archio-tefchon/ synchronathemata.gr]<br /> | HTML, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal issues archive (site).<br /> |-<br /> | Σχολιαστής<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:212 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Τετράδια: Πολιτικού Διαλόγου Έρευνας και Κριτικής<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:22 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Το Βήμα του Ασκληπιού<br /> | [http://www.vima-asklipiou.gr/ vima-asklipiou.gr]<br /> | HTML, PDF<br /> | Open access<br /> | —<br /> | Modern<br /> | Health/medicine journal (Greek).<br /> |-<br /> | Φλέα – Ιστορικός Όμιλος Νάξου ΑΡΣόΣ<br /> | [http://arsosnaxos.blogspot.gr/p/blog-page_26.html arsosnaxos.blogspot.gr]<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Cultural periodical archive (blog).<br /> |-<br /> | Ψυχολογία (Ελληνική Ψυχολογική Εταιρεία)<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:609 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Ψυχολογικά Θέματα<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:214 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Greek Migration News<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:51 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | News/analysis record (Panteion).<br /> |-<br /> | Intellectum<br /> | [http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:23 pandemos.panteion.gr (record)]<br /> | Portal, PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Λεξικό Λειψίας (PDF sample)<br /> | [http://research.uni-leipzig.de/giannis/Philosophie/Gedicht%204.pdf research.uni-leipzig.de (PDF)]<br /> | PDF<br /> | —<br /> | —<br /> | Ancient / Modern<br /> | Sample PDF (reference/teaching).<br /> |-<br /> | Λεξικό Τριανταφυλλίδη (Πύλη)<br /> | [http://www.greek-language.gr/greekLang/modern_greek/tools/lexica/triantafyllides/ greek-language.gr (Triantafyllidis)]<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Modern Greek dictionary portal.<br /> |-<br /> | Λεξικό της ελληνικής ως ξένης γλώσσας (PDF)<br /> | [http://www.diapolis.auth.gr/diapolis_files/drasi9/ypodrasi9.2b_2013/4_%CE%A7%CF%81%CE%AE%CF%83%CE%B9%CE%BC%CE%B5%CF%82%20%CE%A3%CF%85%CE%BD%CE%B4%CE%AD%CF%83%CE%B5%CE%B9%CF%82%20&amp;%20%CE%A5%CF%80%CE%BF%CF%83%CF%84%CE%B7%CF%81%CE%B9%CE%BA%CF%84%CE%B9%CE%BA%CF%8C%20%CF%85%CE%BB%CE%B9%CE%BA%CF%8C/4.7_%CE%9B%CE%B5%CE%BE%CE%B9%CE%BA%CE%AC/%CE%9B%CE%B5%CE%BE%CE%B9%CE%BA%CF%8C%20%CE%95%CE%BB%CE%BB%CE%B7%CE%BD%CE%B9%CE%BA%CE%AE%CF%82%20%CF%89%CF%82%20%CE%BE%CE%AD%CE%BD%CE%B7%CF%82.pdf diapolis.auth.gr (PDF)]<br /> | PDF<br /> | —<br /> | —<br /> | Modern<br /> | PDF resource (AUTH Diapolis).<br /> |-<br /> | Βικιλεξικό: Πηγές ελεύθερης πρόσβασης<br /> | [https://el.wiktionary.org/wiki/%CE%92%CE%B9%CE%BA%CE%B9%CE%BB%CE%B5%CE%BE%CE%B9%CE%BA%CF%8C:%CE%92%CE%B9%CE%B2%CE%BB%CE%B9%CE%BF%CE%B8%CE%AE%CE%BA%CE%B7/%CE%A0%CE%B7%CE%B3%CE%AD%CF%82_%CE%B5%CE%BB%CE%B5%CF%8D%CE%B8%CE%B5%CF%81%CE%B7%CF%82_%CF%80%CF%81%CF%8C%CF%83%CE%B2%CE%B1%CF%83%CE%B7%CF%82 el.wiktionary.org]<br /> | HTML, links<br /> | CC BY-SA<br /> | —<br /> | Modern<br /> | Index of open Greek linguistic/text resources.<br /> |-<br /> | TOTAL (approx., unique after deduplication)<br /> | —<br /> | —<br /> | —<br /> | 360–590<br /> | All<br /> | Estimated unique Greek text volume (GB).<br /> |}</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%9A%CE%B1%CF%84%CE%AC%CE%BB%CE%BF%CE%B3%CE%BF%CF%82_%CE%A0%CE%B7%CE%B3%CF%8E%CE%BD_%CE%95%CE%BB%CE%BB%CE%B7%CE%BD%CE%B9%CE%BA%CF%8E%CE%BD_%CE%9A%CE%B5%CE%B9%CE%BC%CE%AD%CE%BD%CF%89%CE%BD_-_GlossAPI_Backlog&diff=2449 2025-11-03T07:32:53Z

<p>Pkst: Ανάκληση των αλλαγών Pkst (συζήτηση) επιστροφή στην προηγούμενη αναθεώρηση Ellak-editor</p> <hr /> <div>{| class=&quot;wikitable sortable&quot;<br /> |-<br /> ! style=&quot;text-align:right;&quot; | Title<br /> ! style=&quot;text-align:right;&quot; | URL<br /> ! style=&quot;text-align:right;&quot; | Format<br /> ! style=&quot;text-align:right;&quot; | Licence<br /> ! style=&quot;text-align:right;&quot; | Size (GB)<br /> ! style=&quot;text-align:right;&quot; | Domain<br /> ! style=&quot;text-align:right;&quot; | Notes<br /> |-<br /> | Perseus Digital Library<br /> | https://www.perseus.tufts.edu/hopper/opensource<br /> | TEI/XML, morph<br /> | CC BY-SA<br /> | 15–20<br /> | Ancient<br /> | Core classical Greek; downloadable datasets &amp; tools.<br /> |-<br /> | Open Greek and Latin (OGL)<br /> | https://opengreekandlatin.github.io/<br /> | TEI/XML<br /> | CC (varies)<br /> | 25–30<br /> | Ancient / Byzantine<br /> | Expanded corpus incl. late antiquity &amp; Byzantine; overlaps with Perseus.<br /> |-<br /> | First1KGreek (Harvard CHS)<br /> | https://github.com/First1KGreek<br /> | TEI/XML (Git)<br /> | CC BY 4.0<br /> | 8–12<br /> | Ancient / Byzantine<br /> | First millennium Greek works (TEI-encoded).<br /> |-<br /> | Ancient Greek Dependency Treebank (AGDT)<br /> | https://github.com/PerseusDL/treebank_data<br /> | CoNLL, XML<br /> | CC BY-SA<br /> | &lt;0.1<br /> | Ancient<br /> | Parsed/labeled data aligned to classical texts.<br /> |-<br /> | Scaife Viewer Corpus<br /> | https://scaife.perseus.org/<br /> | API/JSON, TEI<br /> | CC (where applicable)<br /> | —<br /> | Ancient<br /> | API access to Perseus/OGL corpora.<br /> |-<br /> | Thesaurus Linguae Graecae (TLG)<br /> | https://stephanus.tlg.uci.edu/<br /> | Platform (TEI/TXT)<br /> | Licensed (institutional)<br /> | —<br /> | Ancient / Byzantine<br /> | Comprehensive corpus; subscription access.<br /> |-<br /> | Dumbarton Oaks Hagiography Database<br /> | https://www.doaks.org/resources/hagiography<br /> | TEI, HTML<br /> | Open access<br /> | 3–5<br /> | Byzantine<br /> | Hagiographic texts &amp; prosopography.<br /> |-<br /> | Patrologia Graeca – Documenta Catholica Omnia<br /> | http://www.documentacatholicaomnia.eu/<br /> | HTML, PDF/TXT<br /> | Public domain<br /> | 40–60<br /> | Byzantine<br /> | Patristic Greek; OCR quality varies.<br /> |-<br /> | mC4 (Greek subset)<br /> | https://www.tensorflow.org/datasets/catalog/c4<br /> | TFDS/TXT (derived)<br /> | Research use (see card)<br /> | 340–430<br /> | Modern<br /> | Large web corpus; needs filtering &amp; deduplication.<br /> |-<br /> | OSCAR 23.01 (Greek)<br /> | https://huggingface.co/datasets/oscar-corpus/OSCAR-2301<br /> | JSONL/TXT<br /> | CC BY 4.0<br /> | 70–85<br /> | Modern<br /> | Cleaned Common Crawl (Greek portion).<br /> |-<br /> | ELRC-SHARE (Greek Parallel)<br /> | https://elrc-share.eu/<br /> | TMX, XML, TXT<br /> | Varies (per corpus)<br /> | 5–10<br /> | Modern<br /> | Parallel corpora for admin/law/education.<br /> |-<br /> | OPUS (Greek Parallel Corpora)<br /> | https://opus.nlpl.eu/<br /> | TMX, TXT<br /> | Open (varies)<br /> | Several GB<br /> | Modern<br /> | Multiple bilingual corpora (e.g., OpenSubtitles, DGT, etc.).<br /> |-<br /> | Wikimedia dumps (elwiki, elwiktionary)<br /> | https://dumps.wikimedia.org/<br /> | XML, SQL (bz2)<br /> | CC BY-SA 3.0<br /> | 5–10<br /> | Modern<br /> | Encyclopedic &amp; lexical data (Greek).<br /> |-<br /> | Κάλλιπος – Ανοικτά Ακαδημαϊκά Συγγράμματα<br /> | https://repository.kallipos.gr/<br /> | PDF, EPUB<br /> | CC BY / CC<br /> | 2–5<br /> | Modern<br /> | Greek open textbooks &amp; OER.<br /> |-<br /> | Εθνικό Αρχείο Ιστού (ΕΒΕ)<br /> | https://webarchive.nlg.gr/<br /> | WARC/HTML (portal)<br /> | Research access / terms<br /> | 200–400<br /> | Modern<br /> | Archived Greek web content (portal access).<br /> |-<br /> | Ανοικτή Βιβλιοθήκη (Openbook)<br /> | https://www.openbook.gr/<br /> | HTML, PDF, EPUB<br /> | Varies (often CC/open)<br /> | —<br /> | Modern<br /> | Repository of freely available Greek books.<br /> |-<br /> | Αποθετήριο Εκπαιδευτικού περιεχομένου για την Ακρόπολη<br /> | http://repository.acropolis-education.gr/acr_edu/?locale=el<br /> | HTML, PDF<br /> | Educational / varies<br /> | —<br /> | Modern<br /> | Educational materials related to Acropolis.<br /> |-<br /> | Ανέμη – Ψηφιακή Βιβλιοθήκη Νεοελληνικών Σπουδών<br /> | http://anemi.lib.uoc.gr/?lang=el<br /> | HTML, PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Digitized books/periodicals (UOC library).<br /> |-<br /> | ΑΠΟΛΛΩΝΙΣ – Εθνική Υποδομή Ψηφιακών Ανθρωπιστικών<br /> | https://apollonis-infrastructure.gr/<br /> | Portal / aggregator<br /> | —<br /> | —<br /> | Mixed<br /> | Links to many Greek DH repositories.<br /> |-<br /> | Ψηφιακό Αρχείο Ι. Καποδίστρια<br /> | http://kapodistrias.digitalarchive.gr/aik.php<br /> | HTML, images/PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Digital archive of Ioannis Kapodistrias.<br /> |-<br /> | Αρχείον Οικονομικών και Κοινωνικών Επιστημών (τίτλος/συλλογή)<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:197<br /> | Portal/HTML, PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Panteion repository record (economics/social sciences).<br /> |-<br /> | Α.Σ.Κ.Ι – Αρχεία Σύγχρονης Κοινωνικής Ιστορίας<br /> | http://askiweb.eu/index.php/el/2015-09-21-08-31-06<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Social history archives; digitized material links.<br /> |-<br /> | Α.Σ.Κ.Τ. – Βιβλιοθήκη<br /> | http://www.library.asfa.gr/askt1/<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Athens School of Fine Arts library portal.<br /> |-<br /> | Ψηφιακό αρχείο Βιβλιοθήκης Βουλής των Ελλήνων<br /> | https://library.parliament.gr/Portals/6/pdf/digitalmicrofilms.pdf<br /> | PDF (guide)<br /> | —<br /> | —<br /> | Modern<br /> | Guide to parliamentary digital microfilms/archives.<br /> |-<br /> | Ψηφιακό Αρχείο Βιβλιοθήκης Σερρών<br /> | http://ebooks.serrelib.gr/serrelib/<br /> | HTML/PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Municipal library digitized content.<br /> |-<br /> | Αρχείο Εφημερίδων &amp; Περιοδικών (Βικελαία)<br /> | http://vikelaia-epapers.heraklion.gr/%ce%b5%cf%86%ce%b7%ce%bc%ce%b5%cf%81%ce%af%ce%b4%ce%b5%cf%82<br /> | HTML, images/PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Historical newspapers &amp; periodicals (Heraklion).<br /> |-<br /> | Μελέτες/Μονογραφίες – Αρχαιολογική Εταιρεία<br /> | https://www.archetai.gr/index.php?p=content&amp;section=1&amp;id=19&amp;lang=<br /> | HTML, PDF<br /> | Varies<br /> | —<br /> | Ancient / Byzantine / Modern<br /> | Publications of the Archaeological Society at Athens.<br /> |-<br /> | Η ψηφιακή πολιτιστική συλλογή ΓΑΚ (Αρχειομνήμων)<br /> | http://arxeiomnimon.gak.gr/index.html<br /> | HTML, images/PDF<br /> | Public institution<br /> | —<br /> | Mixed<br /> | State archives platform (GAK).<br /> |-<br /> | Δανιηλίς<br /> | http://daniilida.lis.upatras.gr/<br /> | Portal/HTML<br /> | —<br /> | —<br /> | Modern<br /> | University of Patras library collection (special).<br /> |-<br /> | Δημόσιες Βιβλιοθήκες (portal)<br /> | http://publiclibs.ypepth.gr/frontoffice/portal.asp?cpage=NODE&amp;cnode=1<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Legacy portal linking Greek public libraries.<br /> |-<br /> | Δημώδης Γραμματεία (Διγενής Ακρίτης κ.ά.)<br /> | http://georgakas.lit.auth.gr/dimodis/<br /> | HTML, TXT<br /> | Open access<br /> | —<br /> | Byzantine / Modern<br /> | Folk literature collection (AUTH).<br /> |-<br /> | Επετηρίδες Φιλοσοφικής (ΕΒΕ)<br /> | http://epet.nlg.gr/<br /> | HTML, images/PDF<br /> | Public institution<br /> | —<br /> | Modern<br /> | Journals/series index from NLG.<br /> |-<br /> | Ευρετήριο Ψηφιοποιημένων Περιοδικών (ΕΒΕ)<br /> | https://www.nlg.gr/static-page/eyretirio-psifiopoiimenon-periodikon/<br /> | Portal<br /> | Public institution<br /> | —<br /> | Modern<br /> | Index to digitized periodicals.<br /> |-<br /> | Ελληνική Ιστορική Εταιρεία – Πρακτικά / Βυζαντιακά<br /> | http://histsociety.web.auth.gr/ekdotiki-drastiriotita.htm<br /> | HTML, PDF<br /> | Varies<br /> | —<br /> | Byzantine / Modern<br /> | Proceedings and journals (incl. Byzantina).<br /> |-<br /> | Ψηφιοποιημένο αρχείο Εθνικού Θεάτρου<br /> | http://www.nt-archive.gr/<br /> | Portal/HTML<br /> | —<br /> | —<br /> | Modern<br /> | National Theatre digital archive.<br /> |-<br /> | Ήλιος – Αποθετήριο ΕΙΕ<br /> | http://helios-eie.ekt.gr/EIE/<br /> | Portal<br /> | Varies<br /> | —<br /> | Mixed<br /> | NHRF repository (repeat listed for visibility).<br /> |-<br /> | Ψηφιοποιημένα περιοδικά (Νέα Εστία κ.ά.) – (legacy EKEBI link)<br /> | http://www.ekebi.gr/frontoffice/portal.asp?cpage=node&amp;cnode=488<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Some legacy links may redirect; check availability.<br /> |-<br /> | Εθνικό Αρχείο Διδακτορικών Διατριβών (ΕΑΔΔ)<br /> | http://www.didaktorika.gr/eadd/<br /> | PDF<br /> | Open access (with attribution)<br /> | —<br /> | Modern<br /> | National theses repository (EKT).<br /> |-<br /> | Eλληνική ιστοριογραφία του 20ού αιώνα – Δικτυογραφία<br /> | http://historiography.gr/index.php/el/resources-3/63-%CE%B4%CE%B9%CE%BA%CF%84%CF%85%CE%BF%CE%B3%CF%81%CE%B1%CF%86%CE%AF%CE%B1<br /> | HTML/links<br /> | —<br /> | —<br /> | Modern<br /> | Curated links to historical resources.<br /> |-<br /> | Modern Greek History in the Digital Domain<br /> | http://www.historiography20.gr/historydb/<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Digital resources index for modern Greek history.<br /> |-<br /> | Ψηφιακή Βιβλιοθήκη (ΕΛΣΤΑΤ)<br /> | http://dlib.statistics.gr<br /> | PDF<br /> | Public institution<br /> | —<br /> | Modern<br /> | Statistical publications (Greek).<br /> |-<br /> | Ψηφιοποιημένο Αρχείο Ελληνικού Ινστιτούτου Βενετίας<br /> | http://eib.xanthi.ilsp.gr/gr/default.asp/<br /> | Portal<br /> | —<br /> | —<br /> | Byzantine / Modern<br /> | Greek Institute of Venice digital archive.<br /> |-<br /> | Εργάνη – Ιστορικό Αρχείο Αιγαίου<br /> | http://www.ergani-repository.gr/ergani/<br /> | Portal/HTML<br /> | —<br /> | —<br /> | Modern<br /> | Aegean social history repository.<br /> |-<br /> | Εθνικό Κέντρο Τεκμηρίωσης – Βιβλιοθήκη<br /> | http://library.ekt.gr/<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Library portal (EKT).<br /> |-<br /> | ΕΛΙΑ (Ελληνικά Λογοτεχνικά και Ιστορικά Αρχεία)<br /> | http://eliaserver.elia.org.gr/elia/site/content.php<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Literary &amp; historical archives.<br /> |-<br /> | Επιχειρησιακό Πρόγραμμα Εκπαίδευση &amp; Δια Βίου Μάθηση – Αποθετήριο<br /> | http://repository.edulll.gr/edulll/browse?type=typeEdulll&amp;order=DESC&amp;rpp=20&amp;value=Book&amp;sort_by=2<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Education &amp; lifelong learning repository.<br /> |-<br /> | Ελληνομνήμων<br /> | http://www.lib.uoa.gr/hellinomnimon/<br /> | Portal<br /> | —<br /> | —<br /> | Byzantine / Modern<br /> | Rare/old Greek texts (UoA).<br /> |-<br /> | EU Bookshop (Digital Publications)<br /> | http://bookshop.europa.eu/el/--cbDyaep2OwDPcAAAFH2zdqoBpl/<br /> | HTML/PDF<br /> | EU Open (varies)<br /> | —<br /> | Modern<br /> | EU publications portal; Greek editions included.<br /> |-<br /> | Εταιρεία Παπαδιαμαντικών Σπουδών<br /> | http://papadiamantis.net/<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Works on Alexandros Papadiamantis.<br /> |-<br /> | Εταιρία Φίλων Παναγιώτη Κανελλόπουλου<br /> | http://www.pkanellopoulos.gr/index.php/2015-02-22-14-22-13<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Works &amp; studies on P. Kanellopoulos.<br /> |-<br /> | e-Nautilia (ebooks)<br /> | http://www.e-nautilia.gr/books/<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Nautical/Maritime themed books/articles.<br /> |-<br /> | ΙΑΕΝ – Ιστορικό Αρχείο Ελληνικής Νεολαίας<br /> | http://www.iaen.gr/<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Youth history archive/index.<br /> |-<br /> | Ίδρυμα Ευγενίδου – Ψηφιακή Βιβλιοθήκη<br /> | http://www.eugenfound.edu.gr/frontoffice/portal.asp?cpage=node&amp;cnode=218<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Educational/digital library.<br /> |-<br /> | Ιστορική Συλλογή – ΙΕΠ (Σχολικά βιβλία από 1856)<br /> | http://e-library.iep.edu.gr/iep/collection/browse/index.html<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Historic schoolbooks (IEP).<br /> |-<br /> | Κοσμόπολις<br /> | http://kosmopolis.lis.upatras.gr/<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Literary studies/collections (UoPatras).<br /> |-<br /> | ΚΘΒΕ – Ψηφιακή Βιβλιοθήκη<br /> | http://www.ntng.gr/default.aspx?lang=el-GR&amp;page=23<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | National Theatre of Northern Greece (digital).<br /> |-<br /> | ΨΗΦΙΑΚΟ ΑΡΧΕΙΟ Ι. ΚΑΠΟΔΙΣΤΡΙΑ (εναλλακτικός σύνδεσμος)<br /> | http://kapodistrias.digitalarchive.gr/monuments.php?type=%CE%9F%CF%80%CF%84%CE%B9%CE%BA%CE%BF%CE%B1%CE%BA%CE%BF%CF%85%CF%83%CF%84%CE%B9%CE%BA%CE%AC%20%CF%84%CE%B5%CE%BA%CE%BC%CE%AE%CF%81%CE%B9%CE%B1/<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Subsection of Kapodistrias archive (audiovisual).<br /> |-<br /> | Ψηφιακό Αρχείο Κιμώλου<br /> | http://archive.odigitria.net<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Local cultural archive (Kimolos).<br /> |-<br /> | Μεγάλη Μουσική Βιβλιοθήκη – Ψηφιακή Βιβλιοθήκη<br /> | http://www.mmb.org.gr/page/default.asp?la=1&amp;id=4761<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Music library digital collections.<br /> |-<br /> | Μικρός Απόπλους – Αρχαία Ελληνικά Κείμενα<br /> | http://www.mikrosapoplous.gr/t2t.htm<br /> | HTML/TXT<br /> | Open access<br /> | —<br /> | Ancient<br /> | (Duplicate listed intentionally for visibility with the ancient block.)<br /> |-<br /> | Μουσείο Τύπου ΕΣΗΕΠΗΝ (αρχεία)<br /> | http://www.mouseiotipou.gr/arxeion-xml/pages/esiepi/internet/intro<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Historical newspapers/press museum (regional).<br /> |-<br /> | Μυριόβιβλος (διόρθωση URL)<br /> | http://myriobiblos.gr/library%20home.htm<br /> | HTML/PDF<br /> | Public domain / varies<br /> | —<br /> | Byzantine / Modern<br /> | Christian &amp; cultural texts; corrected link (removed double http).<br /> |-<br /> | Ψηφιοποιημένο Αρχείο «Νεοελληνικών Αναγνωσμάτων» (1884–1977)<br /> | http://users.sch.gr/chkoumpar/NAfiles.html<br /> | PDF/HTML<br /> | —<br /> | —<br /> | Modern<br /> | Digitized readers (educational).<br /> |-<br /> | Ορθόδοξη Ψηφιακή Θεολογική Βιβλιοθήκη<br /> | http://www.imdlibrary.gr/index.php/el/#/<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Byzantine / Modern<br /> | Theological texts (digital library).<br /> |-<br /> | Πάνδημος (specific record)<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:19<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Specific Panteion repository entry.<br /> |-<br /> | Παρουσία (UoA journal platform)<br /> | http://epub.lib.uoa.gr/index.php/parousia/index<br /> | HTML/PDF<br /> | Open access (journal policy)<br /> | —<br /> | Modern<br /> | University of Athens journals platform.<br /> |-<br /> | Πέργαμος (UoA)<br /> | http://pergamos.lib.uoa.gr/dl/index<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | UoA digital collections platform.<br /> |-<br /> | Ινστιτούτο Παστέρ – Ιστορικό Αρχείο<br /> | http://www.pasteur.gr/ha/Ελληνικό<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Historical archive of Institut Pasteur (GR).<br /> |-<br /> | Πλειάς (UoPatras)<br /> | http://pleias.lis.upatras.gr/index.php/index/index<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Academic repository platform (OJS/Dspace etc.)<br /> |-<br /> | Ψηφιοθήκη (AUTH)<br /> | http://digital.lib.auth.gr/<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | AUTH digital library (various collections).<br /> |-<br /> | ΙΚΕΕ (AUTH Institutional Repository)<br /> | http://ikee.lib.auth.gr/<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Institutional repository (AUTH).<br /> |-<br /> | INVENIO (note)<br /> | http://ikee.lib.auth.gr/<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Platform reference; same base as IKΕΕ (AUTH).<br /> |-<br /> | Ηλεκτρ. Αρχείο Διπλωματικών Εργασιών ΣΑΜ ΕΜΠ<br /> | http://courses.arch.ntua.gr/el/diatmhmatiko_programma_metaptyxiakvn_spoydvn__sxediasmos_-_xvros_-_politismos/diplvmatikes_metaptyxiakes_ergasies/hlektroniko_arxeio_diplvmatikvn_ergasivn.html<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | NTUA School of Architecture theses.<br /> |-<br /> | Apothesis (ΕΑΠ)<br /> | https://apothesis.eap.gr/<br /> | PDF<br /> | Varies<br /> | —<br /> | Modern<br /> | Hellenic Open University repository.<br /> |-<br /> | Ψηφιακή Βιβλιοθήκη Γκρίζας Βιβλιογραφίας (UoA)<br /> | http://efessos.lib.uoa.gr/greylit.nsf<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Grey literature repository (UoA).<br /> |-<br /> | Ψηφιακές Συλλογές (UoIoannina – help page)<br /> | http://www.uoi.gr/gr/help/digital_libraries.php<br /> | HTML/links<br /> | —<br /> | —<br /> | Modern<br /> | Entry page; collections hosted under subdomains.<br /> |-<br /> | Ψηφιακή Βιβλιοθήκη (UoIoannina)<br /> | http://pc-3.lib.uoi.gr/digital/<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Institutional digital library (UoI).<br /> |-<br /> | Βάση/Μεταδεδομένα – Εργαστήριο Νεοελ. Φιλοσοφίας<br /> | http://www.kenef.phil.uoi.gr/<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Lab of Modern Greek Philosophy (UoI).<br /> |-<br /> | Ιδρυματικό Αποθετήριο Παν. Θεσσαλίας<br /> | http://ir.lib.uth.gr/?locale-attribute=el<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | University of Thessaly repository.<br /> |-<br /> | E-Locus (UoCrete)<br /> | http://elocus.lib.uoc.gr/<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | University of Crete repository.<br /> |-<br /> | Πανεπιστήμιο Κύπρου – Διδακτορικές Διατριβές<br /> | http://lekythos.library.ucy.ac.cy/handle/10797/281?locale-attribute=el/<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | UCY theses collection (lekythos).<br /> |-<br /> | Ψηφίδα – Βιβλιοθήκη Νεοελληνικών Σπουδών (UoM)<br /> | https://dspace.lib.uom.gr/<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | University of Macedonia DSpace.<br /> |-<br /> | Νημερτής (UoPatras)<br /> | http://nemertes.lis.upatras.gr/jspui/<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | University of Patras DSpace.<br /> |-<br /> | Πάνδημος – Ψηφιακή Βιβλιοθήκη (Panteion)<br /> | http://pandemos.panteion.gr/<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Panteion University repository (multiple series).<br /> |-<br /> | Ταινιοθήκη της Ελλάδος – Ψηφιακή συλλογή<br /> | http://www.tainiothiki.gr/el/tainiothiki-tis-ellados/profil/<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Film museum portal; some text metadata.<br /> |-<br /> | ΤΕΕ – Βιβλιοθήκη<br /> | http://portal.tee.gr/portal/page/portal/library<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Technical Chamber of Greece library portal.<br /> |-<br /> | ΤΕΕ – Κατάλογος/Ψηφιακές Συλλογές<br /> | http://opac.tee.gr<br /> | OPAC<br /> | —<br /> | —<br /> | Modern<br /> | Online public access catalogue (TEE).<br /> |-<br /> | Ψηφιακό Σχολείο (νέα πύλη)<br /> | https://www.ebooks.edu.gr/<br /> | HTML/PDF<br /> | CC (educational)<br /> | —<br /> | Modern<br /> | Main portal (replacing legacy /2013/ URL).<br /> |-<br /> | Δελτίον Χριστιανικής Αρχαιολογικής Εταιρείας<br /> | http://ejournals.epublishing.ekt.gr/index.php/deltion/issue/archive/<br /> | HTML/PDF<br /> | Open access<br /> | —<br /> | Byzantine / Modern<br /> | EKT eJournals—journal archive.<br /> |-<br /> | Κυπριακή Βιβλιοθήκη – Ψηφιακή Πλατφόρμα<br /> | http://www.cyprusdigitallibrary.org.cy/<br /> | Portal<br /> | —<br /> | —<br /> | Modern<br /> | Cyprus digital library platform.<br /> |-<br /> | Εκπαιδευτικά Περιοδικά Ανοιχτής Πρόσβασης<br /> | http://www.pi-schools.gr/library/pi-lib/hb_ejournals.htm<br /> | HTML/links<br /> | —<br /> | —<br /> | Modern<br /> | Open-access educational journals index.<br /> |-<br /> | Ηλεκτρονικά Περιοδικά Νεοελληνικής Λογοτεχνίας<br /> | http://www.greek-language.gr/greekLang/literature/guides/net/greek/greek_05.html<br /> | HTML/links<br /> | —<br /> | —<br /> | Modern<br /> | Guide to literary e-journals/pages (GSGL).<br /> |-<br /> | Πλατφόρμα Ηλεκτρ. Επιστημονικών Περιοδικών (EKT)<br /> | http://ejournals.epublishing.ekt.gr/<br /> | HTML/PDF<br /> | Open access / varies<br /> | —<br /> | Modern<br /> | EKT journal platform (broad coverage).<br /> |-<br /> | OJS – Πανεπιστήμιο Μακεδονίας<br /> | https://ojs.lib.uom.gr/<br /> | HTML/PDF<br /> | Open access / varies<br /> | —<br /> | Modern<br /> | University of Macedonia’s OJS journals.<br /> |-<br /> | Σύγχρονη Ελληνική Ποίηση (συλλογή)<br /> | http://genesis.ee.auth.gr/dimakis/poetry.html<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Curated poetry collection (AUTH).<br /> |-<br /> | Αντί: δεκαπενθήμερη πολιτική επιθεώρηση<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;pid=cid:486<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record at Panteion repository.<br /> |-<br /> | Αρχαιολογία και Τέχνες (αρχείο τευχών)<br /> | http://www.archaiologia.gr/%CE%B1%CF%81%CF%87%CE%B5%CE%AF%CE%BF-%CF%84%CE%B5%CF%85%CF%87%CF%8E%CE%BD/<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Magazine issues archive.<br /> |-<br /> | Αρχαιολογική Εφημερίς<br /> | https://www.archetai.gr/index.php?p=content&amp;section=1&amp;id=21&amp;lang=<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Ancient / Byzantine / Modern<br /> | Journal by the Archaeological Society at Athens.<br /> |-<br /> | Αρχεία Ελληνικής Ιατρικής<br /> | http://www.mednet.gr/archives/current-gr.html<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Medical journal archive.<br /> |-<br /> | Βυζαντινά (AUTH journals)<br /> | http://ejournals.lib.auth.gr/BYZANTINA/issue/archive/<br /> | HTML/PDF<br /> | Open access<br /> | —<br /> | Byzantine<br /> | Journal archive (AUTH e-journals).<br /> |-<br /> | Γλωσσολογία (UoA)<br /> | http://glossologia.phil.uoa.gr/node/114/<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal/department resources (UoA Philology).<br /> |-<br /> | Γράμματα και Τέχνες (DUTH)<br /> | https://helit.duth.gr/mgcllab-dp1/#1593421365645-4ead6f09-86a0<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | DUTH materials (anchor link page).<br /> |-<br /> | Δελτίον Βιβλικών Μελετών<br /> | http://www.artoszois.gr/index.php/2014-06-30-14-33-19/<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Byzantine / Modern<br /> | Biblical studies journal (Greek).<br /> |-<br /> | Δελτίον Ελληνικής Γεωλογικής Εταιρίας<br /> | http://geolib.geo.auth.gr/index.php/bgsg/issue/archive<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Geological Society journal (AUTH hosting).<br /> |-<br /> | Δελτίον Ελληνικής Σπηλαιολογικής Εταιρίας<br /> | http://geolib.geo.auth.gr/index.php/bssg/issue/archive<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Speleological Society journal (AUTH hosting).<br /> |-<br /> | Διαβάζω (archive)<br /> | http://diavazo.gr/arxeio/?product_type=book<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Archive/Index of “Διαβάζω”.<br /> |-<br /> | Διαλεκτική (θεωρητικός-πολιτικός διάλογος)<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:581<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Δοκιμές<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:53<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Ελληνικά (ΕΜΣ)<br /> | http://www.ems.gr/analytikos-katalogos-ekdoseon/ellinika/ellinika-14-2.html<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal info (ΕΜΣ).<br /> |-<br /> | Ελληνική Επιθεώρηση Εγκληματολογίας<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:584<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Επιθεώρηση αποκέντρωσης Τ.Α. &amp; περιφερειακής ανάπτυξης<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:191<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Επιθεώρηση Τέχνης (1954–1967) – ψηφιοποιημένη<br /> | http://askiweb.eu/index.php/el/2015-09-21-08-27-59/2015-09-21-09-40-15/234-2015-09-17-09-57-18/<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | ASKI digitized art journal.<br /> |-<br /> | Επιθεώρησις κοινωνικής &amp; δημόσιας οικονομικής<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:773<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Επιθεώρησις οικονομικών &amp; πολιτικών επιστημών (1946–1967)<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:784<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Επιστημονική Επετηρίς (Φυσικομαθηματικών – ΑΠΘ)<br /> | http://geolib.geo.auth.gr/index.php/saas/issue/archive<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Series archive (AUTH geolib).<br /> |-<br /> | Επιστημονικό Δίκτυο Εκπαίδευσης Ενηλίκων<br /> | http://cretaadulteduc.gr/blog/<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Blog/resources for adult education (Crete).<br /> |-<br /> | Ευλογία (IMΘ)<br /> | http://www.imth.gr/default.aspx?page=153<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Periodical of Metropolis of Thessaloniki.<br /> |-<br /> | Εφημέριος (Εκκλησία της Ελλάδος)<br /> | http://www.ecclesia.gr/greek/press/efimerios/show_content.asp?what=tefxi<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Clergy periodical archive.<br /> |-<br /> | Ηθική (ΕΚΕΔΑ)<br /> | http://www.ethics.gr/content.php?category=16<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Ethics center publications (EL).<br /> |-<br /> | Θεολογία (Ι. Σύνοδος)<br /> | http://www.ecclesia.gr/greek/press/theologia/index.asp<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Byzantine / Modern<br /> | Theology journal archive.<br /> |-<br /> | Θέσεις<br /> | http://www.theseis.com/index.php?option=com_content&amp;task=section&amp;id=4&amp;Itemid=29<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal archive (positions).<br /> |-<br /> | Κρητικά Χρονικά<br /> | http://ir.lib.uth.gr/handle/11615/9200<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Hosted in UTh repository.<br /> |-<br /> | Λεβιάθαν<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:29<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Νέα Κοινωνιολογία<br /> | http://www.newsociology.gr/teyxh.html<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal issues (site).<br /> |-<br /> | Ο Μέντωρ<br /> | https://www.archetai.gr/index.php?p=content&amp;section=1&amp;id=23&amp;lang=<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Archaeological Society publication.<br /> |-<br /> | Ο Νουμάς<br /> | http://xantho.lis.upatras.gr/kosmopolis/index.php/noumas/issue/view/1055<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Digitized periodical (UoPatras Kosmopolis).<br /> |-<br /> | Ο Πολίτης (1976–1995 &amp; 1998–2005) – ψηφιοποιημένο<br /> | http://www.askiweb.eu/index.php/el/2-uncategorised/235-2015-09-17-09-57-19<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | ASKI digitized periodical.<br /> |-<br /> | Ολκάς – Ι. Μητρόπολη Λέρου Καλύμνου &amp; Αστυπάλαιας<br /> | http://www.im-leka.gr/index.php?categoryid=22<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Periodical/issues page (ecclesiastical).<br /> |-<br /> | Ουτοπία<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:65<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Πανεπιστήμιο (περιοδικό)<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:535<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Πειραϊκή Εκκλησία<br /> | http://www.imp.gr/periodiko/%CE%B1%CF%81%CF%87%CE%B5%CE%B9%CE%BF-%CF%84%CE%B5%CF%85%CF%87%CF%89%CE%BD-%CF%80%CE%B5%CF%81%CE%B9%CE%BF%CE%B4%CE%B9%CE%BA%CE%BF%CF%85.html<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Periodical archive (Metropolis of Piraeus).<br /> |-<br /> | Πολιτική οικονομία (1997–2004)<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:639<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Πρακτικά της εν Αθήναις Αρχαιολογικής Εταιρείας<br /> | https://www.archetai.gr/index.php?p=content&amp;section=1&amp;id=20&amp;lang=<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Ancient / Byzantine / Modern<br /> | Proceedings (Archaeological Society at Athens).<br /> |-<br /> | Σύγχρονα Θέματα (επιστημονικής έρευνας)<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:842<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Σύγχρονα Θέματα (τριμηνιαία έκδοση)<br /> | http://www.synchronathemata.gr/archio-tefchon/<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal issues archive (site).<br /> |-<br /> | Σχολιαστής<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:212<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Τετράδια: Πολιτικού Διαλόγου Έρευνας και Κριτικής<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:22<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Το Βήμα του Ασκληπιού<br /> | http://www.vima-asklipiou.gr/<br /> | HTML/PDF<br /> | Open access<br /> | —<br /> | Modern<br /> | Health/medicine journal (Greek).<br /> |-<br /> | Το Έργον της εν Αθήναις Αρχαιολογικής Εταιρείας<br /> | https://www.archetai.gr/index.php?p=content&amp;section=1&amp;id=22&amp;lang=<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Ancient / Byzantine / Modern<br /> | Annual bulletin of the Archaeological Society.<br /> |-<br /> | Φλέα – Ιστορικός Όμιλος Νάξου ΑΡΣόΣ<br /> | http://arsosnaxos.blogspot.gr/p/blog-page_26.html<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Cultural periodical archive (blog).<br /> |-<br /> | Ψυχολογία (Ελληνική Ψυχολογική Εταιρεία)<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:609<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Ψυχολογικά Θέματα<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:214<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Greek Migration News<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:51<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | News/analysis record (Panteion).<br /> |-<br /> | Intellectum<br /> | http://pandemos.panteion.gr/index.php?lang=el&amp;op=record&amp;type=&amp;q=&amp;page=0&amp;pid=cid:23<br /> | Portal/PDF<br /> | —<br /> | —<br /> | Modern<br /> | Journal record (Panteion).<br /> |-<br /> | Post Augustum<br /> | http://www.postaugustum.com/journal/<br /> | HTML/PDF<br /> | —<br /> | —<br /> | Ancient / Byzantine<br /> | Journal on late antiquity (Greek/EN).<br /> |-<br /> | Λεξικό Λειψίας (PDF sample)<br /> | http://research.uni-leipzig.de/giannis/Philosophie/Gedicht%204.pdf<br /> | PDF<br /> | —<br /> | —<br /> | Ancient / Modern<br /> | Sample PDF (reference/teaching).<br /> |-<br /> | Λεξικό Τριανταφυλλίδη (Πύλη)<br /> | http://www.greek-language.gr/greekLang/modern_greek/tools/lexica/triantafyllides/<br /> | HTML<br /> | —<br /> | —<br /> | Modern<br /> | Modern Greek dictionary portal.<br /> |-<br /> | Λεξικό της ελληνικής ως ξένης γλώσσας (PDF)<br /> | http://www.diapolis.auth.gr/diapolis_files/drasi9/ypodrasi9.2b_2013/4_%CE%A7%CF%81%CE%AE%CF%83%CE%B9%CE%BC%CE%B5%CF%82%20%CE%A3%CF%85%CE%BD%CE%B4%CE%AD%CF%83%CE%B5%CE%B9%CF%82%20&amp;%20%CE%A5%CF%80%CE%BF%CF%83%CF%84%CE%B7%CF%81%CE%B9%CE%BA%CF%84%CE%B9%CE%BA%CF%8C%20%CF%85%CE%BB%CE%B9%CE%BA%CF%8C/4.7_%CE%9B%CE%B5%CE%BE%CE%B9%CE%BA%CE%AC/%CE%9B%CE%B5%CE%BE%CE%B9%CE%BA%CF%8C%20%CE%95%CE%BB%CE%BB%CE%B7%CE%BD%CE%B9%CE%BA%CE%AE%CF%82%20%CF%89%CF%82%20%CE%BE%CE%AD%CE%BD%CE%B7%CF%82.pdf<br /> | PDF<br /> | —<br /> | —<br /> | Modern<br /> | PDF resource (AUTH Diapolis).<br /> |-<br /> | Βικιλεξικό: Πηγές ελεύθερης πρόσβασης<br /> | https://el.wiktionary.org/wiki/%CE%92%CE%B9%CE%BA%CE%B9%CE%BB%CE%B5%CE%BE%CE%B9%CE%BA%CF%8C:%CE%92%CE%B9%CE%B2%CE%BB%CE%B9%CE%BF%CE%B8%CE%AE%CE%BA%CE%B7/%CE%A0%CE%B7%CE%B3%CE%AD%CF%82_%CE%B5%CE%BB%CE%B5%CF%8D%CE%B8%CE%B5%CF%81%CE%B7%CF%82_%CF%80%CF%81%CF%8C%CF%83%CE%B2%CE%B1%CF%83%CE%B7%CF%82<br /> | HTML/links<br /> | CC BY-SA<br /> | —<br /> | Modern<br /> | Index of open Greek linguistic/text resources.<br /> |-<br /> | TOTAL (approx., unique after deduplication)<br /> | —<br /> | —<br /> | —<br /> | 360–590<br /> | All<br /> | Estimated unique Greek text volume (GB).<br /> |}</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=%CE%9A%CE%B1%CF%84%CE%AC%CE%BB%CE%BF%CE%B3%CE%BF%CF%82_%CE%A0%CE%B7%CE%B3%CF%8E%CE%BD_%CE%95%CE%BB%CE%BB%CE%B7%CE%BD%CE%B9%CE%BA%CF%8E%CE%BD_%CE%9A%CE%B5%CE%B9%CE%BC%CE%AD%CE%BD%CF%89%CE%BD_-_GlossAPI_Backlog&diff=2448 2025-11-03T07:32:30Z

<p>Pkst: </p> <hr /> <div>{| class=&quot;wikitable sortable&quot;<br /> ! scope=&quot;col&quot; | Title<br /> ! scope=&quot;col&quot; | URL<br /> ! scope=&quot;col&quot; | Format<br /> ! scope=&quot;col&quot; | Licence<br /> ! scope=&quot;col&quot; | Size (GB)<br /> ! scope=&quot;col&quot; | Domain<br /> ! scope=&quot;col&quot; | Notes<br /> |-<br /> | Perseus Digital Library<br /> | [https://www.perseus.tufts.edu/hopper/opensource perseus.tufts.edu]<br /> | TEI/XML, morph<br /> | CC BY-SA<br /> | &lt;span data-sort-value=&quot;15&quot;&gt;15–20&lt;/span&gt;<br /> | Ancient<br /> | Core classical Greek; downloadable datasets &amp; tools.<br /> |-<br /> | Open Greek and Latin (OGL)<br /> | [https://opengreekandlatin.github.io/ opengreekandlatin.github.io]<br /> | TEI/XML<br /> | CC (varies)<br /> | &lt;span data-sort-value=&quot;25&quot;&gt;25–30&lt;/span&gt;<br /> | Ancient / Byzantine<br /> | Expanded corpus incl. late antiquity &amp; Byzantine; overlaps with Perseus.<br /> |-<br /> | First1KGreek (Harvard CHS)<br /> | [https://github.com/First1KGreek github.com/First1KGreek]<br /> | TEI/XML (Git)<br /> | CC BY 4.0<br /> | &lt;span data-sort-value=&quot;8&quot;&gt;8–12&lt;/span&gt;<br /> | Ancient / Byzantine<br /> | First millennium Greek works (TEI-encoded).<br /> |-<br /> | Ancient Greek Dependency Treebank (AGDT)<br /> | [https://github.com/PerseusDL/treebank_data github.com/PerseusDL/treebank_data]<br /> | CoNLL, XML<br /> | CC BY-SA<br /> | &lt;span data-sort-value=&quot;0.1&quot;&gt;&amp;lt;0.1&lt;/span&gt;<br /> | Ancient<br /> | Parsed/labeled data aligned to classical texts.<br /> |-<br /> | Scaife Viewer Corpus<br /> | [https://scaife.perseus.org/ scaife.perseus.org]<br /> | API/JSON, TEI<br /> | CC (where applicable)<br /> | &lt;span data-sort-value=&quot;0&quot;&gt;—&lt;/span&gt;<br /> | Ancient<br /> | API access to Perseus/OGL corpora.<br /> |-<br /> | Thesaurus Linguae Graecae (TLG)<br /> | [https://stephanus.tlg.uci.edu/ stephanus.tlg.uci.edu]<br /> | Platform (TEI/TXT)<br /> | Licensed (institutional)<br /> | &lt;span data-sort-value=&quot;0&quot;&gt;—&lt;/span&gt;<br /> | Ancient / Byzantine<br /> | Comprehensive corpus; subscription access.<br /> |-<br /> | Dumbarton Oaks Hagiography Database<br /> | [https://www.doaks.org/resources/hagiography doaks.org/resources/hagiography]<br /> | TEI, HTML<br /> | Open access<br /> | &lt;span data-sort-value=&quot;3&quot;&gt;3–5&lt;/span&gt;<br /> | Byzantine<br /> | Hagiographic texts &amp; prosopography.<br /> |-<br /> | Patrologia Graeca – Documenta Catholica Omnia<br /> | [http://www.documentacatholicaomnia.eu/ documentacatholicaomnia.eu]<br /> | HTML, PDF/TXT<br /> | Public domain<br /> | &lt;span data-sort-value=&quot;40&quot;&gt;40–60&lt;/span&gt;<br /> | Byzantine<br /> | Patristic Greek; OCR quality varies.<br /> |-<br /> | mC4 (Greek subset)<br /> | [https://www.tensorflow.org/datasets/catalog/c4 tensorflow.org/datasets/catalog/c4]<br /> | TFDS/TXT (derived)<br /> | Research use (see card)<br /> | &lt;span data-sort-value=&quot;340&quot;&gt;340–430&lt;/span&gt;<br /> | Modern<br /> | Large web corpus; needs filtering &amp; deduplication.<br /> |-<br /> | OSCAR 23.01 (Greek)<br /> | [https://huggingface.co/datasets/oscar-corpus/OSCAR-2301 huggingface.co/datasets/oscar-corpus/OSCAR-2301]<br /> | JSONL/TXT<br /> | CC BY 4.0<br /> | &lt;span data-sort-value=&quot;70&quot;&gt;70–85&lt;/span&gt;<br /> | Modern<br /> | Cleaned Common Crawl (Greek portion).<br /> |-<br /> | ELRC-SHARE (Greek Parallel)<br /> | [https://elrc-share.eu/ elrc-share.eu]<br /> | TMX, XML, TXT<br /> | Varies (per corpus)<br /> | &lt;span data-sort-value=&quot;5&quot;&gt;5–10&lt;/span&gt;<br /> | Modern<br /> | Parallel corpora for admin/law/education.<br /> |-<br /> | OPUS (Greek Parallel Corpora)<br /> | [https://opus.nlpl.eu/ opus.nlpl.eu]<br /> | TMX, TXT<br /> | Open (varies)<br /> | &lt;span data-sort-value=&quot;0&quot;&gt;—&lt;/span&gt;<br /> | Modern<br /> | Multiple bilingual corpora (e.g., OpenSubtitles, DGT, etc.).<br /> |-<br /> | Wikimedia dumps (elwiki, elwiktionary)<br /> | [https://dumps.wikimedia.org/ dumps.wikimedia.org]<br /> | XML, SQL (bz2)<br /> | CC BY-SA 3.0<br /> | &lt;span data-sort-value=&quot;5&quot;&gt;5–10&lt;/span&gt;<br /> | Modern<br /> | Encyclopedic &amp; lexical data (Greek).<br /> |-<br /> | Κάλλιπος – Ανοικτά Ακαδημαϊκά Συγγράμματα<br /> | [https://repository.kallipos.gr/ repository.kallipos.gr]<br /> | PDF, EPUB<br /> | CC BY / CC<br /> | &lt;span data-sort-value=&quot;2&quot;&gt;2–5&lt;/span&gt;<br /> | Modern<br /> | Greek open textbooks &amp; OER.<br /> |-<br /> | Εθνικό Αρχείο Ιστού (ΕΒΕ)<br /> | [https://webarchive.nlg.gr/ webarchive.nlg.gr]<br /> | WARC/HTML (portal)<br /> | Research access / terms<br /> | &lt;span data-sort-value=&quot;200&quot;&gt;200–400&lt;/span&gt;<br /> | Modern<br /> | Archived Greek web content (portal access).<br /> |-<br /> | Ανοικτή Βιβλιοθήκη (Openbook)<br /> | [https://www.openbook.gr/ openbook.gr]<br /> | HTML, PDF, EPUB<br /> | Varies (often CC/open)<br /> | &lt;span data-sort-value=&quot;0&quot;&gt;—&lt;/span&gt;<br /> | Modern<br /> | Repository of freely available Greek books.<br /> |-<br /> | Αποθετήριο Εκπαιδευτικού περιεχομένου για την Ακρόπολη<br /> | [http://repository.acropolis-education.gr/acr_edu/?locale=el repository.acropolis-education.gr]<br /> | HTML, PDF<br /> | Educational / varies<br /> | &lt;span data-sort-value=&quot;0&quot;&gt;—&lt;/span&gt;<br /> | Modern<br /> | Educational materials related to Acropolis.<br /> |-<br /> | Ανέμη – Ψηφιακή Βιβλιοθήκη Νεοελληνικών Σπουδών<br /> | [http://anemi.lib.uoc.gr/?lang=el anemi.lib.uoc.gr]<br /> | HTML, PDF<br /> | Varies<br /> | &lt;span data-sort-value=&quot;0&quot;&gt;—&lt;/span&gt;<br /> | Modern<br /> | Digitized books/periodicals (UOC library).<br /> |-<br /> | ΑΠΟΛΛΩΝΙΣ – Εθνική Υποδομή Ψηφιακών Ανθρωπιστικών<br /> | [https://apollonis-infrastructure.gr/ apollonis-infrastructure.gr]<br /> | Portal / aggregator<br /> | &lt;span data-sort-value=&quot;0&quot;&gt;—&lt;/span&gt;<br /> | &lt;span data-sort-value=&quot;0&quot;&gt;—&lt;/span&gt;<br /> | Mixed<br /> | Links to many Greek DH repositories.<br /> |}</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2025_proposed_ideas&diff=2322 2025-03-04T11:34:43Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == '''Expanding HassIO smart home capabilities via low-code automation development''' ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto, is a Domain Specific Language (DSL) that enables users to program complex automation scenarios and pipelines, for connected IoT devices in smart environments, that go beyond simple tasks. It was initially developed by the ISSEL research team (AUTH) as textual DSL and later evolved into a web-based low-code development environment. SmAuto lacks extra features like utilization of external REST data sources, time delays, semantic annotation, and accessing of in-house entities, etc., thus it should be expanded in this direction. Furthermore, HomeAssistant would benefit from the integration of a low-code approach for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> <br /> ==== Expected Results ====<br /> • In the context of this project, we desire to expand the SmAuto DSL with the following features: a) support the REST protocol, so as for the automations to be able to access information from external data sources, b) incorporate auxiliary concepts like Delay, Switches, or Compute nodes, c) SmAuto integration in HA. The integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA addon, where users will be able to design and deploy automations graphically, using the SmAuto low-code environment.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/ <br /> <br /> ==== Knowledge Prerequisites ====<br /> [Required]: Python, Software engineering, IoT concepts, Unix/Linux, <br /> [Desired]: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> ==== Mentors ====<br /> <br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> == '''A Tool for Visualizing the Arguments, Sentiments and User Interactions of Online Discussions''' ==<br /> <br /> ==== Brief Explanation ====<br /> In recent years, the analysis and visualization of dialogue have gained prominence in fields such as computational linguistics, social sciences, and human-computer interaction. The ability to model, analyze, and visualize real-life discussions provides valuable insights into the flow of conversations, the exchange of arguments, and the sentiments conveyed. Such visualizations can improve the understanding of complex discussions, foster decision-making, and even help develop better AI systems for facilitating or mediating discussions. We are particularly interested in online text-only discussions (e.g. on platforms like Reddit).<br /> <br /> Various tools and platforms have been developed in order to facilitate structured discussions and multi-party decision making. Kialo is an online, structured debate platform, where the use of argumentation is the central component. It allows the construction of argument maps, in the form of trees. It promotes thoughtful discussion, understanding of different viewpoints and collaborative decision-making, through visualizations of argument maps. <br /> <br /> Debategraph is another online structured debate platform, using more complex graphs, called &amp;amp;quot;mind-maps&amp;amp;quot;, where arguments are interconnected in a web-like structure. It allows an even wider choice of visualizations of relationships between ideas.<br /> <br /> DebateVis is a tool that can help non-expert users explore and analyze debate transcripts. Given a transcript, the tool produces: (a) an Interactions Graph that summarizes how often each candidate spoke overall, mentioned other candidates and discussed each topic, (b) an Annotated Transcript with automatically extracted topic labels and speaker interactions, (c) a Timeline visualization providing an overview of the debate. <br /> <br /> Finally, VisArgue is a framework proposing a range of visualizations of dialogues, including: Lexical Episode Plots (a timeline representation of the topics discussed), (b) Conversational Topic Visualizations, representing the shifting of focus of individual user on topics, (c) various statistics measuring user participation, respect, justification and accommodation, (d) Lexical Units, which are timeline representations of features such as the amount of argumentation and emotions.<br /> <br /> Although tools such as the above offer important functionality, there are still issues: in most cases, either the source code is not available, or integration with new projects is not seamless, or it is difficult to parameterize the output. Furthermore, the tools above focus mostly on debate, whereas we are also interested in other types of online discussions (e.g. deliberation to improve legislation bills, non-adversarial discussions for intra-company decision making).<br /> <br /> Therefore, this project’s goal is the design and implementation of an open source tool for visualizing and analyzing real-life, online, text-only discussions, exploring subjects like: topics discussed, arguments exchanged and emotions conveyed. The project will also explore how these visualizations can be leveraged for improving public understanding of contentious issues, academic discourse, and online discussion platforms.<br /> <br /> '''Project Objectives / Contributions:'''<br /> <br /> - Select, from the literature, prominent dialogue visualization approaches / ideas (e.g. styles of graph-based, or timeline-based, visualizations used) to represent various aspects of real-life online discussions and collect available libraries (not necessarily discussion-specific) that can be used to implement them (e.g. Gephi, NetworkX).<br /> <br /> - Explore the open-source toolkits being developed in the Archimedes project “LLM3: LLMs as mediators and moderators” to measure dialogue quality aspects (e.g., sentiment, politeness, topics, user participation) and select those that can provide useful meta-data for visualizing on-line discussions.<br /> <br /> - Develop a tool capable of ingesting data from real-life online discussions generating relevant meta-data (possibly by calling other toolkits) and producing the desired visualizations of the discussions.<br /> <br /> - Potentially, evaluate the effectiveness of the tool and its visualizations in making complex online discussions understandable to diverse audiences, such as researchers, mediators, or general users.<br /> <br /> '''Project Impact:'''<br /> <br /> - A novel, easy-to-use, open source, visualization tool (with accompanying paper) for online, text-only discussions, that can help the analysis of discussions in different settings and domains (e.g. political discourse, academic debates, or customer feedback).<br /> <br /> - Expand the general understanding of how visualization techniques can make debates more accessible and informative (possibly also leading to a publication).<br /> <br />   - Contribution to the Archimedes project “LLM3: LLMs as mediators and moderators” which aims to develop and evaluate LLM-based mediation agents that will actively participate in online discussions, with or without additional human mediation.<br /> <br /> '''Key Types of Dialogue Visualizations:'''<br /> <br /> The project will develop and explore several types of dialogue visualizations. Some are briefly described below. The contributor will be free to propose and implement new ones. <br /> <br />     1) Timelines: they represent the chronological flow of a conversation, highlighting key moments such as topic shifts, argument introductions and emotional peaks. Possible Features: topic evolution over time, points of conflict or agreement, visual markers for significant events (e.g. emotional outbursts or resolution points).<br /> <br />     2) Argumentation Graphs: they visualize the logical structure of arguments, including claims, counterclaims and evidence. Possible Features: nodes representing arguments or claims, edges denoting relationships (e.g., support, contradiction).<br /> <br />     3) User Interaction Graphs: they map the relationships and interaction patterns between participants in the debate. Possible Features: nodes representing participants, weighted edges showing the frequency, tone, or sentiment of interactions, clusters indicating subgroups or coalitions in the dialogue.<br /> <br />     4) Sentiment Heatmaps: they analyze and visualize the emotional dynamics of a conversation. Possible Features: color-coded intensity for positive, negative, or neutral sentiments, overlay with timeline or topic visualization for richer insights.<br /> <br />     5) Topic Trees or Topic Flow Diagrams: they represent how topics are introduced, branched out, and revisited during the discussion. Possible Features: hierarchical or radial layouts for topic relationships, highlights of overlapping or transitioning topics.<br /> <br />     6) Hybrid Visualizations: by combining multiple visualization techniques.<br /> <br /> Importance of Dialogue Visualizations:<br /> <br /> Dialogue visualizations, such as those presented above, can support:<br /> <br /> - Topic Analysis: by identifying the main topics discussed and their transitions over time, and by highlighting overlapping topics and their importance to the dialogue.<br /> <br /> - Argumentation Analysis: by understanding the logical flow of arguments, counterarguments, and evidence, and by identifying circular reasoning, weak arguments, or areas of agreement.<br /> <br /> - Sentiment Analysis: by visualizing the emotional tone of the conversation and its impact on the debate, and by examining whether certain sentiments correlate with specific topics or arguments.<br /> <br /> - Participant Dynamics: by mapping the influence and activity of each participant, and by analyzing interaction patterns (e.g., dominance, interruptions, alliances).<br /> <br /> '''Methodology:'''<br /> <br /> - Data Collection and Preparation:<br /> <br /> The tool should be able to ingest data from various online debate platforms (e.g. Reddit, Kialo), from political debate transcripts, from academic discourse, as well as from debates among LLM-agents. Since the format of raw data may vary, we propose the use of the Convokit tool in order to homogenise and preprocess the data.<br /> <br /> - Development of Visualization Prototypes:<br /> <br /> Tools/Technologies: Python (matplotlib, seaborn, Plotly), D3.js for web-based visualizations, or tools like Gephi for network analysis. Use natural language processing (NLP) libraries (e.g., spaCy, Hugging Face Transformers) for topic modeling, sentiment analysis, and argument mining, along with tools being developed at the LLM3 project of Archimedes.<br /> <br /> - User Feedback and Iterative Improvement:<br /> <br /> Test the outputs (visualizations) with researchers, mediators, or other stakeholders. Refine designs based on usability feedback and task-specific performance.<br /> <br /> '''Evaluation'''<br /> <br /> If time allows, the contributor will contribute in evaluating the effectiveness of their dialogue visualizations, in the context of Archimedes’ LLM3 project, by using them for both real-life and LLM-generated dialogues. Their output will be measured on clarity, usability and informativeness.<br /> <br /> '''Desired Profile:'''<br /> <br /> We are looking for a contributor with the following characteristics:<br /> <br /> - Good programming skills in Python (experience in network analysis and / or NLP is a plus).<br /> <br /> - Experience (and interest for) coding visual representations of concepts with libraries such as: matplotlib, seaborn, Plotly, Gephi, D3.js. <br /> <br /> - Interest in the subject of human interaction through dialogue (more specifically, on themes such as: argumentation, topic identification, sentiment analysis).<br /> <br /> - A taste for concise, elegant and efficient solutions / visualizations.<br /> <br /> The contributor will be mentored/supported by members of the LLM3 project, the broader NLP group of Archimedes (&lt;nowiki&gt;https://archimedesai.gr/en/&lt;/nowiki&gt;), as well as the NLP Group (&lt;nowiki&gt;http://nlp.cs.aueb.gr/&lt;/nowiki&gt;) of the Department of Informatics, Athens University of Economics and Business. <br /> <br /> '''Conclusion:'''<br /> <br /> This GSOC project aims to develop an open-source tool that will make complex, online discussions more understandable, insightful, and actionable. By capturing the topics, arguments, sentiments, and participant dynamics, it will offer a comprehensive approach to online dialogue visualization that can benefit multiple fields, from education to public policy.<br /> <br /> ==== Related repositories ====<br /> https://sites.google.com/view/llm3/home<br /> <br /> ==== Expected Results ====<br /> A tool able to process real-life, text-only dialogues and produce selected visualizations capturing their essential points.<br /> <br /> ==== Mentors ====<br /> Dionysios Kontarinis (denniskont@gmail.com), Ion Androutsopoulos, Ioannis Pavlopoulos<br /> <br /> == '''PersonalAIs: Generative AI Agent for Personalized Music Recommendations''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project aims to develop an AI-powered agent that interacts with users in natural language to determine their emotional state and musical preferences in a conversational manner. The agent will then generate and refine music playlists accordingly. The system will integrate with the Spotify API to provide personalized recommendations based on user preferences, liked songs, and listening history. Users can opt-out of personal data usage for a more exploratory approach. The agent will also enable real-time conversational modifications to playlists, allowing users to tweak mood, energy, and genre preferences.<br /> <br /> ==== Core Features &amp; Technologies: ====<br /> - Natural Language Processing (NLP): Used to determine user mood and preferences based on conversation.<br /> <br /> - Generative AI: Small LLM models hosted locally or accessed via an API key for dialogue generation.<br /> <br /> - Spotify API Integration: Authentication, playlist management, retrieval of user metadata (liked songs, playlists, etc.).<br /> <br /> - Frontend UI: A web-based chatbot interface similar to ChatGPT.<br /> <br /> - Backend Processing: Handles AI model interactions, API requests, and user session management.<br /> <br /> - Real-time Modifications: Users can refine recommendations by requesting changes in mood, genre, energy, etc.<br /> <br /> Sources &amp;amp;amp;amp; References:<br /> <br /> - Spotify API Documentation: &lt;nowiki&gt;https://developer.spotify.com/documentation/web-api/&lt;/nowiki&gt;<br /> <br /> Mood-Based Playlist Research:<br /> <br /> - Generating personalized music playlists based on mood and listening data<br /> <br /> - Moodify: Emotion recognition in songs for personalized recommendations<br /> <br /> Example Datasets:<br /> <br /> - Moodify Dataset (Spotify-based mood labels)<br /> <br /> - Awesome Music Emotion Recognition (MER) Dataset Collection<br /> <br /> ==== Expected Results ====<br /> &lt;nowiki&gt;''&lt;/nowiki&gt;- A full-stack AI agent (local hosted and/or API Key) that generates personalized music playlists based on user input.  - Integration with Spotify API for user authentication, playlist creation, and retrieval of user metadata.  - Real-time, conversational playlist modifications through a chatbot-style UI.  - Advanced mood detection using NLP or audio analysis. Integration with external music recommendation sources.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== '''Knowledge Prerequisites''' ====<br /> &lt;nowiki&gt;''&lt;/nowiki&gt;- Basics of Machine Learning and NLP.  - Experience with pre-trained generative models (e.g., GPT, BERT) and recommendation systems.  - Familiarity with APIs, particularly Spotify API.  - Frontend/backend development experience for a chatbot-style UI.<br /> <br /> ==== Mentors ====<br /> Giannis Prokopiou, Thanos Aidinis<br /> <br /> == '''OpenRF 3D''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project aims to bridge NVIDIA Sionna’s 6G simulation framework with Cesium’s 3D geospatial engine, enabling real-time, terrain-aware wireless network analysis. The student will develop a bidirectional WebSocket pipeline to dynamically stream Cesium’s elevation and 3D building data into Sionna, where channel models are enhanced to account for terrain-induced pathloss and urban blockages. Simultaneously, Sionna’s ray-traced outputs (e.g., signal strength, beamforming patterns) will be visualized in Cesium as interactive heatmaps and antenna coverage overlays. Key deliverables include a Python/JavaScript interface using Protocol Buffers for efficient data serialization, integration of 3GPP TR38.901 models with real-world terrain, and Jupyter notebooks demonstrating urban/rural 5G optimization.<br /> <br /> ==== Expected Results ====<br /> By the end of GSoC, this project will deliver a fully functional bidirectional WebSocket pipeline that integrates NVIDIA Sionna’s 6G simulation framework with Cesium’s 3D geospatial engine, enabling real-time, terrain-aware wireless network analysis. The system will dynamically stream Cesium’s elevation and 3D building data into Sionna, enhancing 3GPP TR38.901 propagation models with terrain-induced pathloss and urban blockages. Simultaneously, Sionna’s ray-traced outputs (signal strength, beamforming patterns) will be visualized in Cesium as interactive heatmaps and antenna coverage overlays. The project will develop an optimized Python/JavaScript interface using Protocol Buffers, ensuring low-latency, high-performance data exchange between Cesium and Sionna. Additionally, Jupyter notebooks will demonstrate urban/rural 5G optimization, beamforming analysis, and comparative studies of RF propagation models. The final deliverables will include a fully documented API, setup guides, and tutorials, contributing to the NVIDIA Sionna and Cesium open-source communities. This integration will significantly improve realism in RF simulations, allowing for next-generation 6G research, network optimization, and smart city planning.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/NVlabs/sionna, <br /> https://github.com/CesiumGS/cesium<br /> <br /> ==== Knowledge Prerequisites ====<br /> A developer with strong Python &amp; JavaScript skills, and an understanding of real-time networking (WebSockets, Protobuf). Experience in wireless communications &amp; 3D geospatial visualization, and prior exposure to Sionna, CesiumJS would be highly beneficial.<br /> <br /> ==== Mentors ====<br /> Ilias Chrysovergis (https://www.linkedin.com/in/ilias-chrysovergis/), Iason Malkotsis (https://malkotsis.com/)<br /> <br /> == '''Exploring and Abstracting Triplestore Alternatives''' ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to explore, analyze, and abstract various triplestore alternatives. The project aims to provide young programmers with a comprehensive understanding of different back-end alternatives that allow for storing data in triple format, commonly known as triplestores.<br /> <br /> ==== Background ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> <br /> ==== Project Description ====<br /> This project will involve a detailed exploration of various triplestore alternatives. The participants will perform rudimentary tests and benchmarks on these alternatives to understand their performance, scalability, and other key features.<br /> <br /> The ultimate goal is to develop a library that can act as an abstraction layer for these triplestore alternatives. This library will &quot;hide&quot; the underlying implementation, allowing developers to switch between different triplestores without changing their application code. This abstraction layer can be compared to a library abstracting various specific relational database management systems, all providing very similar functionality, like supporting SQL.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Identify and study various triplestore alternatives. Understand their architecture, features, and limitations.<br /> <br /> ''Testing:'' Perform rudimentary tests and benchmarks on the identified triplestore alternatives.<br /> <br /> ''Analysis:'' Analyze the test results to understand the performance and scalability of each alternative.<br /> <br /> ''Development:'' Develop an abstraction layer that can interface with the various triplestore alternatives.<br /> <br /> ''Documentation:'' Document the findings and the usage of the developed library.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a well-documented library that can act as an abstraction layer for various triplestore alternatives. This will provide developers with the flexibility to choose the most suitable triplestore for their specific needs without having to modify their application code.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the understanding of participants about triplestore alternatives but also equip them with the skills to develop an abstraction layer, thereby broadening their programming skills and knowledge.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> Related repositories<br /> <br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [[wikipedia:Triplestore|Triplestore]]<br /> - [[wikipedia:Semantic_triple|Triples]]<br /> - [[wikipedia:SPARQL|Query language]]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python (mandatory). Other programming languages like C, Go, Rust, Java, might prove useful.<br /> <br /> ==== Mentors:Alexios Zavras, TBD====<br /> <br /> == '''Flexible GovDoc Scanner''' ==<br /> <br /> ==== Brief Explanation ====<br /> The goal of this project is to develop the Flex GovDoc Scanner, an application that leverages the Node.js stack, AI tools, and cloud services to transform public incorporation documents from Greece's business portal (ΓΕΜΗ, &lt;nowiki&gt;https://publicity.businessportal.gr/&lt;/nowiki&gt;) into structured, searchable data. This project aims to facilitate access to essential company information, such as legal representatives, board members, and incorporation history, by offering advanced discovery capabilities through a REST service.<br /> <br /> '''Project Overview:'''<br /> <br /> - Crawl and Index Public Documents: <br /> <br />   Develop a robust crawling mechanism to gather all relevant PDF documents from the ΓΕΜΗ portal while ensuring compliance with legal standards.<br /> <br /> - Extract and Structure Metadata: <br /> <br />   Utilize AI and OCR technologies to extract key metadata from these documents and store them in a structured format.<br /> <br /> - REST Service for Metadata Search: <br /> <br />   Create an efficient REST API to provide users with search functionalities on the extracted metadata, enabling easy access and analysis.<br /> <br /> ==== Related repositories ====<br /> https://github.com/flexivian/govdoc-scanner<br /> <br /> ==== Expected Outcome ====<br /> &lt;nowiki&gt;''&lt;/nowiki&gt;- Implement a nodejs application to Crawl and Index Public Documents, utilize an opensource DB optimized for documents - Enhance the application with AI and OCR capabilities to extract metadata from scanned documents - Implement a REST API using nodejs to provide users with search functionalities on the extracted metadata, enabling easy access and analysis.<br /> <br /> ==== Knowledge Prerequisites ====<br /> nodejs, docker, git , AI concepts and tools, NLP, OCR, RESTful API design and implementation, Knowledge of databases (SQL or NoSQL)<br /> <br /> ==== Mentors: ====<br /> iskitsas@gmail.com, vasilisnx@gmail.com <br /> <br /> == '''Extending the capabilities of OpenTRIM''' ==<br /> <br /> ==== Brief Explanation ====<br /> OpenTRIM is a new open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to the these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises of a set of C++ libraries, a command line program for executing simulations in batch mode and a Qt-based graphical user interface that can be used to configure &amp;amp;amp;amp; run a simulation and evaluate the results. Currently, there are various parts of OpenTRIM where work is needed for improving and extending the capabilities of the code. <br /> <br /> ==== Expected Outcome ====<br /> 1. Extend the base C++ simulation code to include new capabilities for user-defined “tallies”, i.e., scoring tables where data from the simulation are extracted as a function of ion energy, position, direction or other possible optional variables.  2. Create a tool for 2D or 3D visualization of the simulated ion trajectories. 3. Write a number of example simulations, complete with the required input files and evaluation of the output results, which will become a part of the code documentation.<br /> <br /> ==== Duration of the Project ====<br /> Depending on the proposal<br /> <br /> ==== Related repositories ====<br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, Qt (optional), OpenGL (optional)<br /> <br /> ==== Mentors:====<br /> George Apostolopoulos (&lt;nowiki&gt;https://github.com/gapost&lt;/nowiki&gt;), Michail Axiotis (&lt;nowiki&gt;https://github.com/psaxioti&lt;/nowiki&gt;), Eleni Mitsi (&lt;nowiki&gt;https://github.com/elmitsi&lt;/nowiki&gt;)<br /> <br /> <br /> <br /> == '''Cleaning of HPLT Greek v2 Dataset for GlossApi LLM''' ==<br /> <br /> ==== Brief Explanation ====<br /> Cleanup of the Greek datasets at https://hplt-project.org/datasets/v2.0. The cleanup will be done with the help of the glossAPI team. <br /> <br /> For methodology see https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1&amp;#x20;. <br /> <br /> ==== Expected Outcome ====<br /> The goal is to isolate from the html Greek text with normal grammar and complete sentences (not fragmented).<br /> <br /> ==== Duration of the Project ====<br /> Depending on the proposal<br /> <br /> ==== Related repositories ====<br /> https://github.com/eellak/glossapi<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python, βιβλιοθήκες NLP<br /> <br /> ==== Mentors:====<br /> Foivos Karounos, Nikolaos Vidras<br /> <br /> <br /> <br /> == '''Add SAML and OpenID Connect support to Consul Democracy''' ==<br /> <br /> ==== Brief Explanation ====<br /> Consul Democracy is a web-based citizen participation tool written in Ruby, using the Ruby on Rails framework. Consul Democracy is licensed under the AGPL and its installations are decentralized, meaning there are more than 200 institutions across the world running their own independent server and using a custom version of Consul Democracy. Some of these institutions have authentication solutions based on either SAML or OpenID Connect; however, there's no built-in support for these authentication solutions in Consul Democracy, so each institution has to build their own.<br /> <br /> In Ruby, the OmniAuth library provides a standard way to manage multi-provider authentication. Consul Democracy currently uses several Ruby gems, all based on OmniAuth, to provide authentication via Facebook, Google, Twitter/X and WordPress. There's been an attempt at providing SAML support using the omniauth-saml Ruby gem, but its development hasn't been finished due to the lack of a SAML platform to test against.<br /> <br /> Consul Democracy also supports multitenancy, meaning the same application can be used to manage several institutions (with different domains or subdomains). For authentication using Facebook, Google, Twitter/X or WordPress, Consul Democracy provides the option to use the same configuration for each institution, to use different configurations for different institutions, or a mix of both (one default configuration which can be overwritten per institution).<br /> <br /> The aim of this proposal is to provide generic SAML and OpenID Connect authentication solutions in Consul Democracy so a variety of institutions can easily integrate their existing authentication platform.<br /> <br /> ==== Expected Results. ====<br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Make it possible to authenticate in Consul Democracy using a SAML service <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Make it possible to authenticate in Consul Democracy using an OpenID Connect service <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Both SAML and OpenID Connect solutions must allow different configurations for different institutions in a multitenant environment <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Both SAML and OpenID Connect solutions should be flexible enough so institutions don't have to change the source code in order to configure their service <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; The source code of the SAML and OpenID Connect solutions should be similar to the source code of the existing Facebook, Google, Twitter/X and WordPress solutions <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Update the documentation with instructions on how to configure SAML and OpenID Connect <br /> <br /> ==== Duration of the Project ====<br /> Medium Size 175 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/consuldemocracy/consuldemocracy<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; SAML and OpenID Connect authentication configuration * (Optional) Ruby on Rails and OmniAuth authentication<br /> <br /> ====Mentors====<br /> Javier Martín - &lt;nowiki&gt;https://github.com/javierm&lt;/nowiki&gt;, Sebastià Roig - &lt;nowiki&gt;https://github.com/taitus&lt;/nowiki&gt;<br /> <br /> <br /> == '''Docker for Consul Democracy citizen participation platform''' ==<br /> <br /> ==== Brief Explanation ====<br /> Consul Democracy is a web-based citizen participation tool written in Ruby, using the Ruby on Rails framework. Consul Democracy is licensed under the AGPL and its installations are decentralized, meaning there are more than 200 institutions across the world running their own independent server and using a custom version of Consul Democracy. That means Consul Democracy developers don't have access to production machines, and so Consul Democracy must be as simple to install and maintain as possible so anyone can do it no matter how familiar they are with the technologies used by Consul Democracy.<br /> <br /> Currently, Consul Democracy is installed on production by running an ansible-based installer which installs all the project dependencies on a Debian GNU/Linux or Ubuntu Linux server. Deployment of new developments is then done using Capistrano.<br /> <br /> The source code of Consul Democracy contains a Dockerfile and a docker-compose.yml file that are exclusively meant for the development environment, in order to make it easier for developers who are familiar with Docker to contribute to the project. However, there's currently no way to deploy to a production environment using Docker, which is inconvenient for institutions who don't use Debian or Ubuntu on their servers, or for institutions who have adopted Docker as their preferred way to setup their servers. The main goal of this proposal is to solve this issue. Since 2024, Ruby on Rails applications are configured to use Kamal by default as a solution to deploy to production using a Docker container. To our knowledge, this would be the most simple solution to our problem.<br /> <br /> There's a third kind of Docker integration, which uses a devcontainer to allow developers to use tools like GitHub Codespaces to run the application in a development environment, which is also configured by default in new Rails applications since 2024, and we'd like to enable this option in Consul Democracy.<br /> <br /> With this developments, we could enable many more municipalities to utilise digital citizen participation - and thus offer their citizens greater involvement in the development of their cities. <br /> <br /> ==== Expected Results. ====<br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Make it possible to install and deploy Consul Democracy applications using Docker in the most simple way (probably with Kamal)<br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Add a devcontainer for integration with GitHub Codespaces <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Make sure the current development setup with Docker keeps working after the previous additions *<br /> <br /> The configuration files for all three environments mentioned above should have as little duplicate code as possible so they're easy to maintain <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Update the technical documentation for both development and production environments<br /> <br /> ==== Duration of the Project ====<br /> Medium Size 175 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/consuldemocracy/consuldemocracy<br /> <br /> ==== Knowledge Prerequisites ====<br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Experience deploying to production environments using Docker <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; (Optional) Experience using Docker in Ruby on Rails applications<br /> <br /> ====Mentors====<br /> Javier Martín - &lt;nowiki&gt;https://github.com/javierm&lt;/nowiki&gt;, Sebastià Roig - &lt;nowiki&gt;https://github.com/taitus&lt;/nowiki&gt;<br /> <br /> == '''Εxtending the apothesis factory pattern for seamless 2D and 3D lattice integration''' ==<br /> <br /> ==== '''Overview''' ====<br /> Apothesis is a generalized software for designing, simulating, and analyzing deposition processes using the kinetic Monte Carlo method. It consists of two main components: a lattice (e.g., simple cubic, HPC, etc.) and the processes (adsorption, desorption, diffusion, and surface reactions) that occur within it. Currently, Apothesis includes a factory-based mechanism for lattice creation, but this implementation is limited in scope, primarily focusing on basic lattice structures. To enhance its flexibility and scalability, this proposal aims to extend the factory pattern to support a broader range of 2D and 3D surfaces in a seamless and modular way. This extension will involve introducing specialized lattice factories tailored for different geometries, such as hexagonal, face-centered cubic, and custom surface representations, ensuring compatibility with kinetic Monte Carlo processes. Additionally, a dynamic factory registry system will be implemented, allowing new lattice types to be registered and instantiated at runtime without modifying the core system. This approach will not only improve adaptability but also facilitate user-defined lattice structures while preserving maintainability and efficiency. By refining the factory mechanism, Apothesis will provide a more robust framework for deposition process simulations, enabling researchers and engineers to explore a wider range of surface dynamics with greater ease.<br /> <br /> ==== '''Related work''' ====<br /> Apothesis already implements a factory pattern for lattice creation, but it needs to be expanded to support a broader range of 2D and 3D surfaces in a more seamless and flexible way. The current implementation primarily focuses on basic lattice structures, and extending it would involve introducing specialized factories for different geometries, such as hexagonal, face-centered cubic, and custom surface representations. Enhancing the factory pattern should include a more modular approach, allowing new lattice types to be dynamically registered and instantiated without modifying the core system. Additionally, ensuring that these new lattice structures fully integrate with kinetic Monte Carlo processes—such as adsorption, desorption, diffusion, and surface reactions—will be crucial for maintaining simulation accuracy and consistency. By refining the factory mechanism and introducing a more extensible registry system, Apothesis can achieve greater adaptability, making it easier for users to define and integrate new lattice types while preserving maintainability and scalability.<br /> <br /> ==== '''Details of your coding project''' ====<br /> A potential practical approach to extending the factory pattern in Apothesis for 2D and 3D surfaces involves creating a modular and extensible lattice generation system. This can be achieved by defining an abstract LatticeFactory that enforces a standard way of creating lattice structures while delegating specific implementations to derived factories. Specialized factories such as SimpleCubicLatticeFactory, HexagonalLatticeFactory, FCCLatticeFactory, and GrapheneLatticeFactory can be implemented to handle different lattice geometries while ensuring compatibility with kinetic Monte Carlo processes like adsorption, desorption, diffusion, and surface reactions. Each factory produces a lattice object implementing a common ILattice interface, encapsulating geometry, boundary conditions, and process compatibility. A dynamic factory registry mechanism allows runtime selection and registration of new lattice types, enabling users to introduce custom lattices without modifying the core code. This approach ensures scalability, flexibility, and maintainability by decoupling lattice creation from simulation logic while seamlessly supporting both 2D and 3D structures.<br /> <br /> ==== '''Size''' ====<br /> Large (350 hours)<br /> <br /> ==== '''Skills''' ====<br /> Required: C++, desing patters, experience with physicochemical based software<br /> <br /> ==== '''Expected impact''' ====<br /> The expected impact of extending the factory pattern in Apothesis includes enhanced flexibility, scalability, and efficiency in lattice creation for deposition process simulations. By introducing a more modular and extensible approach, researchers and engineers will be able to seamlessly integrate new 2D and 3D surface structures without modifying core code, reducing development time and increasing adaptability. The improved factory mechanism will ensure better compatibility with kinetic Monte Carlo processes, enabling more accurate and diverse simulations of adsorption, desorption, diffusion, and surface reactions. Additionally, the dynamic factory registry will foster customization and extensibility, allowing users to define and register their own lattice structures, thereby broadening the range of possible simulations. Overall, this enhancement will make Apothesis a more powerful and user-friendly tool, supporting advanced research, industrial applications, and innovation in surface science and material deposition technologies.<br /> <br /> ==== '''Mentors''' ====<br /> • Nikolaos (Nikos) Cheimarios &lt;n.cheimarios at gmail.com&gt; is a researcher with contributions in scientific software development. He has previous experience as mentor in 2020, 2022, 2023 and 2024. He is one of the authors of Apothesis, Chameleon software and several web-based scientific numerical applications.<br /> <br /> • Christianna Gatsiou &lt;christianna.gatsiou at gmail.com&gt;.<br /> <br /> ==== '''Tests''' ====<br /> Students, the following test will be helpful. • Easy: Compile and run Apothesis for the CO heterogeneous catalysis case. • Medium: Perform runs with SimpleCubic and HPC lattices. • Hard: Identify the part of code that creates the lattices. Briefly describe how you would implement the 2D graphene lattice. For tips and references contact the Mentors!<br /> <br /> ==== '''References''' ====<br /> [1] N. Cheimarios, D. To, G. Kokkoris, G. Memos and A.G. Boudouvis “Monte Carlo &amp; Kinetic Monte Carlo models for deposition processes: A review of recent works”, Frontiers in Physics, 9, 165 (2021).<br /> <br /> [2] N. Cheimarios, “Insights into the effect of growth on the Ziff-Gulari-Barshad model and the film properties”, Modelling and Simulation in Materials Science and Engineering, 31, 065007, (2023).<br /> <br /> [3] A.P.F Jansen, &quot;An Introduction to Kinetic Monte Carlo Simulations of Surface Reactions&quot;, Springer Berlin, Heidelberg, 2012. &lt;nowiki&gt;https://doi.org/10.1007/978-3-642-29488-4&lt;/nowiki&gt;<br /> <br /> [4] M. Andersen, C. Panosetti, K. Reuter, &quot;A Practical Guide to Surface Kinetic Monte Carlo Simulations&quot;, Frontiers in Chemistry, 7, 202 (2019).<br /> <br /> <br /> <br /> == '''Identifying transition points in the ZGB model using convolutional neural networks (CNNs)''' ==<br /> Scientific computing for physical/chemical sciences and engineering edited this page 3 weeks ago ·<br /> <br /> ==== '''Overview''' ====<br /> In 1986, Ziff, Gulari, and Barshad introduced the ZGB model to computationally study the heterogeneous catalytic process of CO oxidation to CO₂ with O₂ on a metal surface (e.g., Pt). Using Monte Carlo simulations on a simple square lattice, with the partial pressure of CO, yCO, as the only parameter, they demonstrated that at low yCO values, the catalytic surface becomes poisoned (fully covered) by oxygen atoms, preventing the surface reaction and the conversion to CO₂. In this case, the system remains out of equilibrium. As yCO increases, at approximately y1 ≈ 0.389, the system transitions to an equilibrium state where CO begins to convert into CO₂. Further increasing yCO leads to a first-order, discontinuous phase transition at y2 ≈ 0.525, where CO conversion to CO₂ ceases again due to surface poisoning by CO atoms. In 1990, Jensen and Fogedby extended this model by incorporating diffusion phenomena, showing that the transition points shift depending on the diffusion rate, pd , but do not disappear. <br /> <br /> ==== '''Related work''' ====<br /> Apothesis is a generalized open-source software for simulating heterogeneous catalysis and deposition processes via kMC. It is based on performing certain processes (adsorption, desorption, diffusion and surface reaction(s)) on lattices. Currently, Apothesis supports simple cubic, FCC, HPC and diamond lattices. It has been used to study both heterogeneous catalysis of CO and related type growth models [2].<br /> <br /> ==== '''Details of your coding project''' ====<br /> This works aims to predict the transition points using machine learning methods, specifically convolutional neural networks (CNNs), based on surfaces derived from kinetic Monte Carlo simulations from Apothesis at equilibrium states. For that, an outer shell to Apothesis must be build that will read the data from Apothesis and use it for training a CNN and then for the prediction of the transition points.<br /> <br /> ==== '''Size''' ====<br /> Large (350 hours)<br /> <br /> ==== '''Skills''' ====<br /> Required: Python, Tensorflow, experience with physicochemical based software<br /> <br /> ==== '''Expected impact''' ====<br /> The project will build an outer shell for Apothesis to be used in ML/AI applications.<br /> <br /> ==== '''Mentors''' ====<br /> <br /> * Nikolaos (Nikos) Cheimarios &lt;n.cheimarios at gmail.com&gt; is a researcher with contributions in scientific software development. He has previous experience as mentor in GSoC 2020, 2022, 2023 and 2024. He is one of the authors of Apothesis, Chameleon software and several web-based scientific numerical applications.<br /> * Konstantinos (Kostas) Eftaxias is a data scientist with more than 15 years of experience in research and industry applications. His main interests are computer vision, time series modelling/prediction and reinforcement learning.<br /> <br /> ==== '''Tests''' ====<br /> Students, the following test will be helpful. • Easy: Compile and run Apothesis for the CO heterogeneous catalysis case. • Medium: Take three surfaces (SurfaceSpecies_*.dat) generated by Apothesis and read it in Python. • Hard: Call Apothesis from Python and read the latest surface generated. For tips and references contact the Mentors!<br /> <br /> ==== '''References''' ====<br /> [1] R. M. Ziff, E. Gulari, and Y. Barshad, Kinetic Phase Transitions in an Irreversible Surface-Reaction Model, Phys. Rev. Lett. 56, 2553 (1986).<br /> <br /> [2] I. Jensen and H. C. Fogedby, Kinetic Phase Transitions in a Surface-Reaction Model with Diffusion: Computer Simulations and Mean-Field Theory, Phys. Rev. A 42, 1969 (1990).<br /> <br /> [3] N. Cheimarios, Surface diffusion effects on the system and the film properties of a Ziff–Gulari–Barshad type growth model, Mat. Today Comm. 39, 109189 (2024).<br /> <br /> [4] N. Cheimarios, Mean field approximation of a surface-reaction growth model with dissociation, Phys. Lett. A 524, 129828 (2024).<br /> <br /> [5] Y. Bahri, J. Kadmon, J. Pennington, S. S. Schoenholz, J. Sohl-Dickstein, S. Ganguli, Statistical Mechanics of Deep Learning, Annu. Rev. Condens.Matter Phys. 11, 501 (2020).<br /> <br /> [6] D.W. Tola, M. Bekele, Machine Learning of Nonequilibrium Phase Transition in an Ising Model on Square Lattice, Condens. Matter 8, 83 (2023).<br /> <br /> == '''MyUni''' ==<br /> <br /> ==== &lt;big&gt;Brief Explanation&lt;/big&gt; ====<br /> There is a University App called MyUoM for Greek universities in https://my.uom.gr/ (followed by an effort in University of West Attica, https://iam.uniwa.gr/). While the app serves as a centralized platform for students and faculty, it currently lacks essential features such as a robust login system, a scalable backend architecture, and the ability to provide real-time updates from official university sources. Additionally, the app does not support a unified framework that allows other universities to easily integrate and customize the platform for their specific needs.<br /> <br /> This project aims to address these limitations by developing a modern, scalable backend architecture and integrating a '''Content Management System (CMS)''' to manage frequently changing information. The CMS will enable universities to easily update and distribute news, announcements, and other critical data in real time. Furthermore, the backend will be designed to fetch and synchronize real-time information directly from official university websites, ensuring accuracy and timeliness.<br /> <br /> A key goal of this project is to '''unify and standardize''' the efforts of existing implementations (e.g., MyUoM and UniWA) and create a modular, extensible framework that other universities can adopt with minimal effort. By doing so, we aim to foster collaboration among Greek universities and provide a seamless, feature-rich experience for students and faculty across the country.<br /> <br /> This project will not only enhance the functionality of the existing app but also lay the foundation for a national university platform that can be easily extended to support additional institutions, features, and services in the future.<br /> <br /> ==== &lt;big&gt;Expected Results.&lt;/big&gt; ====<br /> <br /> # '''Modular and Customizable Architecture:''' Develop a flexible, scalable structure that can be adapted to the unique needs of different universities. The system will allow each institution to fully customize the interface, content, and functionality to align with their specific requirements.<br /> # '''Personalized Content and Homepage:''' Implement a dynamic homepage that displays customizable tiles and content, similar to a WordPress-style page builder. Institutions can personalize the content to highlight important information, announcements, or services.<br /> # '''Student Portal:''' Create a dedicated student portal where all student-related data (personal information, academic records, etc.) will be centralized. This portal will serve as a one-stop reference point for students to access their information.<br /> # '''Admin Panel for Customization:''' Build an intuitive admin panel that allows university administrators to define the appearance, content, and functionality of their institution's application. This will empower institutions to manage their app independently.<br /> # '''Backend System for Data Management:''' Develop a robust backend system to handle all data, including student information, frequently updated content, and static resources (e.g., map images). The backend will ensure efficient data management and retrieval.<br /> # '''Real-Time Data Integration:''' Set up a backend that fetches real-time information from official university sources (e.g., announcements, schedules) and integrates static resources to reduce frontend load and improve performance.<br /> # '''TypeScript Rewrite for Maintainability:''' Rewrite the existing codebase in TypeScript to enhance code quality, maintainability, and scalability, ensuring the project is future-proof.<br /> # '''Custom CMS for Dynamic Content:''' Create a custom Content Management System (CMS) consisting of both FrontEnd and BackEnd components. This CMS will allow universities to easily manage and update frequently changing information.<br /> # '''Multi-Domain Support:''' Design a system where the application can be shared across multiple university domains by creating individual instances. This will enable seamless adoption by other institutions while maintaining customization for each.&lt;br /&gt;<br /> <br /> '''Deliverables (before means to help us decide and after means at the end of GSoC)'''<br /> <br /> # Prepare the &quot;[https://docs.google.com/document/d/17MpjqzQ6DgMBU_6DfDdploEPHA-M4JKvHoDSJ8_CTRU/edit?usp=sharing Analysis and design]&quot; document. We want System Analysis, Feasibility Study, Business Procedures, User stories, EPICS, System Backlog, Requirements Analysis (before).<br /> # Wireframes or mockups (before).<br /> # Final [https://docs.google.com/document/d/17MpjqzQ6DgMBU_6DfDdploEPHA-M4JKvHoDSJ8_CTRU/edit?usp=sharing Analysis and design] document (after)<br /> # Repository with the code (after).<br /> # Docker image (after).<br /> <br /> ==== Duration of the Project ====<br /> Depending on the scope<br /> <br /> ==== Related repositories ====<br /> https://github.com/Open-Source-UoM/MyUoM<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • React.js<br /> • Express.js (for BackEnd)<br /> • MySQL (for BackEnd)<br /> • JavaScript<br /> • TypeScript<br /> • Next.js (optional)<br /> ==== Mentors: ====<br /> Anastasios Tsalmas tsalmanastasios@gmail.com, <br /> <br /> Efstathios Iosifidis eiosifidis@gmail.com<br /> <br /> '''Contact:'''<br /> <br /> There is a [https://lists.ellak.gr/gsoc-developers/listinfo.html list]. Please use the list. Write [myuni] as subject and cc both mentors. DON'T send us messages to social media (including Linkedin).<br /> <br /> == '''GlossAPI''' ==<br /> <br /> ====Brief Explanation====<br /> <br /> GlossAPI is an open source project seeking to develop a standard open access corpus of the Greek language, and benchmark it against existing and to-be-developed language models, with the objective of providing an upstream service to the Greek tech community.<br /> The project is named after a portmandeau of the Greek word for &quot;language&quot; and &quot;API&quot; which creates a visual resemblance to the word Glossary in Greek.<br /> This is to express our objective to provide an index of the Greek language via flexible programing interfaces.<br /> <br /> Greek is a language that is under-represented in existing LLMs, while it has a complex history, grammar and writing system. Our trials with existing models have shown lack of syntactic and semantic knowledge of advanced Greek and its nuances, and we have put forth a number of analyses showing that this poses a risk for digital divides, language extinction, and subpar experience for users of public services.<br /> <br /> To our knowledge other LLM projects that tackle the problem of the Greek language are either proprietary, closed code, narrow scope, or otherwise unfit for our purpose which is to provide publicly available, fully open source language models with respect to all code/weights/procedures/data.<br /> We reach out and bring together people that have the expertise, the passion, the collections, or the hardware, to take part in this endeavor, that will help the Greek stratup/tech scene catch up with the rapid developments in downstream applications that are now common place for developers of English language generative models. <br /> ====Expected Results====<br /> <br /> The project will result to an Open Source Corpus, representative of the Greek language and its different varieties. At first emphasis will be given to the formal varieties used in government, education and the law. Additionally, we want to represent, in a subsequent training stage, a number of basic knowledge domains to an &quot;undergraduate degree&quot; level. The datasets will be versioned and benchmarked against different models and tokenizers. We also need to develop a sufficient set of evaluation tasks (such as Factual QA - Greek). Finally a couple of foundation models of different architectures will be fitted onto the dataset and the evaluation suite, and published to the community under an open source licence. With these moves we expect to pollinate the Greek tech ecosystem with reliable, inexpensive, and extensible models and datasets, that will help the Greek Open Source AI scence thrive. All data and models will be accompanied by thorough documentation and guides, to ensure replicability and reusability of the results.<br /> <br /> <br /> ====Duration of the Project====<br /> <br /> 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/glossAPI/<br /> https://github.com/eellak/glossAPI/wiki<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Corpus Annotation for Language Models<br /> Quantitative Corpus Linguistics or Natural Language Processing<br /> Python with transformers library, sci-kit learn, numpy, pandas and streamlit, langchain or similar<br /> Mathematical statistics or similar discipline<br /> Django knowledge is good to have<br /> <br /> ====Mentors====<br /> <br /> F.Karounos, A. Melidis, Greek Free Open Source Software/Hardware Alliance<br /> <br /> == '''DIY IoT Physics Experiments for education''' ==<br /> <br /> ==== Brief Explanation ====<br /> Remote physics experiments for students in all educational levels are the second best to hands-on experiments.  Especially for students who temporarily cannot attend school or in cases like Covid-19 and the lockdowns. In many practical cases, they are the only alternative, as they are available 24/7, they can involve dangerous materials or conditions, they can be accessed from anywhere and any device, they require less maintenance, have lower cost, can be easily modified, or arranged to perform another experiment, and are less probable to be damaged.  They are in line with the modern way of performing experiments, as it is desirable to have as little direct contact with the experiments as possible and use them online.  Examples include online telescopes and electronic microscopes.  This is possible due to automation; data acquisition and manipulation of the experimental data is done using a computer or a single board computer.  In this way students need not take pain stacking notes, especially for experiments that take a lot of time to collect data, sometimes days or months.  Students can concentrate on data processing, the analysis of the results, and arrive at scientifically valid conclusions.  Our laboratory has set up many remote experiments and has more than 10 years’ experience in designing, setting, and servicing remote experiments.  Our remote experiments are based on Arduino and readily available sensors and actuators. The previous year it was designed and implemented a way to make the sensors, and the actuators form an IoT local network so that it will be easier to easily utilize them in different experiments and to build new experiments.  The IoT sensors and actuators are DIY and based on open software.   The previous year GSoC stipend receiver, programed the ESP8266 to receive data from the sensor and transmit the data through MQTT to ThingsBoard. Similarly, for an actuator the ESP8266 to receive MQTT data from ThingsBoard. The stipend receiver prepared five DIY IoT sensors and five actuators. ThingsBoard provided users with visual representation of the data and the control of the experimental setup through dashboards.  There are produced five dashboards for five corresponding experiments.  The present successful applicant will have to produce a digital twin of the experiments.  This will involve open software for producing 3D models of five experiments, allowing them to manipulate the digital twins, view the evolution of the experiment, provide data presentation tools, and extract model parameters.<br /> <br /> ==== Related repositories ====<br /> <br /> ==== https://github.com/totheworld2004/DIY-Physics-IoT ====<br /> <br /> ==== Exprected Outcome: ====<br /> Five digital twins of corresponding five experiments, their documentation and instructions of how to use them<br /> <br /> ==== Knowledge Prerequisites ====<br /> Any one for case a)-e) or similar --- a) 3D Web-Based Physics Simulations: Three.js, Babylon.js, p5.js, Godot b) Interactive Dashboards: Plotly Dash, Panel, Bokeh c) Custom Data Visualizations: D3.js, Matplotlib, Jupyter Notebooks d) Game-Based Physics Experiments: Godot, Babylon.js e) Embedded 3D Simulations: Three.js, Babylon.js<br /> <br /> ==== Mentors: ====<br /> Hariton Polatoglou and Panagiotis Koustoumpardis<br /> <br /> =='''eCodeOrama, an educational interactive flow visualization tool for mit scratch programs'''==<br /> <br /> ====Brief Explanation====<br /> The project will create a interactive tool to extract, visualize graphically and edit (to improve the presentation of) the layout of the flow of code in blocks / scripts in a mit scratch program and their interaction with any messages or other external events. The tool will use rules to decide on many layout parameters (e.g. the position of the code blocks in the layout, the colors used, etc) but the user will be able to overwrite the default choices. The presentation will be compatible with the codeOrama code layout specification.<br /> The tool will also promote code understanding, especially to young students that use scratch, and will include debugging aids.<br /> The students can use this flow to better visualize and understand their program, to explain it to others, to debug it and to design extensions and modifications.<br /> <br /> <br /> ====Expected Results====<br /> A tool to visualize and edit the layout of the event based script flow of a scratch program, keeping it compatible with the codeOrama code layout specification.<br /> <br /> ====Duration of the Project====<br /> 350 hours<br /> <br /> ====Related repositories====<br /> https://github.com/sarantos40/eCodeOrama<br /> <br /> ====Knowledge Prerequisites====<br /> python, mit scratch, gui development<br /> <br /> ====Mentors:====<br /> Sarantos Kapidakis (sarantos.kapidakis@gmail.com), Chrysovalantis Sfyrakis<br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2025_proposed_ideas&diff=2321 2025-03-04T11:03:41Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == '''Expanding HassIO smart home capabilities via low-code automation development''' ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto, is a Domain Specific Language (DSL) that enables users to program complex automation scenarios and pipelines, for connected IoT devices in smart environments, that go beyond simple tasks. It was initially developed by the ISSEL research team (AUTH) as textual DSL and later evolved into a web-based low-code development environment. SmAuto lacks extra features like utilization of external REST data sources, time delays, semantic annotation, and accessing of in-house entities, etc., thus it should be expanded in this direction. Furthermore, HomeAssistant would benefit from the integration of a low-code approach for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> <br /> ==== Expected Results ====<br /> • In the context of this project, we desire to expand the SmAuto DSL with the following features: a) support the REST protocol, so as for the automations to be able to access information from external data sources, b) incorporate auxiliary concepts like Delay, Switches, or Compute nodes, c) SmAuto integration in HA. The integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA addon, where users will be able to design and deploy automations graphically, using the SmAuto low-code environment.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/ <br /> <br /> ==== Knowledge Prerequisites ====<br /> [Required]: Python, Software engineering, IoT concepts, Unix/Linux, <br /> [Desired]: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> ==== Mentors ====<br /> <br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> == '''A Tool for Visualizing the Arguments, Sentiments and User Interactions of Online Discussions''' ==<br /> <br /> ==== Brief Explanation ====<br /> In recent years, the analysis and visualization of dialogue have gained prominence in fields such as computational linguistics, social sciences, and human-computer interaction. The ability to model, analyze, and visualize real-life discussions provides valuable insights into the flow of conversations, the exchange of arguments, and the sentiments conveyed. Such visualizations can improve the understanding of complex discussions, foster decision-making, and even help develop better AI systems for facilitating or mediating discussions. We are particularly interested in online text-only discussions (e.g. on platforms like Reddit).<br /> <br /> Various tools and platforms have been developed in order to facilitate structured discussions and multi-party decision making. Kialo is an online, structured debate platform, where the use of argumentation is the central component. It allows the construction of argument maps, in the form of trees. It promotes thoughtful discussion, understanding of different viewpoints and collaborative decision-making, through visualizations of argument maps. <br /> <br /> Debategraph is another online structured debate platform, using more complex graphs, called &amp;amp;quot;mind-maps&amp;amp;quot;, where arguments are interconnected in a web-like structure. It allows an even wider choice of visualizations of relationships between ideas.<br /> <br /> DebateVis is a tool that can help non-expert users explore and analyze debate transcripts. Given a transcript, the tool produces: (a) an Interactions Graph that summarizes how often each candidate spoke overall, mentioned other candidates and discussed each topic, (b) an Annotated Transcript with automatically extracted topic labels and speaker interactions, (c) a Timeline visualization providing an overview of the debate. <br /> <br /> Finally, VisArgue is a framework proposing a range of visualizations of dialogues, including: Lexical Episode Plots (a timeline representation of the topics discussed), (b) Conversational Topic Visualizations, representing the shifting of focus of individual user on topics, (c) various statistics measuring user participation, respect, justification and accommodation, (d) Lexical Units, which are timeline representations of features such as the amount of argumentation and emotions.<br /> <br /> Although tools such as the above offer important functionality, there are still issues: in most cases, either the source code is not available, or integration with new projects is not seamless, or it is difficult to parameterize the output. Furthermore, the tools above focus mostly on debate, whereas we are also interested in other types of online discussions (e.g. deliberation to improve legislation bills, non-adversarial discussions for intra-company decision making).<br /> <br /> Therefore, this project’s goal is the design and implementation of an open source tool for visualizing and analyzing real-life, online, text-only discussions, exploring subjects like: topics discussed, arguments exchanged and emotions conveyed. The project will also explore how these visualizations can be leveraged for improving public understanding of contentious issues, academic discourse, and online discussion platforms.<br /> <br /> '''Project Objectives / Contributions:'''<br /> <br /> - Select, from the literature, prominent dialogue visualization approaches / ideas (e.g. styles of graph-based, or timeline-based, visualizations used) to represent various aspects of real-life online discussions and collect available libraries (not necessarily discussion-specific) that can be used to implement them (e.g. Gephi, NetworkX).<br /> <br /> - Explore the open-source toolkits being developed in the Archimedes project “LLM3: LLMs as mediators and moderators” to measure dialogue quality aspects (e.g., sentiment, politeness, topics, user participation) and select those that can provide useful meta-data for visualizing on-line discussions.<br /> <br /> - Develop a tool capable of ingesting data from real-life online discussions generating relevant meta-data (possibly by calling other toolkits) and producing the desired visualizations of the discussions.<br /> <br /> - Potentially, evaluate the effectiveness of the tool and its visualizations in making complex online discussions understandable to diverse audiences, such as researchers, mediators, or general users.<br /> <br /> '''Project Impact:'''<br /> <br /> - A novel, easy-to-use, open source, visualization tool (with accompanying paper) for online, text-only discussions, that can help the analysis of discussions in different settings and domains (e.g. political discourse, academic debates, or customer feedback).<br /> <br /> - Expand the general understanding of how visualization techniques can make debates more accessible and informative (possibly also leading to a publication).<br /> <br />   - Contribution to the Archimedes project “LLM3: LLMs as mediators and moderators” which aims to develop and evaluate LLM-based mediation agents that will actively participate in online discussions, with or without additional human mediation.<br /> <br /> '''Key Types of Dialogue Visualizations:'''<br /> <br /> The project will develop and explore several types of dialogue visualizations. Some are briefly described below. The contributor will be free to propose and implement new ones. <br /> <br />     1) Timelines: they represent the chronological flow of a conversation, highlighting key moments such as topic shifts, argument introductions and emotional peaks. Possible Features: topic evolution over time, points of conflict or agreement, visual markers for significant events (e.g. emotional outbursts or resolution points).<br /> <br />     2) Argumentation Graphs: they visualize the logical structure of arguments, including claims, counterclaims and evidence. Possible Features: nodes representing arguments or claims, edges denoting relationships (e.g., support, contradiction).<br /> <br />     3) User Interaction Graphs: they map the relationships and interaction patterns between participants in the debate. Possible Features: nodes representing participants, weighted edges showing the frequency, tone, or sentiment of interactions, clusters indicating subgroups or coalitions in the dialogue.<br /> <br />     4) Sentiment Heatmaps: they analyze and visualize the emotional dynamics of a conversation. Possible Features: color-coded intensity for positive, negative, or neutral sentiments, overlay with timeline or topic visualization for richer insights.<br /> <br />     5) Topic Trees or Topic Flow Diagrams: they represent how topics are introduced, branched out, and revisited during the discussion. Possible Features: hierarchical or radial layouts for topic relationships, highlights of overlapping or transitioning topics.<br /> <br />     6) Hybrid Visualizations: by combining multiple visualization techniques.<br /> <br /> Importance of Dialogue Visualizations:<br /> <br /> Dialogue visualizations, such as those presented above, can support:<br /> <br /> - Topic Analysis: by identifying the main topics discussed and their transitions over time, and by highlighting overlapping topics and their importance to the dialogue.<br /> <br /> - Argumentation Analysis: by understanding the logical flow of arguments, counterarguments, and evidence, and by identifying circular reasoning, weak arguments, or areas of agreement.<br /> <br /> - Sentiment Analysis: by visualizing the emotional tone of the conversation and its impact on the debate, and by examining whether certain sentiments correlate with specific topics or arguments.<br /> <br /> - Participant Dynamics: by mapping the influence and activity of each participant, and by analyzing interaction patterns (e.g., dominance, interruptions, alliances).<br /> <br /> '''Methodology:'''<br /> <br /> - Data Collection and Preparation:<br /> <br /> The tool should be able to ingest data from various online debate platforms (e.g. Reddit, Kialo), from political debate transcripts, from academic discourse, as well as from debates among LLM-agents. Since the format of raw data may vary, we propose the use of the Convokit tool in order to homogenise and preprocess the data.<br /> <br /> - Development of Visualization Prototypes:<br /> <br /> Tools/Technologies: Python (matplotlib, seaborn, Plotly), D3.js for web-based visualizations, or tools like Gephi for network analysis. Use natural language processing (NLP) libraries (e.g., spaCy, Hugging Face Transformers) for topic modeling, sentiment analysis, and argument mining, along with tools being developed at the LLM3 project of Archimedes.<br /> <br /> - User Feedback and Iterative Improvement:<br /> <br /> Test the outputs (visualizations) with researchers, mediators, or other stakeholders. Refine designs based on usability feedback and task-specific performance.<br /> <br /> '''Evaluation'''<br /> <br /> If time allows, the contributor will contribute in evaluating the effectiveness of their dialogue visualizations, in the context of Archimedes’ LLM3 project, by using them for both real-life and LLM-generated dialogues. Their output will be measured on clarity, usability and informativeness.<br /> <br /> '''Desired Profile:'''<br /> <br /> We are looking for a contributor with the following characteristics:<br /> <br /> - Good programming skills in Python (experience in network analysis and / or NLP is a plus).<br /> <br /> - Experience (and interest for) coding visual representations of concepts with libraries such as: matplotlib, seaborn, Plotly, Gephi, D3.js. <br /> <br /> - Interest in the subject of human interaction through dialogue (more specifically, on themes such as: argumentation, topic identification, sentiment analysis).<br /> <br /> - A taste for concise, elegant and efficient solutions / visualizations.<br /> <br /> The contributor will be mentored/supported by members of the LLM3 project, the broader NLP group of Archimedes (&lt;nowiki&gt;https://archimedesai.gr/en/&lt;/nowiki&gt;), as well as the NLP Group (&lt;nowiki&gt;http://nlp.cs.aueb.gr/&lt;/nowiki&gt;) of the Department of Informatics, Athens University of Economics and Business. <br /> <br /> '''Conclusion:'''<br /> <br /> This GSOC project aims to develop an open-source tool that will make complex, online discussions more understandable, insightful, and actionable. By capturing the topics, arguments, sentiments, and participant dynamics, it will offer a comprehensive approach to online dialogue visualization that can benefit multiple fields, from education to public policy.<br /> <br /> ==== Related repositories ====<br /> https://sites.google.com/view/llm3/home<br /> <br /> ==== Expected Results ====<br /> A tool able to process real-life, text-only dialogues and produce selected visualizations capturing their essential points.<br /> <br /> ==== Mentors ====<br /> Dionysios Kontarinis (denniskont@gmail.com), Ion Androutsopoulos, Ioannis Pavlopoulos<br /> <br /> == '''PersonalAIs: Generative AI Agent for Personalized Music Recommendations''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project aims to develop an AI-powered agent that interacts with users in natural language to determine their emotional state and musical preferences in a conversational manner. The agent will then generate and refine music playlists accordingly. The system will integrate with the Spotify API to provide personalized recommendations based on user preferences, liked songs, and listening history. Users can opt-out of personal data usage for a more exploratory approach. The agent will also enable real-time conversational modifications to playlists, allowing users to tweak mood, energy, and genre preferences.<br /> <br /> ==== Core Features &amp; Technologies: ====<br /> - Natural Language Processing (NLP): Used to determine user mood and preferences based on conversation.<br /> <br /> - Generative AI: Small LLM models hosted locally or accessed via an API key for dialogue generation.<br /> <br /> - Spotify API Integration: Authentication, playlist management, retrieval of user metadata (liked songs, playlists, etc.).<br /> <br /> - Frontend UI: A web-based chatbot interface similar to ChatGPT.<br /> <br /> - Backend Processing: Handles AI model interactions, API requests, and user session management.<br /> <br /> - Real-time Modifications: Users can refine recommendations by requesting changes in mood, genre, energy, etc.<br /> <br /> Sources &amp;amp;amp;amp; References:<br /> <br /> - Spotify API Documentation: &lt;nowiki&gt;https://developer.spotify.com/documentation/web-api/&lt;/nowiki&gt;<br /> <br /> Mood-Based Playlist Research:<br /> <br /> - Generating personalized music playlists based on mood and listening data<br /> <br /> - Moodify: Emotion recognition in songs for personalized recommendations<br /> <br /> Example Datasets:<br /> <br /> - Moodify Dataset (Spotify-based mood labels)<br /> <br /> - Awesome Music Emotion Recognition (MER) Dataset Collection<br /> <br /> ==== Expected Results ====<br /> &lt;nowiki&gt;''&lt;/nowiki&gt;- A full-stack AI agent (local hosted and/or API Key) that generates personalized music playlists based on user input.  - Integration with Spotify API for user authentication, playlist creation, and retrieval of user metadata.  - Real-time, conversational playlist modifications through a chatbot-style UI.  - Advanced mood detection using NLP or audio analysis. Integration with external music recommendation sources.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== '''Knowledge Prerequisites''' ====<br /> &lt;nowiki&gt;''&lt;/nowiki&gt;- Basics of Machine Learning and NLP.  - Experience with pre-trained generative models (e.g., GPT, BERT) and recommendation systems.  - Familiarity with APIs, particularly Spotify API.  - Frontend/backend development experience for a chatbot-style UI.<br /> <br /> ==== Mentors ====<br /> Giannis Prokopiou, Thanos Aidinis<br /> <br /> == '''OpenRF 3D''' ==<br /> <br /> ==== Brief Explanation ====<br /> This project aims to bridge NVIDIA Sionna’s 6G simulation framework with Cesium’s 3D geospatial engine, enabling real-time, terrain-aware wireless network analysis. The student will develop a bidirectional WebSocket pipeline to dynamically stream Cesium’s elevation and 3D building data into Sionna, where channel models are enhanced to account for terrain-induced pathloss and urban blockages. Simultaneously, Sionna’s ray-traced outputs (e.g., signal strength, beamforming patterns) will be visualized in Cesium as interactive heatmaps and antenna coverage overlays. Key deliverables include a Python/JavaScript interface using Protocol Buffers for efficient data serialization, integration of 3GPP TR38.901 models with real-world terrain, and Jupyter notebooks demonstrating urban/rural 5G optimization.<br /> <br /> ==== Expected Results ====<br /> By the end of GSoC, this project will deliver a fully functional bidirectional WebSocket pipeline that integrates NVIDIA Sionna’s 6G simulation framework with Cesium’s 3D geospatial engine, enabling real-time, terrain-aware wireless network analysis. The system will dynamically stream Cesium’s elevation and 3D building data into Sionna, enhancing 3GPP TR38.901 propagation models with terrain-induced pathloss and urban blockages. Simultaneously, Sionna’s ray-traced outputs (signal strength, beamforming patterns) will be visualized in Cesium as interactive heatmaps and antenna coverage overlays. The project will develop an optimized Python/JavaScript interface using Protocol Buffers, ensuring low-latency, high-performance data exchange between Cesium and Sionna. Additionally, Jupyter notebooks will demonstrate urban/rural 5G optimization, beamforming analysis, and comparative studies of RF propagation models. The final deliverables will include a fully documented API, setup guides, and tutorials, contributing to the NVIDIA Sionna and Cesium open-source communities. This integration will significantly improve realism in RF simulations, allowing for next-generation 6G research, network optimization, and smart city planning.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/NVlabs/sionna, <br /> https://github.com/CesiumGS/cesium<br /> <br /> ==== Knowledge Prerequisites ====<br /> A developer with strong Python &amp; JavaScript skills, and an understanding of real-time networking (WebSockets, Protobuf). Experience in wireless communications &amp;amp;amp; 3D geospatial visualization, and prior exposure to Sionna, CesiumJS would be highly beneficial.<br /> <br /> ==== Mentors ====<br /> Ilias Chrysovergis (https://www.linkedin.com/in/ilias-chrysovergis/), Iason Malkotsis (https://malkotsis.com/)<br /> <br /> == '''Exploring and Abstracting Triplestore Alternatives''' ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to explore, analyze, and abstract various triplestore alternatives. The project aims to provide young programmers with a comprehensive understanding of different back-end alternatives that allow for storing data in triple format, commonly known as triplestores.<br /> <br /> ==== Background ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> <br /> ==== Project Description ====<br /> This project will involve a detailed exploration of various triplestore alternatives. The participants will perform rudimentary tests and benchmarks on these alternatives to understand their performance, scalability, and other key features.<br /> <br /> The ultimate goal is to develop a library that can act as an abstraction layer for these triplestore alternatives. This library will &quot;hide&quot; the underlying implementation, allowing developers to switch between different triplestores without changing their application code. This abstraction layer can be compared to a library abstracting various specific relational database management systems, all providing very similar functionality, like supporting SQL.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Identify and study various triplestore alternatives. Understand their architecture, features, and limitations.<br /> <br /> ''Testing:'' Perform rudimentary tests and benchmarks on the identified triplestore alternatives.<br /> <br /> ''Analysis:'' Analyze the test results to understand the performance and scalability of each alternative.<br /> <br /> ''Development:'' Develop an abstraction layer that can interface with the various triplestore alternatives.<br /> <br /> ''Documentation:'' Document the findings and the usage of the developed library.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a well-documented library that can act as an abstraction layer for various triplestore alternatives. This will provide developers with the flexibility to choose the most suitable triplestore for their specific needs without having to modify their application code.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the understanding of participants about triplestore alternatives but also equip them with the skills to develop an abstraction layer, thereby broadening their programming skills and knowledge.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> Related repositories<br /> <br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [[wikipedia:Triplestore|Triplestore]]<br /> - [[wikipedia:Semantic_triple|Triples]]<br /> - [[wikipedia:SPARQL|Query language]]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python (mandatory). Other programming languages like C, Go, Rust, Java, might prove useful.<br /> <br /> ==== Mentors:Alexios Zavras, TBD====<br /> <br /> == '''Flexible GovDoc Scanner''' ==<br /> <br /> ==== Brief Explanation ====<br /> The goal of this project is to develop the Flex GovDoc Scanner, an application that leverages the Node.js stack, AI tools, and cloud services to transform public incorporation documents from Greece's business portal (ΓΕΜΗ, &lt;nowiki&gt;https://publicity.businessportal.gr/&lt;/nowiki&gt;) into structured, searchable data. This project aims to facilitate access to essential company information, such as legal representatives, board members, and incorporation history, by offering advanced discovery capabilities through a REST service.<br /> <br /> '''Project Overview:'''<br /> <br /> - Crawl and Index Public Documents: <br /> <br />   Develop a robust crawling mechanism to gather all relevant PDF documents from the ΓΕΜΗ portal while ensuring compliance with legal standards.<br /> <br /> - Extract and Structure Metadata: <br /> <br />   Utilize AI and OCR technologies to extract key metadata from these documents and store them in a structured format.<br /> <br /> - REST Service for Metadata Search: <br /> <br />   Create an efficient REST API to provide users with search functionalities on the extracted metadata, enabling easy access and analysis.<br /> <br /> ==== Related repositories ====<br /> https://github.com/flexivian/govdoc-scanner<br /> <br /> ==== Expected Outcome ====<br /> &lt;nowiki&gt;''&lt;/nowiki&gt;- Implement a nodejs application to Crawl and Index Public Documents, utilize an opensource DB optimized for documents - Enhance the application with AI and OCR capabilities to extract metadata from scanned documents - Implement a REST API using nodejs to provide users with search functionalities on the extracted metadata, enabling easy access and analysis.<br /> <br /> ==== Knowledge Prerequisites ====<br /> nodejs, docker, git , AI concepts and tools, NLP, OCR, RESTful API design and implementation, Knowledge of databases (SQL or NoSQL)<br /> <br /> ==== Mentors: ====<br /> iskitsas@gmail.com, vasilisnx@gmail.com <br /> <br /> == '''Extending the capabilities of OpenTRIM''' ==<br /> <br /> ==== Brief Explanation ====<br /> OpenTRIM is a new open-source code for simulating the passage of energetic ions through materials and calculating the associated modifications and damage that they cause to the these materials. It is based on the kinetic Monte-Carlo method and employs the Binary Collision Approximation to describe the interaction between ions and target atoms. OpenTRIM comprises of a set of C++ libraries, a command line program for executing simulations in batch mode and a Qt-based graphical user interface that can be used to configure &amp;amp;amp;amp; run a simulation and evaluate the results. Currently, there are various parts of OpenTRIM where work is needed for improving and extending the capabilities of the code. <br /> <br /> ==== Expected Outcome ====<br /> 1. Extend the base C++ simulation code to include new capabilities for user-defined “tallies”, i.e., scoring tables where data from the simulation are extracted as a function of ion energy, position, direction or other possible optional variables.  2. Create a tool for 2D or 3D visualization of the simulated ion trajectories. 3. Write a number of example simulations, complete with the required input files and evaluation of the output results, which will become a part of the code documentation.<br /> <br /> ==== Duration of the Project ====<br /> Depending on the proposal<br /> <br /> ==== Related repositories ====<br /> https://github.com/ir2-lab/OpenTRIM<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, Qt (optional), OpenGL (optional)<br /> <br /> ==== Mentors:====<br /> George Apostolopoulos (&lt;nowiki&gt;https://github.com/gapost&lt;/nowiki&gt;), Michail Axiotis (&lt;nowiki&gt;https://github.com/psaxioti&lt;/nowiki&gt;), Eleni Mitsi (&lt;nowiki&gt;https://github.com/elmitsi&lt;/nowiki&gt;)<br /> <br /> <br /> <br /> == '''Cleaning of HPLT Greek v2 Dataset for GlossApi LLM''' ==<br /> <br /> ==== Brief Explanation ====<br /> Cleanup of the Greek datasets at https://hplt-project.org/datasets/v2.0. The cleanup will be done with the help of the glossAPI team. <br /> <br /> For methodology see https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1&amp;#x20;. <br /> <br /> ==== Expected Outcome ====<br /> The goal is to isolate from the html Greek text with normal grammar and complete sentences (not fragmented).<br /> <br /> ==== Duration of the Project ====<br /> Depending on the proposal<br /> <br /> ==== Related repositories ====<br /> https://github.com/eellak/glossapi<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python, βιβλιοθήκες NLP<br /> <br /> ==== Mentors:====<br /> Foivos Karounos, Nikolaos Vidras<br /> <br /> <br /> <br /> == '''Add SAML and OpenID Connect support to Consul Democracy''' ==<br /> <br /> ==== Brief Explanation ====<br /> Consul Democracy is a web-based citizen participation tool written in Ruby, using the Ruby on Rails framework. Consul Democracy is licensed under the AGPL and its installations are decentralized, meaning there are more than 200 institutions across the world running their own independent server and using a custom version of Consul Democracy. Some of these institutions have authentication solutions based on either SAML or OpenID Connect; however, there's no built-in support for these authentication solutions in Consul Democracy, so each institution has to build their own.<br /> <br /> In Ruby, the OmniAuth library provides a standard way to manage multi-provider authentication. Consul Democracy currently uses several Ruby gems, all based on OmniAuth, to provide authentication via Facebook, Google, Twitter/X and WordPress. There's been an attempt at providing SAML support using the omniauth-saml Ruby gem, but its development hasn't been finished due to the lack of a SAML platform to test against.<br /> <br /> Consul Democracy also supports multitenancy, meaning the same application can be used to manage several institutions (with different domains or subdomains). For authentication using Facebook, Google, Twitter/X or WordPress, Consul Democracy provides the option to use the same configuration for each institution, to use different configurations for different institutions, or a mix of both (one default configuration which can be overwritten per institution).<br /> <br /> The aim of this proposal is to provide generic SAML and OpenID Connect authentication solutions in Consul Democracy so a variety of institutions can easily integrate their existing authentication platform.<br /> <br /> ==== Expected Results. ====<br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Make it possible to authenticate in Consul Democracy using a SAML service <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Make it possible to authenticate in Consul Democracy using an OpenID Connect service <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Both SAML and OpenID Connect solutions must allow different configurations for different institutions in a multitenant environment <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Both SAML and OpenID Connect solutions should be flexible enough so institutions don't have to change the source code in order to configure their service <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; The source code of the SAML and OpenID Connect solutions should be similar to the source code of the existing Facebook, Google, Twitter/X and WordPress solutions <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Update the documentation with instructions on how to configure SAML and OpenID Connect <br /> <br /> ==== Duration of the Project ====<br /> Medium Size 175 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/consuldemocracy/consuldemocracy<br /> <br /> ====Knowledge Prerequisites====<br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; SAML and OpenID Connect authentication configuration * (Optional) Ruby on Rails and OmniAuth authentication<br /> <br /> ====Mentors====<br /> Javier Martín - &lt;nowiki&gt;https://github.com/javierm&lt;/nowiki&gt;, Sebastià Roig - &lt;nowiki&gt;https://github.com/taitus&lt;/nowiki&gt;<br /> <br /> <br /> == '''Docker for Consul Democracy citizen participation platform''' ==<br /> <br /> ==== Brief Explanation ====<br /> Consul Democracy is a web-based citizen participation tool written in Ruby, using the Ruby on Rails framework. Consul Democracy is licensed under the AGPL and its installations are decentralized, meaning there are more than 200 institutions across the world running their own independent server and using a custom version of Consul Democracy. That means Consul Democracy developers don't have access to production machines, and so Consul Democracy must be as simple to install and maintain as possible so anyone can do it no matter how familiar they are with the technologies used by Consul Democracy.<br /> <br /> Currently, Consul Democracy is installed on production by running an ansible-based installer which installs all the project dependencies on a Debian GNU/Linux or Ubuntu Linux server. Deployment of new developments is then done using Capistrano.<br /> <br /> The source code of Consul Democracy contains a Dockerfile and a docker-compose.yml file that are exclusively meant for the development environment, in order to make it easier for developers who are familiar with Docker to contribute to the project. However, there's currently no way to deploy to a production environment using Docker, which is inconvenient for institutions who don't use Debian or Ubuntu on their servers, or for institutions who have adopted Docker as their preferred way to setup their servers. The main goal of this proposal is to solve this issue. Since 2024, Ruby on Rails applications are configured to use Kamal by default as a solution to deploy to production using a Docker container. To our knowledge, this would be the most simple solution to our problem.<br /> <br /> There's a third kind of Docker integration, which uses a devcontainer to allow developers to use tools like GitHub Codespaces to run the application in a development environment, which is also configured by default in new Rails applications since 2024, and we'd like to enable this option in Consul Democracy.<br /> <br /> With this developments, we could enable many more municipalities to utilise digital citizen participation - and thus offer their citizens greater involvement in the development of their cities. <br /> <br /> ==== Expected Results. ====<br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Make it possible to install and deploy Consul Democracy applications using Docker in the most simple way (probably with Kamal)<br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Add a devcontainer for integration with GitHub Codespaces <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Make sure the current development setup with Docker keeps working after the previous additions *<br /> <br /> The configuration files for all three environments mentioned above should have as little duplicate code as possible so they're easy to maintain <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Update the technical documentation for both development and production environments<br /> <br /> ==== Duration of the Project ====<br /> Medium Size 175 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/consuldemocracy/consuldemocracy<br /> <br /> ==== Knowledge Prerequisites ====<br /> &lt;nowiki&gt;*&lt;/nowiki&gt; Experience deploying to production environments using Docker <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt; (Optional) Experience using Docker in Ruby on Rails applications<br /> <br /> ====Mentors====<br /> Javier Martín - &lt;nowiki&gt;https://github.com/javierm&lt;/nowiki&gt;, Sebastià Roig - &lt;nowiki&gt;https://github.com/taitus&lt;/nowiki&gt;<br /> <br /> == '''Εxtending the apothesis factory pattern for seamless 2D and 3D lattice integration''' ==<br /> <br /> ==== '''Overview''' ====<br /> Apothesis is a generalized software for designing, simulating, and analyzing deposition processes using the kinetic Monte Carlo method. It consists of two main components: a lattice (e.g., simple cubic, HPC, etc.) and the processes (adsorption, desorption, diffusion, and surface reactions) that occur within it. Currently, Apothesis includes a factory-based mechanism for lattice creation, but this implementation is limited in scope, primarily focusing on basic lattice structures. To enhance its flexibility and scalability, this proposal aims to extend the factory pattern to support a broader range of 2D and 3D surfaces in a seamless and modular way. This extension will involve introducing specialized lattice factories tailored for different geometries, such as hexagonal, face-centered cubic, and custom surface representations, ensuring compatibility with kinetic Monte Carlo processes. Additionally, a dynamic factory registry system will be implemented, allowing new lattice types to be registered and instantiated at runtime without modifying the core system. This approach will not only improve adaptability but also facilitate user-defined lattice structures while preserving maintainability and efficiency. By refining the factory mechanism, Apothesis will provide a more robust framework for deposition process simulations, enabling researchers and engineers to explore a wider range of surface dynamics with greater ease.<br /> <br /> ==== '''Related work''' ====<br /> Apothesis already implements a factory pattern for lattice creation, but it needs to be expanded to support a broader range of 2D and 3D surfaces in a more seamless and flexible way. The current implementation primarily focuses on basic lattice structures, and extending it would involve introducing specialized factories for different geometries, such as hexagonal, face-centered cubic, and custom surface representations. Enhancing the factory pattern should include a more modular approach, allowing new lattice types to be dynamically registered and instantiated without modifying the core system. Additionally, ensuring that these new lattice structures fully integrate with kinetic Monte Carlo processes—such as adsorption, desorption, diffusion, and surface reactions—will be crucial for maintaining simulation accuracy and consistency. By refining the factory mechanism and introducing a more extensible registry system, Apothesis can achieve greater adaptability, making it easier for users to define and integrate new lattice types while preserving maintainability and scalability.<br /> <br /> ==== '''Details of your coding project''' ====<br /> A potential practical approach to extending the factory pattern in Apothesis for 2D and 3D surfaces involves creating a modular and extensible lattice generation system. This can be achieved by defining an abstract LatticeFactory that enforces a standard way of creating lattice structures while delegating specific implementations to derived factories. Specialized factories such as SimpleCubicLatticeFactory, HexagonalLatticeFactory, FCCLatticeFactory, and GrapheneLatticeFactory can be implemented to handle different lattice geometries while ensuring compatibility with kinetic Monte Carlo processes like adsorption, desorption, diffusion, and surface reactions. Each factory produces a lattice object implementing a common ILattice interface, encapsulating geometry, boundary conditions, and process compatibility. A dynamic factory registry mechanism allows runtime selection and registration of new lattice types, enabling users to introduce custom lattices without modifying the core code. This approach ensures scalability, flexibility, and maintainability by decoupling lattice creation from simulation logic while seamlessly supporting both 2D and 3D structures.<br /> <br /> ==== '''Size''' ====<br /> Large (350 hours)<br /> <br /> ==== '''Skills''' ====<br /> Required: C++, desing patters, experience with physicochemical based software<br /> <br /> ==== '''Expected impact''' ====<br /> The expected impact of extending the factory pattern in Apothesis includes enhanced flexibility, scalability, and efficiency in lattice creation for deposition process simulations. By introducing a more modular and extensible approach, researchers and engineers will be able to seamlessly integrate new 2D and 3D surface structures without modifying core code, reducing development time and increasing adaptability. The improved factory mechanism will ensure better compatibility with kinetic Monte Carlo processes, enabling more accurate and diverse simulations of adsorption, desorption, diffusion, and surface reactions. Additionally, the dynamic factory registry will foster customization and extensibility, allowing users to define and register their own lattice structures, thereby broadening the range of possible simulations. Overall, this enhancement will make Apothesis a more powerful and user-friendly tool, supporting advanced research, industrial applications, and innovation in surface science and material deposition technologies.<br /> <br /> ==== '''Mentors''' ====<br /> • Nikolaos (Nikos) Cheimarios &lt;n.cheimarios at gmail.com&gt; is a researcher with contributions in scientific software development. He has previous experience as mentor in 2020, 2022, 2023 and 2024. He is one of the authors of Apothesis, Chameleon software and several web-based scientific numerical applications.<br /> <br /> • Christianna Gatsiou &lt;christianna.gatsiou at gmail.com&gt;.<br /> <br /> ==== '''Tests''' ====<br /> Students, the following test will be helpful. • Easy: Compile and run Apothesis for the CO heterogeneous catalysis case. • Medium: Perform runs with SimpleCubic and HPC lattices. • Hard: Identify the part of code that creates the lattices. Briefly describe how you would implement the 2D graphene lattice. For tips and references contact the Mentors!<br /> <br /> ==== '''References''' ====<br /> [1] N. Cheimarios, D. To, G. Kokkoris, G. Memos and A.G. Boudouvis “Monte Carlo &amp; Kinetic Monte Carlo models for deposition processes: A review of recent works”, Frontiers in Physics, 9, 165 (2021).<br /> <br /> [2] N. Cheimarios, “Insights into the effect of growth on the Ziff-Gulari-Barshad model and the film properties”, Modelling and Simulation in Materials Science and Engineering, 31, 065007, (2023).<br /> <br /> [3] A.P.F Jansen, &quot;An Introduction to Kinetic Monte Carlo Simulations of Surface Reactions&quot;, Springer Berlin, Heidelberg, 2012. &lt;nowiki&gt;https://doi.org/10.1007/978-3-642-29488-4&lt;/nowiki&gt;<br /> <br /> [4] M. Andersen, C. Panosetti, K. Reuter, &quot;A Practical Guide to Surface Kinetic Monte Carlo Simulations&quot;, Frontiers in Chemistry, 7, 202 (2019).<br /> <br /> <br /> <br /> == '''Identifying transition points in the ZGB model using convolutional neural networks (CNNs)''' ==<br /> Scientific computing for physical/chemical sciences and engineering edited this page 3 weeks ago ·<br /> <br /> ==== '''Overview''' ====<br /> In 1986, Ziff, Gulari, and Barshad introduced the ZGB model to computationally study the heterogeneous catalytic process of CO oxidation to CO₂ with O₂ on a metal surface (e.g., Pt). Using Monte Carlo simulations on a simple square lattice, with the partial pressure of CO, yCO, as the only parameter, they demonstrated that at low yCO values, the catalytic surface becomes poisoned (fully covered) by oxygen atoms, preventing the surface reaction and the conversion to CO₂. In this case, the system remains out of equilibrium. As yCO increases, at approximately y1 ≈ 0.389, the system transitions to an equilibrium state where CO begins to convert into CO₂. Further increasing yCO leads to a first-order, discontinuous phase transition at y2 ≈ 0.525, where CO conversion to CO₂ ceases again due to surface poisoning by CO atoms. In 1990, Jensen and Fogedby extended this model by incorporating diffusion phenomena, showing that the transition points shift depending on the diffusion rate, pd , but do not disappear. <br /> <br /> ==== '''Related work''' ====<br /> Apothesis is a generalized open-source software for simulating heterogeneous catalysis and deposition processes via kMC. It is based on performing certain processes (adsorption, desorption, diffusion and surface reaction(s)) on lattices. Currently, Apothesis supports simple cubic, FCC, HPC and diamond lattices. It has been used to study both heterogeneous catalysis of CO and related type growth models [2].<br /> <br /> ==== '''Details of your coding project''' ====<br /> This works aims to predict the transition points using machine learning methods, specifically convolutional neural networks (CNNs), based on surfaces derived from kinetic Monte Carlo simulations from Apothesis at equilibrium states. For that, an outer shell to Apothesis must be build that will read the data from Apothesis and use it for training a CNN and then for the prediction of the transition points.<br /> <br /> ==== '''Size''' ====<br /> Large (350 hours)<br /> <br /> ==== '''Skills''' ====<br /> Required: Python, Tensorflow, experience with physicochemical based software<br /> <br /> ==== '''Expected impact''' ====<br /> The project will build an outer shell for Apothesis to be used in ML/AI applications.<br /> <br /> ==== '''Mentors''' ====<br /> <br /> * Nikolaos (Nikos) Cheimarios &lt;n.cheimarios at gmail.com&gt; is a researcher with contributions in scientific software development. He has previous experience as mentor in GSoC 2020, 2022, 2023 and 2024. He is one of the authors of Apothesis, Chameleon software and several web-based scientific numerical applications.<br /> * Konstantinos (Kostas) Eftaxias is a data scientist with more than 15 years of experience in research and industry applications. His main interests are computer vision, time series modelling/prediction and reinforcement learning.<br /> <br /> ==== '''Tests''' ====<br /> Students, the following test will be helpful. • Easy: Compile and run Apothesis for the CO heterogeneous catalysis case. • Medium: Take three surfaces (SurfaceSpecies_*.dat) generated by Apothesis and read it in Python. • Hard: Call Apothesis from Python and read the latest surface generated. For tips and references contact the Mentors!<br /> <br /> ==== '''References''' ====<br /> [1] R. M. Ziff, E. Gulari, and Y. Barshad, Kinetic Phase Transitions in an Irreversible Surface-Reaction Model, Phys. Rev. Lett. 56, 2553 (1986).<br /> <br /> [2] I. Jensen and H. C. Fogedby, Kinetic Phase Transitions in a Surface-Reaction Model with Diffusion: Computer Simulations and Mean-Field Theory, Phys. Rev. A 42, 1969 (1990).<br /> <br /> [3] N. Cheimarios, Surface diffusion effects on the system and the film properties of a Ziff–Gulari–Barshad type growth model, Mat. Today Comm. 39, 109189 (2024).<br /> <br /> [4] N. Cheimarios, Mean field approximation of a surface-reaction growth model with dissociation, Phys. Lett. A 524, 129828 (2024).<br /> <br /> [5] Y. Bahri, J. Kadmon, J. Pennington, S. S. Schoenholz, J. Sohl-Dickstein, S. Ganguli, Statistical Mechanics of Deep Learning, Annu. Rev. Condens.Matter Phys. 11, 501 (2020).<br /> <br /> [6] D.W. Tola, M. Bekele, Machine Learning of Nonequilibrium Phase Transition in an Ising Model on Square Lattice, Condens. Matter 8, 83 (2023).<br /> <br /> == '''MyUni''' ==<br /> <br /> ==== &lt;big&gt;Brief Explanation&lt;/big&gt; ====<br /> There is a University App called MyUoM for Greek universities in https://my.uom.gr/ (followed by an effort in University of West Attica, https://iam.uniwa.gr/). While the app serves as a centralized platform for students and faculty, it currently lacks essential features such as a robust login system, a scalable backend architecture, and the ability to provide real-time updates from official university sources. Additionally, the app does not support a unified framework that allows other universities to easily integrate and customize the platform for their specific needs.<br /> <br /> This project aims to address these limitations by developing a modern, scalable backend architecture and integrating a '''Content Management System (CMS)''' to manage frequently changing information. The CMS will enable universities to easily update and distribute news, announcements, and other critical data in real time. Furthermore, the backend will be designed to fetch and synchronize real-time information directly from official university websites, ensuring accuracy and timeliness.<br /> <br /> A key goal of this project is to '''unify and standardize''' the efforts of existing implementations (e.g., MyUoM and UniWA) and create a modular, extensible framework that other universities can adopt with minimal effort. By doing so, we aim to foster collaboration among Greek universities and provide a seamless, feature-rich experience for students and faculty across the country.<br /> <br /> This project will not only enhance the functionality of the existing app but also lay the foundation for a national university platform that can be easily extended to support additional institutions, features, and services in the future.<br /> <br /> ==== &lt;big&gt;Expected Results.&lt;/big&gt; ====<br /> <br /> # '''Modular and Customizable Architecture:''' Develop a flexible, scalable structure that can be adapted to the unique needs of different universities. The system will allow each institution to fully customize the interface, content, and functionality to align with their specific requirements.<br /> # '''Personalized Content and Homepage:''' Implement a dynamic homepage that displays customizable tiles and content, similar to a WordPress-style page builder. Institutions can personalize the content to highlight important information, announcements, or services.<br /> # '''Student Portal:''' Create a dedicated student portal where all student-related data (personal information, academic records, etc.) will be centralized. This portal will serve as a one-stop reference point for students to access their information.<br /> # '''Admin Panel for Customization:''' Build an intuitive admin panel that allows university administrators to define the appearance, content, and functionality of their institution's application. This will empower institutions to manage their app independently.<br /> # '''Backend System for Data Management:''' Develop a robust backend system to handle all data, including student information, frequently updated content, and static resources (e.g., map images). The backend will ensure efficient data management and retrieval.<br /> # '''Real-Time Data Integration:''' Set up a backend that fetches real-time information from official university sources (e.g., announcements, schedules) and integrates static resources to reduce frontend load and improve performance.<br /> # '''TypeScript Rewrite for Maintainability:''' Rewrite the existing codebase in TypeScript to enhance code quality, maintainability, and scalability, ensuring the project is future-proof.<br /> # '''Custom CMS for Dynamic Content:''' Create a custom Content Management System (CMS) consisting of both FrontEnd and BackEnd components. This CMS will allow universities to easily manage and update frequently changing information.<br /> # '''Multi-Domain Support:''' Design a system where the application can be shared across multiple university domains by creating individual instances. This will enable seamless adoption by other institutions while maintaining customization for each.&lt;br /&gt;<br /> <br /> '''Deliverables (before means to help us decide and after means at the end of GSoC)'''<br /> <br /> # Prepare the &quot;[https://docs.google.com/document/d/17MpjqzQ6DgMBU_6DfDdploEPHA-M4JKvHoDSJ8_CTRU/edit?usp=sharing Analysis and design]&quot; document. We want System Analysis, Feasibility Study, Business Procedures, User stories, EPICS, System Backlog, Requirements Analysis (before).<br /> # Wireframes or mockups (before).<br /> # Final [https://docs.google.com/document/d/17MpjqzQ6DgMBU_6DfDdploEPHA-M4JKvHoDSJ8_CTRU/edit?usp=sharing Analysis and design] document (after)<br /> # Repository with the code (after).<br /> # Docker image (after).<br /> <br /> ==== Duration of the Project ====<br /> Depending on the scope<br /> <br /> ==== Related repositories ====<br /> https://github.com/Open-Source-UoM/MyUoM<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • React.js<br /> • Express.js (for BackEnd)<br /> • MySQL (for BackEnd)<br /> • JavaScript<br /> • TypeScript<br /> • Next.js (optional)<br /> ==== Mentors: ====<br /> Anastasios Tsalmas tsalmanastasios@gmail.com, <br /> <br /> Efstathios Iosifidis eiosifidis@gmail.com<br /> <br /> '''Contact:'''<br /> <br /> There is a [https://lists.ellak.gr/gsoc-developers/listinfo.html list]. Please use the list. Write [myuni] as subject and cc both mentors. DON'T send us messages to social media (including Linkedin).<br /> <br /> == '''GlossAPI''' ==<br /> <br /> ====Brief Explanation====<br /> <br /> GlossAPI is an open source project seeking to develop a standard open access corpus of the Greek language, and benchmark it against existing and to-be-developed language models, with the objective of providing an upstream service to the Greek tech community.<br /> The project is named after a portmandeau of the Greek word for &quot;language&quot; and &quot;API&quot; which creates a visual resemblance to the word Glossary in Greek.<br /> This is to express our objective to provide an index of the Greek language via flexible programing interfaces.<br /> <br /> Greek is a language that is under-represented in existing LLMs, while it has a complex history, grammar and writing system. Our trials with existing models have shown lack of syntactic and semantic knowledge of advanced Greek and its nuances, and we have put forth a number of analyses showing that this poses a risk for digital divides, language extinction, and subpar experience for users of public services.<br /> <br /> To our knowledge other LLM projects that tackle the problem of the Greek language are either proprietary, closed code, narrow scope, or otherwise unfit for our purpose which is to provide publicly available, fully open source language models with respect to all code/weights/procedures/data.<br /> We reach out and bring together people that have the expertise, the passion, the collections, or the hardware, to take part in this endeavor, that will help the Greek stratup/tech scene catch up with the rapid developments in downstream applications that are now common place for developers of English language generative models. <br /> ====Expected Results====<br /> <br /> The project will result to an Open Source Corpus, representative of the Greek language and its different varieties. At first emphasis will be given to the formal varieties used in government, education and the law. Additionally, we want to represent, in a subsequent training stage, a number of basic knowledge domains to an &quot;undergraduate degree&quot; level. The datasets will be versioned and benchmarked against different models and tokenizers. We also need to develop a sufficient set of evaluation tasks (such as Factual QA - Greek). Finally a couple of foundation models of different architectures will be fitted onto the dataset and the evaluation suite, and published to the community under an open source licence. With these moves we expect to pollinate the Greek tech ecosystem with reliable, inexpensive, and extensible models and datasets, that will help the Greek Open Source AI scence thrive. All data and models will be accompanied by thorough documentation and guides, to ensure replicability and reusability of the results.<br /> <br /> <br /> ====Duration of the Project====<br /> <br /> 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/glossAPI/<br /> https://github.com/eellak/glossAPI/wiki<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Corpus Annotation for Language Models<br /> Quantitative Corpus Linguistics or Natural Language Processing<br /> Python with transformers library, sci-kit learn, numpy, pandas and streamlit, langchain or similar<br /> Mathematical statistics or similar discipline<br /> Django knowledge is good to have<br /> <br /> ====Mentors====<br /> <br /> F.Karounos, A. Melidis, Greek Free Open Source Software/Hardware Alliance<br /> <br /> == '''DIY IoT Physics Experiments for education''' ==<br /> <br /> ==== Brief Explanation ====<br /> Remote physics experiments for students in all educational levels are the second best to hands-on experiments.  Especially for students who temporarily cannot attend school or in cases like Covid-19 and the lockdowns. In many practical cases, they are the only alternative, as they are available 24/7, they can involve dangerous materials or conditions, they can be accessed from anywhere and any device, they require less maintenance, have lower cost, can be easily modified, or arranged to perform another experiment, and are less probable to be damaged.  They are in line with the modern way of performing experiments, as it is desirable to have as little direct contact with the experiments as possible and use them online.  Examples include online telescopes and electronic microscopes.  This is possible due to automation; data acquisition and manipulation of the experimental data is done using a computer or a single board computer.  In this way students need not take pain stacking notes, especially for experiments that take a lot of time to collect data, sometimes days or months.  Students can concentrate on data processing, the analysis of the results, and arrive at scientifically valid conclusions.  Our laboratory has set up many remote experiments and has more than 10 years’ experience in designing, setting, and servicing remote experiments.  Our remote experiments are based on Arduino and readily available sensors and actuators. The previous year it was designed and implemented a way to make the sensors, and the actuators form an IoT local network so that it will be easier to easily utilize them in different experiments and to build new experiments.  The IoT sensors and actuators are DIY and based on open software.   The previous year GSoC stipend receiver, programed the ESP8266 to receive data from the sensor and transmit the data through MQTT to ThingsBoard. Similarly, for an actuator the ESP8266 to receive MQTT data from ThingsBoard. The stipend receiver prepared five DIY IoT sensors and five actuators. ThingsBoard provided users with visual representation of the data and the control of the experimental setup through dashboards.  There are produced five dashboards for five corresponding experiments.  The present successful applicant will have to produce a digital twin of the experiments.  This will involve open software for producing 3D models of five experiments, allowing them to manipulate the digital twins, view the evolution of the experiment, provide data presentation tools, and extract model parameters.<br /> <br /> ==== Related repositories ====<br /> <br /> ==== https://github.com/totheworld2004/DIY-Physics-IoT ====<br /> <br /> ==== Exprected Outcome: ====<br /> Five digital twins of corresponding five experiments, their documentation and instructions of how to use them<br /> <br /> ==== Knowledge Prerequisites ====<br /> Any one for case a)-e) or similar --- a) 3D Web-Based Physics Simulations: Three.js, Babylon.js, p5.js, Godot b) Interactive Dashboards: Plotly Dash, Panel, Bokeh c) Custom Data Visualizations: D3.js, Matplotlib, Jupyter Notebooks d) Game-Based Physics Experiments: Godot, Babylon.js e) Embedded 3D Simulations: Three.js, Babylon.js<br /> <br /> ==== Mentors: ====<br /> Hariton Polatoglou and Panagiotis Koustoumpardis<br /> <br /> =='''eCodeOrama, an educational interactive flow visualization tool for mit scratch programs'''==<br /> <br /> ====Brief Explanation====<br /> The project will create a interactive tool to extract, visualize graphically and edit (to improve the presentation of) the layout of the flow of code in blocks / scripts in a mit scratch program and their interaction with any messages or other external events. The tool will use rules to decide on many layout parameters (e.g. the position of the code blocks in the layout, the colors used, etc) but the user will be able to overwrite the default choices. The presentation will be compatible with the codeOrama code layout specification.<br /> The tool will also promote code understanding, especially to young students that use scratch, and will include debugging aids.<br /> The students can use this flow to better visualize and understand their program, to explain it to others, to debug it and to design extensions and modifications.<br /> <br /> <br /> ====Expected Results====<br /> A tool to visualize and edit the layout of the event based script flow of a scratch program, keeping it compatible with the codeOrama code layout specification.<br /> <br /> ====Duration of the Project====<br /> 350 hours<br /> <br /> ====Related repositories====<br /> https://github.com/sarantos40/eCodeOrama<br /> <br /> ====Knowledge Prerequisites====<br /> python, mit scratch, gui development<br /> <br /> ====Mentors:====<br /> Sarantos Kapidakis (sarantos.kapidakis@gmail.com), Chrysovalantis Sfyrakis<br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2025_proposed_ideas&diff=2299 2025-02-10T10:58:42Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == Expanding HassIO smart home capabilities via low-code automation development ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto, is a Domain Specific Language (DSL) that enables users to program complex automation scenarios and pipelines, for connected IoT devices in smart environments, that go beyond simple tasks. It was initially developed by the ISSEL research team (AUTH) as textual DSL and later evolved into a web-based low-code development environment. SmAuto lacks extra features like utilization of external REST data sources, time delays, semantic annotation, and accessing of in-house entities, etc., thus it should be expanded in this direction. Furthermore, HomeAssistant would benefit from the integration of a low-code approach for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> <br /> ==== Expected Results ====<br /> • In the context of this project, we desire to expand the SmAuto DSL with the following features: a) support the REST protocol, so as for the automations to be able to access information from external data sources, b) incorporate auxiliary concepts like Delay, Switches, or Compute nodes, c) SmAuto integration in HA. The integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA addon, where users will be able to design and deploy automations graphically, using the SmAuto low-code environment.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/ <br /> <br /> ==== Knowledge Prerequisites ====<br /> [Required]: Python, Software engineering, IoT concepts, Unix/Linux, <br /> [Desired]: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors ====<br /> <br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> <br /> == OpenRF 3D ==<br /> <br /> ==== Brief Explanation ====<br /> This project aims to bridge NVIDIA Sionna’s 6G simulation framework with Cesium’s 3D geospatial engine, enabling real-time, terrain-aware wireless network analysis. The student will develop a bidirectional WebSocket pipeline to dynamically stream Cesium’s elevation and 3D building data into Sionna, where channel models are enhanced to account for terrain-induced pathloss and urban blockages. Simultaneously, Sionna’s ray-traced outputs (e.g., signal strength, beamforming patterns) will be visualized in Cesium as interactive heatmaps and antenna coverage overlays. Key deliverables include a Python/JavaScript interface using Protocol Buffers for efficient data serialization, integration of 3GPP TR38.901 models with real-world terrain, and Jupyter notebooks demonstrating urban/rural 5G optimization.<br /> <br /> ==== Expected Results ====<br /> The project will deliver a fully functional YouTube data engine, interactive dashboards, automated report generation, and an LLM-powered query system, enabling intuitive data exploration and analysis for researchers and content creators. Complete documentation and an open-source release will empower community contributions.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/NVlabs/sionna, <br /> https://github.com/CesiumGS/cesium<br /> <br /> ==== Knowledge Prerequisites ====<br /> A developer with strong Python &amp;amp;amp; JavaScript skills, and an understanding of real-time networking (WebSockets, Protobuf). Experience in wireless communications &amp;amp;amp; 3D geospatial visualization, and prior exposure to Sionna, CesiumJS would be highly beneficial.<br /> <br /> <br /> ==== Mentors ====<br /> Ilias Chrysovergis (https://www.linkedin.com/in/ilias-chrysovergis/), Iason Malkotsis (https://malkotsis.com/)<br /> <br /> == Exploring and Abstracting Triplestore Alternatives ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to explore, analyze, and abstract various triplestore alternatives. The project aims to provide young programmers with a comprehensive understanding of different back-end alternatives that allow for storing data in triple format, commonly known as triplestores.<br /> <br /> ==== Background ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> <br /> ==== Project Description ====<br /> This project will involve a detailed exploration of various triplestore alternatives. The participants will perform rudimentary tests and benchmarks on these alternatives to understand their performance, scalability, and other key features.<br /> <br /> The ultimate goal is to develop a library that can act as an abstraction layer for these triplestore alternatives. This library will &quot;hide&quot; the underlying implementation, allowing developers to switch between different triplestores without changing their application code. This abstraction layer can be compared to a library abstracting various specific relational database management systems, all providing very similar functionality, like supporting SQL.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Identify and study various triplestore alternatives. Understand their architecture, features, and limitations.<br /> <br /> ''Testing:'' Perform rudimentary tests and benchmarks on the identified triplestore alternatives.<br /> <br /> ''Analysis:'' Analyze the test results to understand the performance and scalability of each alternative.<br /> <br /> ''Development:'' Develop an abstraction layer that can interface with the various triplestore alternatives.<br /> <br /> ''Documentation:'' Document the findings and the usage of the developed library.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a well-documented library that can act as an abstraction layer for various triplestore alternatives. This will provide developers with the flexibility to choose the most suitable triplestore for their specific needs without having to modify their application code.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the understanding of participants about triplestore alternatives but also equip them with the skills to develop an abstraction layer, thereby broadening their programming skills and knowledge.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://en.wikipedia.org/wiki/Triplestore Triplestore]<br /> - [https://en.wikipedia.org/wiki/Semantic_triple Triples]<br /> - [https://en.wikipedia.org/wiki/SPARQL Query language]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python (mandatory). Other programming languages like C, Go, Rust, Java, might prove useful.<br /> <br /> ==== Mentors:Alexios Zavras, TBD====<br /> <br /> == MyUni ==<br /> <br /> ==== Brief Explanation ====<br /> Currently there is a University App called MyUoM for Greek universities in https://my.uom.gr/ (followed by an effort in University of West Attica, https://iam.uniwa.gr/. This app is official but it lacks features(e.g. login) and a proper backend with an architecture that will allow different implementations for Universities. In this project we want to add a CMS for info that is changing frequently and a backend that fetches realtime info from the official websites. We want to unify those efforts and make it easier for other universities to join.<br /> <br /> <br /> <br /> ==== Expected Results. ====<br /> 1. Create a structure that can be used by different university structures and can be fully customised based on the needs of each institution.<br /> 2. The application should be fully customisable in terms of interface, content and functionality.<br /> 3. The content can be personalized and the home page can display tiles selected by each institution and display content that will be created as a page (wordpress type) <br /> 4. Adding a students portal where all the student's data, personal and any other information will be collected, in order to be used as a reference point.<br /> 5. Add an admin panel from where the appearance and content of the institution's application will be defined.<br /> 6. Create a BackEnd system to manage all the data described above.<br /> 7. Setup a backend that fetches information from official sources and static information(e.g. map images) to make the frontend lighter.<br /> 8. Rewrite in Typescript for maintainability<br /> 9. Creation of a custom CMS (consisting of FrontEnd &amp; BackEnd) for data changing frequently<br /> 10. Create a system where the application is shared across domains by creating an instance.<br /> <br /> <br /> ==== Duration of the Project ====<br /> Depending on the scope<br /> <br /> ==== Related repositories ====<br /> https://github.com/Open-Source-UoM/MyUoM<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • React.js<br /> • Express.js (for BackEnd)<br /> • MySQL (for BackEnd)<br /> • JavaScript<br /> • TypeScript<br /> • Next.js (optional)<br /> <br /> <br /> ==== Mentors: ====<br /> Anastasios Tsalmas tsalmanastasios@gmail.com, Efstathios Iosifidis eiosifidis@gmail.com<br /> <br /> == GlossAPI ==<br /> <br /> ====Brief Explanation====<br /> <br /> GlossAPI is an open source project seeking to develop a standard open access corpus of the Greek language, and benchmark it against existing and to-be-developed language models, with the objective of providing an upstream service to the Greek tech community.<br /> The project is named after a portmandeau of the Greek word for &quot;language&quot; and &quot;API&quot; which creates a visual resemblance to the word Glossary in Greek.<br /> This is to express our objective to provide an index of the Greek language via flexible programing interfaces.<br /> <br /> Greek is a language that is under-represented in existing LLMs, while it has a complex history, grammar and writing system. Our trials with existing models have shown lack of syntactic and semantic knowledge of advanced Greek and its nuances, and we have put forth a number of analyses showing that this poses a risk for digital divides, language extinction, and subpar experience for users of public services.<br /> <br /> To our knowledge other LLM projects that tackle the problem of the Greek language are either proprietary, closed code, narrow scope, or otherwise unfit for our purpose which is to provide publicly available, fully open source language models with respect to all code/weights/procedures/data.<br /> We reach out and bring together people that have the expertise, the passion, the collections, or the hardware, to take part in this endeavor, that will help the Greek stratup/tech scene catch up with the rapid developments in downstream applications that are now common place for developers of English language generative models. <br /> <br /> <br /> ====Expected Results====<br /> <br /> The project will result to an Open Source Corpus, representative of the Greek language and its different varieties. At first emphasis will be given to the formal varieties used in government, education and the law. Additionally, we want to represent, in a subsequent training stage, a number of basic knowledge domains to an &quot;undergraduate degree&quot; level. The datasets will be versioned and benchmarked against different models and tokenizers. We also need to develop a sufficient set of evaluation tasks (such as Factual QA - Greek). Finally a couple of foundation models of different architectures will be fitted onto the dataset and the evaluation suite, and published to the community under an open source licence. With these moves we expect to pollinate the Greek tech ecosystem with reliable, inexpensive, and extensible models and datasets, that will help the Greek Open Source AI scence thrive. All data and models will be accompanied by thorough documentation and guides, to ensure replicability and reusability of the results.<br /> <br /> <br /> ====Duration of the Project====<br /> <br /> 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/glossAPI/<br /> https://github.com/eellak/glossAPI/wiki<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Corpus Annotation for Language Models<br /> Quantitative Corpus Linguistics or Natural Language Processing<br /> Python with transformers library, sci-kit learn, numpy, pandas and streamlit, langchain or similar<br /> Mathematical statistics or similar discipline<br /> Django knowledge is good to have<br /> <br /> ====Mentors====<br /> <br /> F.Karounos, A. Melidis, Greek Free Open Source Software/Hardware Alliance<br /> <br /> <br /> <br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2025_proposed_ideas&diff=2298 2025-02-10T10:56:50Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == Expanding HassIO smart home capabilities via low-code automation development ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto, is a Domain Specific Language (DSL) that enables users to program complex automation scenarios and pipelines, for connected IoT devices in smart environments, that go beyond simple tasks. It was initially developed by the ISSEL research team (AUTH) as textual DSL and later evolved into a web-based low-code development environment. SmAuto lacks extra features like utilization of external REST data sources, time delays, semantic annotation, and accessing of in-house entities, etc., thus it should be expanded in this direction. Furthermore, HomeAssistant would benefit from the integration of a low-code approach for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> <br /> ==== Expected Results ====<br /> • In the context of this project, we desire to expand the SmAuto DSL with the following features: a) support the REST protocol, so as for the automations to be able to access information from external data sources, b) incorporate auxiliary concepts like Delay, Switches, or Compute nodes, c) SmAuto integration in HA. The integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA addon, where users will be able to design and deploy automations graphically, using the SmAuto low-code environment.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/ <br /> <br /> ==== Knowledge Prerequisites ====<br /> [Required]: Python, Software engineering, IoT concepts, Unix/Linux, <br /> [Desired]: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors ====<br /> <br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> <br /> == OpenRF 3D ==<br /> <br /> ==== Brief Explanation ====<br /> This project aims to bridge NVIDIA Sionna’s 6G simulation framework with Cesium’s 3D geospatial engine, enabling real-time, terrain-aware wireless network analysis. The student will develop a bidirectional WebSocket pipeline to dynamically stream Cesium’s elevation and 3D building data into Sionna, where channel models are enhanced to account for terrain-induced pathloss and urban blockages. Simultaneously, Sionna’s ray-traced outputs (e.g., signal strength, beamforming patterns) will be visualized in Cesium as interactive heatmaps and antenna coverage overlays. Key deliverables include a Python/JavaScript interface using Protocol Buffers for efficient data serialization, integration of 3GPP TR38.901 models with real-world terrain, and Jupyter notebooks demonstrating urban/rural 5G optimization.<br /> <br /> ==== Expected Results ====<br /> The project will deliver a fully functional YouTube data engine, interactive dashboards, automated report generation, and an LLM-powered query system, enabling intuitive data exploration and analysis for researchers and content creators. Complete documentation and an open-source release will empower community contributions.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/NVlabs/sionna, <br /> https://github.com/CesiumGS/cesium<br /> <br /> ==== Knowledge Prerequisites ====<br /> A developer with strong Python &amp;amp;amp; JavaScript skills, and an understanding of real-time networking (WebSockets, Protobuf). Experience in wireless communications &amp;amp;amp; 3D geospatial visualization, and prior exposure to Sionna, CesiumJS would be highly beneficial.<br /> <br /> <br /> ==== Mentors ====<br /> Ilias Chrysovergis (https://www.linkedin.com/in/ilias-chrysovergis/), Iason Malkotsis (https://malkotsis.com/)<br /> <br /> == Exploring and Abstracting Triplestore Alternatives ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to explore, analyze, and abstract various triplestore alternatives. The project aims to provide young programmers with a comprehensive understanding of different back-end alternatives that allow for storing data in triple format, commonly known as triplestores.<br /> <br /> ==== Background ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> <br /> ==== Project Description ====<br /> This project will involve a detailed exploration of various triplestore alternatives. The participants will perform rudimentary tests and benchmarks on these alternatives to understand their performance, scalability, and other key features.<br /> <br /> The ultimate goal is to develop a library that can act as an abstraction layer for these triplestore alternatives. This library will &quot;hide&quot; the underlying implementation, allowing developers to switch between different triplestores without changing their application code. This abstraction layer can be compared to a library abstracting various specific relational database management systems, all providing very similar functionality, like supporting SQL.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Identify and study various triplestore alternatives. Understand their architecture, features, and limitations.<br /> <br /> ''Testing:'' Perform rudimentary tests and benchmarks on the identified triplestore alternatives.<br /> <br /> ''Analysis:'' Analyze the test results to understand the performance and scalability of each alternative.<br /> <br /> ''Development:'' Develop an abstraction layer that can interface with the various triplestore alternatives.<br /> <br /> ''Documentation:'' Document the findings and the usage of the developed library.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a well-documented library that can act as an abstraction layer for various triplestore alternatives. This will provide developers with the flexibility to choose the most suitable triplestore for their specific needs without having to modify their application code.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the understanding of participants about triplestore alternatives but also equip them with the skills to develop an abstraction layer, thereby broadening their programming skills and knowledge.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://en.wikipedia.org/wiki/Triplestore Triplestore]<br /> - [https://en.wikipedia.org/wiki/Semantic_triple Triples]<br /> - [https://en.wikipedia.org/wiki/SPARQL Query language]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python (mandatory). Other programming languages like C, Go, Rust, Java, might prove useful.<br /> <br /> ==== Mentors:Alexios Zavras, TBD====<br /> <br /> == MyUni ==<br /> <br /> ==== Brief Explanation ====<br /> Currently there is a University App called MyUoM for Greek universities in https://my.uom.gr/ (followed by an effort in University of West Attica, https://iam.uniwa.gr/. This app is official but it lacks features(e.g. login) and a proper backend with an architecture that will allow different implementations for Universities. In this project we want to add a CMS for info that is changing frequently and a backend that fetches realtime info from the official websites. We want to unify those efforts and make it easier for other universities to join.<br /> <br /> <br /> <br /> ==== Expected Results. ====<br /> 1. Create a structure that can be used by different university structures and can be fully customised based on the needs of each institution.<br /> 2. The application should be fully customisable in terms of interface, content and functionality.<br /> 3. The content can be personalized and the home page can display tiles selected by each institution and display content that will be created as a page (wordpress type) <br /> 4. Adding a students portal where all the student's data, personal and any other information will be collected, in order to be used as a reference point.<br /> 5. Add an admin panel from where the appearance and content of the institution's application will be defined.<br /> 6. Create a BackEnd system to manage all the data described above.<br /> 7. Setup a backend that fetches information from official sources and static information(e.g. map images) to make the frontend lighter.<br /> 8. Rewrite in Typescript for maintainability<br /> 9. Creation of a custom CMS (consisting of FrontEnd &amp; BackEnd) for data changing frequently<br /> 10. Create a system where the application is shared across domains by creating an instance.<br /> <br /> <br /> ==== Duration of the Project ====<br /> Depending on the scope<br /> <br /> ==== Related repositories ====<br /> https://github.com/Open-Source-UoM/MyUoM<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • React.js<br /> • Express.js (for BackEnd)<br /> • MySQL (for BackEnd)<br /> • JavaScript<br /> • TypeScript<br /> • Next.js (optional)<br /> <br /> <br /> ==== Mentors: ====<br /> Anastasios Tsalmas tsalmanastasios@gmail.com, Efstathios Iosifidis eiosifidis@gmail.com<br /> <br /> <br /> <br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2025_proposed_ideas&diff=2297 2025-02-10T10:55:41Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == Expanding HassIO smart home capabilities via low-code automation development ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto, is a Domain Specific Language (DSL) that enables users to program complex automation scenarios and pipelines, for connected IoT devices in smart environments, that go beyond simple tasks. It was initially developed by the ISSEL research team (AUTH) as textual DSL and later evolved into a web-based low-code development environment. SmAuto lacks extra features like utilization of external REST data sources, time delays, semantic annotation, and accessing of in-house entities, etc., thus it should be expanded in this direction. Furthermore, HomeAssistant would benefit from the integration of a low-code approach for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> <br /> ==== Expected Results ====<br /> • In the context of this project, we desire to expand the SmAuto DSL with the following features: a) support the REST protocol, so as for the automations to be able to access information from external data sources, b) incorporate auxiliary concepts like Delay, Switches, or Compute nodes, c) SmAuto integration in HA. The integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA addon, where users will be able to design and deploy automations graphically, using the SmAuto low-code environment.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/ <br /> <br /> ==== Knowledge Prerequisites ====<br /> [Required]: Python, Software engineering, IoT concepts, Unix/Linux, <br /> [Desired]: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors ====<br /> <br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> <br /> == OpenRF 3D ==<br /> <br /> ==== Brief Explanation ====<br /> This project aims to bridge NVIDIA Sionna’s 6G simulation framework with Cesium’s 3D geospatial engine, enabling real-time, terrain-aware wireless network analysis. The student will develop a bidirectional WebSocket pipeline to dynamically stream Cesium’s elevation and 3D building data into Sionna, where channel models are enhanced to account for terrain-induced pathloss and urban blockages. Simultaneously, Sionna’s ray-traced outputs (e.g., signal strength, beamforming patterns) will be visualized in Cesium as interactive heatmaps and antenna coverage overlays. Key deliverables include a Python/JavaScript interface using Protocol Buffers for efficient data serialization, integration of 3GPP TR38.901 models with real-world terrain, and Jupyter notebooks demonstrating urban/rural 5G optimization.<br /> <br /> ==== Expected Results ====<br /> The project will deliver a fully functional YouTube data engine, interactive dashboards, automated report generation, and an LLM-powered query system, enabling intuitive data exploration and analysis for researchers and content creators. Complete documentation and an open-source release will empower community contributions.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/NVlabs/sionna, <br /> https://github.com/CesiumGS/cesium<br /> <br /> ==== Knowledge Prerequisites ====<br /> A developer with strong Python &amp;amp;amp; JavaScript skills, and an understanding of real-time networking (WebSockets, Protobuf). Experience in wireless communications &amp;amp;amp; 3D geospatial visualization, and prior exposure to Sionna, CesiumJS would be highly beneficial.<br /> <br /> <br /> ==== Mentors ====<br /> Ilias Chrysovergis (https://www.linkedin.com/in/ilias-chrysovergis/), Iason Malkotsis (https://malkotsis.com/)<br /> <br /> == Exploring and Abstracting Triplestore Alternatives ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to explore, analyze, and abstract various triplestore alternatives. The project aims to provide young programmers with a comprehensive understanding of different back-end alternatives that allow for storing data in triple format, commonly known as triplestores.<br /> <br /> ==== Background ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> <br /> ==== Project Description ====<br /> This project will involve a detailed exploration of various triplestore alternatives. The participants will perform rudimentary tests and benchmarks on these alternatives to understand their performance, scalability, and other key features.<br /> <br /> The ultimate goal is to develop a library that can act as an abstraction layer for these triplestore alternatives. This library will &quot;hide&quot; the underlying implementation, allowing developers to switch between different triplestores without changing their application code. This abstraction layer can be compared to a library abstracting various specific relational database management systems, all providing very similar functionality, like supporting SQL.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Identify and study various triplestore alternatives. Understand their architecture, features, and limitations.<br /> <br /> ''Testing:'' Perform rudimentary tests and benchmarks on the identified triplestore alternatives.<br /> <br /> ''Analysis:'' Analyze the test results to understand the performance and scalability of each alternative.<br /> <br /> ''Development:'' Develop an abstraction layer that can interface with the various triplestore alternatives.<br /> <br /> ''Documentation:'' Document the findings and the usage of the developed library.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a well-documented library that can act as an abstraction layer for various triplestore alternatives. This will provide developers with the flexibility to choose the most suitable triplestore for their specific needs without having to modify their application code.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the understanding of participants about triplestore alternatives but also equip them with the skills to develop an abstraction layer, thereby broadening their programming skills and knowledge.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://en.wikipedia.org/wiki/Triplestore Triplestore]<br /> - [https://en.wikipedia.org/wiki/Semantic_triple Triples]<br /> - [https://en.wikipedia.org/wiki/SPARQL Query language]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python (mandatory). Other programming languages like C, Go, Rust, Java, might prove useful.<br /> <br /> ==== Mentors:Alexios Zavras, TBD<br /> <br /> ====== MyUni ==<br /> <br /> ==== Brief Explanation ====<br /> Currently there is a University App called MyUoM for Greek universities in https://my.uom.gr/ (followed by an effort in University of West Attica, https://iam.uniwa.gr/. This app is official but it lacks features(e.g. login) and a proper backend with an architecture that will allow different implementations for Universities. In this project we want to add a CMS for info that is changing frequently and a backend that fetches realtime info from the official websites. We want to unify those efforts and make it easier for other universities to join.<br /> <br /> <br /> <br /> ==== Expected Results. ====<br /> 1. Create a structure that can be used by different university structures and can be fully customised based on the needs of each institution.<br /> 2. The application should be fully customisable in terms of interface, content and functionality.<br /> 3. The content can be personalized and the home page can display tiles selected by each institution and display content that will be created as a page (wordpress type) <br /> 4. Adding a students portal where all the student's data, personal and any other information will be collected, in order to be used as a reference point.<br /> 5. Add an admin panel from where the appearance and content of the institution's application will be defined.<br /> 6. Create a BackEnd system to manage all the data described above.<br /> 7. Setup a backend that fetches information from official sources and static information(e.g. map images) to make the frontend lighter.<br /> 8. Rewrite in Typescript for maintainability<br /> 9. Creation of a custom CMS (consisting of FrontEnd &amp; BackEnd) for data changing frequently<br /> 10. Create a system where the application is shared across domains by creating an instance.<br /> <br /> <br /> ==== Duration of the Project ====<br /> Depending on the scope<br /> <br /> ==== Related repositories ====<br /> https://github.com/Open-Source-UoM/MyUoM<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • React.js<br /> • Express.js (for BackEnd)<br /> • MySQL (for BackEnd)<br /> • JavaScript<br /> • TypeScript<br /> • Next.js (optional)<br /> <br /> <br /> ==== Mentors: ====<br /> Anastasios Tsalmas tsalmanastasios@gmail.com, Efstathios Iosifidis eiosifidis@gmail.com<br /> <br /> <br /> <br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2025_proposed_ideas&diff=2296 2025-02-10T10:54:59Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == Expanding HassIO smart home capabilities via low-code automation development ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto, is a Domain Specific Language (DSL) that enables users to program complex automation scenarios and pipelines, for connected IoT devices in smart environments, that go beyond simple tasks. It was initially developed by the ISSEL research team (AUTH) as textual DSL and later evolved into a web-based low-code development environment. SmAuto lacks extra features like utilization of external REST data sources, time delays, semantic annotation, and accessing of in-house entities, etc., thus it should be expanded in this direction. Furthermore, HomeAssistant would benefit from the integration of a low-code approach for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> <br /> ==== Expected Results ====<br /> • In the context of this project, we desire to expand the SmAuto DSL with the following features: a) support the REST protocol, so as for the automations to be able to access information from external data sources, b) incorporate auxiliary concepts like Delay, Switches, or Compute nodes, c) SmAuto integration in HA. The integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA addon, where users will be able to design and deploy automations graphically, using the SmAuto low-code environment.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/ <br /> <br /> ==== Knowledge Prerequisites ====<br /> [Required]: Python, Software engineering, IoT concepts, Unix/Linux, <br /> [Desired]: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors ====<br /> <br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> <br /> == OpenRF 3D ==<br /> <br /> ==== Brief Explanation ====<br /> This project aims to bridge NVIDIA Sionna’s 6G simulation framework with Cesium’s 3D geospatial engine, enabling real-time, terrain-aware wireless network analysis. The student will develop a bidirectional WebSocket pipeline to dynamically stream Cesium’s elevation and 3D building data into Sionna, where channel models are enhanced to account for terrain-induced pathloss and urban blockages. Simultaneously, Sionna’s ray-traced outputs (e.g., signal strength, beamforming patterns) will be visualized in Cesium as interactive heatmaps and antenna coverage overlays. Key deliverables include a Python/JavaScript interface using Protocol Buffers for efficient data serialization, integration of 3GPP TR38.901 models with real-world terrain, and Jupyter notebooks demonstrating urban/rural 5G optimization.<br /> <br /> ==== Expected Results ====<br /> The project will deliver a fully functional YouTube data engine, interactive dashboards, automated report generation, and an LLM-powered query system, enabling intuitive data exploration and analysis for researchers and content creators. Complete documentation and an open-source release will empower community contributions.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/NVlabs/sionna, <br /> https://github.com/CesiumGS/cesium<br /> <br /> ==== Knowledge Prerequisites ====<br /> A developer with strong Python &amp;amp;amp; JavaScript skills, and an understanding of real-time networking (WebSockets, Protobuf). Experience in wireless communications &amp;amp;amp; 3D geospatial visualization, and prior exposure to Sionna, CesiumJS would be highly beneficial.<br /> <br /> <br /> ==== Mentors ====<br /> Ilias Chrysovergis (https://www.linkedin.com/in/ilias-chrysovergis/), Iason Malkotsis (https://malkotsis.com/)<br /> <br /> == Exploring and Abstracting Triplestore Alternatives ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to explore, analyze, and abstract various triplestore alternatives. The project aims to provide young programmers with a comprehensive understanding of different back-end alternatives that allow for storing data in triple format, commonly known as triplestores.<br /> <br /> ==== Background ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> <br /> ==== Project Description ====<br /> This project will involve a detailed exploration of various triplestore alternatives. The participants will perform rudimentary tests and benchmarks on these alternatives to understand their performance, scalability, and other key features.<br /> <br /> The ultimate goal is to develop a library that can act as an abstraction layer for these triplestore alternatives. This library will &quot;hide&quot; the underlying implementation, allowing developers to switch between different triplestores without changing their application code. This abstraction layer can be compared to a library abstracting various specific relational database management systems, all providing very similar functionality, like supporting SQL.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Identify and study various triplestore alternatives. Understand their architecture, features, and limitations.<br /> <br /> ''Testing:'' Perform rudimentary tests and benchmarks on the identified triplestore alternatives.<br /> <br /> ''Analysis:'' Analyze the test results to understand the performance and scalability of each alternative.<br /> <br /> ''Development:'' Develop an abstraction layer that can interface with the various triplestore alternatives.<br /> <br /> ''Documentation:'' Document the findings and the usage of the developed library.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a well-documented library that can act as an abstraction layer for various triplestore alternatives. This will provide developers with the flexibility to choose the most suitable triplestore for their specific needs without having to modify their application code.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the understanding of participants about triplestore alternatives but also equip them with the skills to develop an abstraction layer, thereby broadening their programming skills and knowledge.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://en.wikipedia.org/wiki/Triplestore Triplestore]<br /> - [https://en.wikipedia.org/wiki/Semantic_triple Triples]<br /> - [https://en.wikipedia.org/wiki/SPARQL Query language]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python (mandatory). Other programming languages like C, Go, Rust, Java, might prove useful.<br /> <br /> ==== Mentors: ====== MyUni ==<br /> <br /> ==== Brief Explanation ====<br /> Currently there is a University App called MyUoM for Greek universities in https://my.uom.gr/ (followed by an effort in University of West Attica, https://iam.uniwa.gr/. This app is official but it lacks features(e.g. login) and a proper backend with an architecture that will allow different implementations for Universities. In this project we want to add a CMS for info that is changing frequently and a backend that fetches realtime info from the official websites. We want to unify those efforts and make it easier for other universities to join.<br /> <br /> <br /> <br /> ==== Expected Results. ====<br /> 1. Create a structure that can be used by different university structures and can be fully customised based on the needs of each institution.<br /> 2. The application should be fully customisable in terms of interface, content and functionality.<br /> 3. The content can be personalized and the home page can display tiles selected by each institution and display content that will be created as a page (wordpress type) <br /> 4. Adding a students portal where all the student's data, personal and any other information will be collected, in order to be used as a reference point.<br /> 5. Add an admin panel from where the appearance and content of the institution's application will be defined.<br /> 6. Create a BackEnd system to manage all the data described above.<br /> 7. Setup a backend that fetches information from official sources and static information(e.g. map images) to make the frontend lighter.<br /> 8. Rewrite in Typescript for maintainability<br /> 9. Creation of a custom CMS (consisting of FrontEnd &amp; BackEnd) for data changing frequently<br /> 10. Create a system where the application is shared across domains by creating an instance.<br /> <br /> <br /> ==== Duration of the Project ====<br /> Depending on the scope<br /> <br /> ==== Related repositories ====<br /> https://github.com/Open-Source-UoM/MyUoM<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • React.js<br /> • Express.js (for BackEnd)<br /> • MySQL (for BackEnd)<br /> • JavaScript<br /> • TypeScript<br /> • Next.js (optional)<br /> <br /> <br /> ==== Mentors: ====<br /> Anastasios Tsalmas tsalmanastasios@gmail.com, Efstathios Iosifidis eiosifidis@gmail.com<br /> <br /> Alexios Zavras, TBD<br /> <br /> <br /> <br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2025_proposed_ideas&diff=2295 2025-02-10T10:50:30Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == Expanding HassIO smart home capabilities via low-code automation development ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto, is a Domain Specific Language (DSL) that enables users to program complex automation scenarios and pipelines, for connected IoT devices in smart environments, that go beyond simple tasks. It was initially developed by the ISSEL research team (AUTH) as textual DSL and later evolved into a web-based low-code development environment. SmAuto lacks extra features like utilization of external REST data sources, time delays, semantic annotation, and accessing of in-house entities, etc., thus it should be expanded in this direction. Furthermore, HomeAssistant would benefit from the integration of a low-code approach for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> <br /> ==== Expected Results ====<br /> • In the context of this project, we desire to expand the SmAuto DSL with the following features: a) support the REST protocol, so as for the automations to be able to access information from external data sources, b) incorporate auxiliary concepts like Delay, Switches, or Compute nodes, c) SmAuto integration in HA. The integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA addon, where users will be able to design and deploy automations graphically, using the SmAuto low-code environment.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/ <br /> <br /> ==== Knowledge Prerequisites ====<br /> [Required]: Python, Software engineering, IoT concepts, Unix/Linux, <br /> [Desired]: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors ====<br /> <br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> <br /> == OpenRF 3D ==<br /> <br /> ==== Brief Explanation ====<br /> This project aims to bridge NVIDIA Sionna’s 6G simulation framework with Cesium’s 3D geospatial engine, enabling real-time, terrain-aware wireless network analysis. The student will develop a bidirectional WebSocket pipeline to dynamically stream Cesium’s elevation and 3D building data into Sionna, where channel models are enhanced to account for terrain-induced pathloss and urban blockages. Simultaneously, Sionna’s ray-traced outputs (e.g., signal strength, beamforming patterns) will be visualized in Cesium as interactive heatmaps and antenna coverage overlays. Key deliverables include a Python/JavaScript interface using Protocol Buffers for efficient data serialization, integration of 3GPP TR38.901 models with real-world terrain, and Jupyter notebooks demonstrating urban/rural 5G optimization.<br /> <br /> ==== Expected Results ====<br /> The project will deliver a fully functional YouTube data engine, interactive dashboards, automated report generation, and an LLM-powered query system, enabling intuitive data exploration and analysis for researchers and content creators. Complete documentation and an open-source release will empower community contributions.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/NVlabs/sionna, <br /> https://github.com/CesiumGS/cesium<br /> <br /> ==== Knowledge Prerequisites ====<br /> A developer with strong Python &amp;amp;amp; JavaScript skills, and an understanding of real-time networking (WebSockets, Protobuf). Experience in wireless communications &amp;amp;amp; 3D geospatial visualization, and prior exposure to Sionna, CesiumJS would be highly beneficial.<br /> <br /> <br /> ==== Mentors ====<br /> Ilias Chrysovergis (https://www.linkedin.com/in/ilias-chrysovergis/), Iason Malkotsis (https://malkotsis.com/)<br /> <br /> [[Κατηγορία:GSOC2025]]<br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code&diff=2294 2025-01-28T08:31:01Z

<p>Pkst: </p> <hr /> <div><br /> [[Αρχείο:Gfoss2.png ‎|432x432px]] [[Αρχείο:400px-GSoC2016Logo.jpg]]<br /> == Welcome to the GFOSS Google Summer of Code page ==<br /> <br /> <br /> * See [[Google Summer of Code 2025 proposed ideas]]<br /> * See [[Google Summer of Code 2024 proposed ideas]]<br /> <br /> * See [[Google Summer of Code 2023 proposed ideas]]<br /> * See [[Google Summer of Code 2022 proposed ideas]]<br /> * [[Google Summer of Code 2021 Accepted Projects|See Google Summer of Code 2021 Accepted projects]]<br /> * See [[Google Summer of Code 2021 proposed ideas]]<br /> * See [https://ellak.gr/wiki/index.php?title=Google_Summer_of_Code_2019_Accepted_projects Google Summer of Code 2019 Accepted projects]<br /> <br /> * See [[Google Summer of Code 2019 proposed ideas]]<br /> <br /> * See [[Google Summer of Code 2018 Accepted projects]]<br /> <br /> * See [https://ellak.gr/wiki/index.php?title=GSOC2018_Projects Google Summer of Code 2018 proposed ideas ]<br /> <br /> * See [[Google Summer of Code 2017 Accepted projects]]<br /> <br /> * See [https://ellak.gr/wiki/index.php?title=GSOC2017_Ideas Google Summer of Code 2017 proposed ideas ]<br /> <br /> == Open Technologies Alliance at Google Summer of Code Archive ==<br /> <br /> [https://summerofcode.withgoogle.com/archive/2024/organizations/open-technologies-alliance-gfoss#projects-list GFOSS at GSOC 2024] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2023/organizations/open-technologies-alliance-gfoss#projects-list GFOSS at GSOC 2023] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2022/organizations/open-technologies-alliance-gfoss#projects-list GFOSS at GSOC 2022] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2021/organizations/5185060013080576#projects-list GFOSS at GSOC 2021] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2019/organizations/6491213031538688/ GFOSS at GSOC 2019] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2018/organizations/5472477677355008/ GFOSS at GSOC 2018]<br /> <br /> [https://summerofcode.withgoogle.com/archive/2017/organizations/6266968780832768/ GFOSS at GSOC 2017]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code&diff=2293 2025-01-28T08:29:45Z

<p>Pkst: </p> <hr /> <div><br /> [[Αρχείο:Gfoss2.png ‎|432x432px]] [[Αρχείο:400px-GSoC2016Logo.jpg]]<br /> == Welcome to the GFOSS Google Summer of Code page ==<br /> <br /> <br /> * See [[Google Summer of Code 2025 proposed ideas]]<br /> * See [[Google Summer of Code 2024 proposed ideas]]<br /> <br /> * See [[Google Summer of Code 2023 proposed ideas]]<br /> * See [[Google Summer of Code 2022 proposed ideas]]<br /> * [[Google Summer of Code 2021 Accepted Projects|See Google Summer of Code 2021 Accepted projects]]<br /> * See [[Google Summer of Code 2021 proposed ideas]]<br /> * See [https://ellak.gr/wiki/index.php?title=Google_Summer_of_Code_2019_Accepted_projects Google Summer of Code 2019 Accepted projects]<br /> <br /> * See [[Google Summer of Code 2019 proposed ideas]]<br /> <br /> * See [[Google Summer of Code 2018 Accepted projects]]<br /> <br /> * See [https://ellak.gr/wiki/index.php?title=GSOC2018_Projects Google Summer of Code 2018 proposed ideas ]<br /> <br /> * See [[Google Summer of Code 2017 Accepted projects]]<br /> <br /> * See [https://ellak.gr/wiki/index.php?title=GSOC2017_Ideas Google Summer of Code 2017 proposed ideas ]<br /> <br /> == Open Technologies Alliance at Google Summer of Code Archive ==<br /> <br /> [https://summerofcode.withgoogle.com/archive/2024/organizations/open-technologies-alliance-gfoss#projects-list GFOSS at GSOC 2024] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2023/organizations/open-technologies-alliance-gfoss#projects-list GFOSS at GSOC 2023] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2022/organizations/open-technologies-alliance-gfoss#projects-list GFOSS at GSOC 2022] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2021/organizations/open-technologies-alliance-gfoss#projects-list GFOSS at GSOC 2021] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2019/organizations/6491213031538688/ GFOSS at GSOC 2019] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2018/organizations/5472477677355008/ GFOSS at GSOC 2018]<br /> <br /> [https://summerofcode.withgoogle.com/archive/2017/organizations/6266968780832768/ GFOSS at GSOC 2017]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code&diff=2292 2025-01-28T08:15:44Z

<p>Pkst: </p> <hr /> <div><br /> [[Αρχείο:Gfoss2.png ‎|432x432px]] [[Αρχείο:400px-GSoC2016Logo.jpg]]<br /> == Welcome to the GFOSS Google Summer of Code page ==<br /> <br /> <br /> * See [[Google Summer of Code 2025 proposed ideas]]<br /> * See [[Google Summer of Code 2024 proposed ideas]]<br /> <br /> * See [[Google Summer of Code 2023 proposed ideas]]<br /> * See [[Google Summer of Code 2022 proposed ideas]]<br /> * [[Google Summer of Code 2021 Accepted Projects|See Google Summer of Code 2021 Accepted projects]]<br /> * See [[Google Summer of Code 2021 proposed ideas]]<br /> * See [https://ellak.gr/wiki/index.php?title=Google_Summer_of_Code_2019_Accepted_projects Google Summer of Code 2019 Accepted projects]<br /> <br /> * See [[Google Summer of Code 2019 proposed ideas]]<br /> <br /> * See [[Google Summer of Code 2018 Accepted projects]]<br /> <br /> * See [https://ellak.gr/wiki/index.php?title=GSOC2018_Projects Google Summer of Code 2018 proposed ideas ]<br /> <br /> * See [[Google Summer of Code 2017 Accepted projects]]<br /> <br /> * See [https://ellak.gr/wiki/index.php?title=GSOC2017_Ideas Google Summer of Code 2017 proposed ideas ]<br /> <br /> == Open Technologies Alliance at Google Summer of Code Archive ==<br /> <br /> [https://summerofcode.withgoogle.com/archive/2019/organizations/6491213031538688/ GFOSS at GSOC 2019] <br /> <br /> [https://summerofcode.withgoogle.com/archive/2018/organizations/5472477677355008/ GFOSS at GSOC 2018]<br /> <br /> [https://summerofcode.withgoogle.com/archive/2017/organizations/6266968780832768/ GFOSS at GSOC 2017]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2025_proposed_ideas&diff=2291 2025-01-28T07:48:05Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == Expanding HassIO smart home capabilities via low-code automation development ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto, is a Domain Specific Language (DSL) that enables users to program complex automation scenarios and pipelines, for connected IoT devices in smart environments, that go beyond simple tasks. It was initially developed by the ISSEL research team (AUTH) as textual DSL and later evolved into a web-based low-code development environment. SmAuto lacks extra features like utilization of external REST data sources, time delays, semantic annotation, and accessing of in-house entities, etc., thus it should be expanded in this direction. Furthermore, HomeAssistant would benefit from the integration of a low-code approach for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> <br /> ==== Expected Results ====<br /> • In the context of this project, we desire to expand the SmAuto DSL with the following features: a) support the REST protocol, so as for the automations to be able to access information from external data sources, b) incorporate auxiliary concepts like Delay, Switches, or Compute nodes, c) SmAuto integration in HA. The integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA addon, where users will be able to design and deploy automations graphically, using the SmAuto low-code environment.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/ <br /> <br /> ==== Knowledge Prerequisites ====<br /> [Required]: Python, Software engineering, IoT concepts, Unix/Linux, <br /> [Desired]: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors ====<br /> <br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> [[Κατηγορία:GSOC2025]]<br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2025_proposed_ideas&diff=2290 2025-01-28T07:19:20Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == Expanding HassIO smart home capabilities via low-code automation development ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto, is a Domain Specific Language (DSL) that enables users to program complex automation scenarios and pipelines, for connected IoT devices in smart environments, that go beyond simple tasks. It was initially developed by the ISSEL research team (AUTH) as textual DSL and later evolved into a web-based low-code development environment. SmAuto lacks extra features like utilization of external REST data sources, time delays, semantic annotation, and accessing of in-house entities, etc., thus it should be expanded in this direction. Furthermore, HomeAssistant would benefit from the integration of a low-code approach for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> <br /> ==== Expected Results ====<br /> • In the context of this project, we desire to expand the SmAuto DSL with the following features: a) support the REST protocol, so as for the automations to be able to access information from external data sources, b) incorporate auxiliary concepts like Delay, Switches, or Compute nodes, c) SmAuto integration in HA. The integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA addon, where users will be able to design and deploy automations graphically, using the SmAuto low-code environment.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/ <br /> <br /> ==== Knowledge Prerequisites ====<br /> [Required]: Python, Software engineering, IoT concepts, Unix/Linux, <br /> [Desired]: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors ====<br /> <br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2025_proposed_ideas&diff=2289 2025-01-28T07:10:28Z

<p>Pkst: Νέα σελίδα με &#039;Contributors interested to participate should check which of the following projects fits their interests and skills. &#039;&#039;&#039;Τo communicate with the mentors and ask questi...&#039;</p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2024_proposed_ideas&diff=2285 2024-04-02T08:10:12Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == EDGAR-CRAWLER: Democratizing accessibility to Financial NLP documents ==<br /> <br /> ==== Brief Explanation ====<br /> Natural Language Processing (NLP) faces big challenges in the field of business and finance since financial text data is often locked behind paywalls, making it hard to get the information we need. This problem highlights why it is so important to automate data collection from free sources, like EDGAR, the U.S. Securities and Exchange Commission's public database. EDGAR contains documents about publicly traded stocks from companies in the U.S., like Microsoft, Google, or Amazon. Our existing software, EDGAR-CRAWLER, tackles this problem by automatically downloading and “cleaning” financial documents, mainly through the use of regular expressions, and then making such data available in an easy-to-use JSON format for NLP pipelines and applications. EDGAR-CRAWLER, with over 190 stars on Github, is the go-to toolkit for making financial data accessible to everyone. However, currently, it is only limited to one type of company filing, the annual reports (10-K filings). By adding support for more types of documents, EDGAR-CRAWLER plans to make financial information even more accessible, playing a vital role in the progress of financial NLP and open data.<br /> <br /> ==== Expected Results ====<br /> • Extend EDGAR-CRAWLER to fetch more types of US company filings like quarterly reports (10-Q) and current reports (8-K), using string-searching algorithms like regular expressions<br /> <br /> • Write documentation for these new features<br /> <br /> • Develop unit tests for these new features<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/nlpaueb/edgar-crawler/<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • Proficiency in Python and Software Development <br /> <br /> • Familiarity with regular expressions and Natural Language Processing (NLP) <br /> <br /> • Experience in web scraping and data processing (beautifulsoup, pandas) <br /> <br /> • Interest in Machine Learning (ML) <br /> <br /> ==== Mentors ====<br /> <br /> Lefteris Loukas, Ion Androutsopoulos<br /> <br /> <br /> == GlossAPI ==<br /> <br /> ====Brief Explanation====<br /> <br /> GlossAPI is an open source project seeking to develop a standard open access corpus of the Greek language, and benchmark it against existing and to-be-developed language models, with the objective of providing an upstream service to the Greek tech community.<br /> The project is named after a portmandeau of the Greek word for &quot;language&quot; and &quot;API&quot; which creates a visual resemblance to the word Glossary in Greek.<br /> This is to express our objective to provide an index of the Greek language via flexible programing interfaces.<br /> <br /> Greek is a language that is under-represented in existing LLMs, while it has a complex history, grammar and writing system. Our trials with existing models have shown lack of syntactic and semantic knowledge of advanced Greek and its nuances, and we have put forth a number of analyses showing that this poses a risk for digital divides, language extinction, and subpar experience for users of public services.<br /> <br /> To our knowledge other LLM projects that tackle the problem of the Greek language are either proprietary, closed code, narrow scope, or otherwise unfit for our purpose which is to provide publicly available, fully open source language models with respect to all code/weights/procedures/data.<br /> We reach out and bring together people that have the expertise, the passion, the collections, or the hardware, to take part in this endeavor, that will help the Greek stratup/tech scene catch up with the rapid developments in downstream applications that are now common place for developers of English language generative models. <br /> <br /> <br /> ====Expected Results====<br /> <br /> The project will result to an Open Source Corpus, representative of the Greek language and its different varieties. At first emphasis will be given to the formal varieties used in government, education and the law. Additionally, we want to represent, in a subsequent training stage, a number of basic knowledge domains to an &quot;undergraduate degree&quot; level. The datasets will be versioned and benchmarked against different models and tokenizers. We also need to develop a sufficient set of evaluation tasks (such as Factual QA - Greek). Finally a couple of foundation models of different architectures will be fitted onto the dataset and the evaluation suite, and published to the community under an open source licence. With these moves we expect to pollinate the Greek tech ecosystem with reliable, inexpensive, and extensible models and datasets, that will help the Greek Open Source AI scence thrive. All data and models will be accompanied by thorough documentation and guides, to ensure replicability and reusability of the results.<br /> <br /> <br /> ====Duration of the Project====<br /> <br /> 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/glossAPI/<br /> https://github.com/eellak/glossAPI/wiki<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Corpus Annotation for Language Models<br /> Quantitative Corpus Linguistics or Natural Language Processing<br /> Python with transformers library, sci-kit learn, numpy, pandas and streamlit, langchain or similar<br /> Mathematical statistics or similar discipline<br /> Django knowledge is good to have<br /> <br /> ====Mentors====<br /> <br /> N. Giallousi, A. Melidis, Greek Free Open Source Software/Hardware Alliance<br /> <br /> <br /> <br /> == Greeklish-to-Greek: Development of an open-source and state-of-the-art toolkit ==<br /> <br /> ==== Brief Explanation ====<br /> &quot;Greeklish” is a way of writing Greek with the commonly used Latin alphabet instead of the Greek alphabet (think of “kalimera” instead of “καλημέρα”), and has been widely used by Greek speakers for decades due to early technological limitations in supporting Greek characters. Its ease of use for informal digital communication, such as on forums or in comments, allows for quick language switching without changing any keyboard input, and hides spelling errors. However, Greeklish complicates the development of Natural Language Processing (NLP) tools for the Greek language because Machine Learning (ML) models are trained on standard Greek, not Greeklish. Most existing Greeklish-to-Greek toolkits are limited, rule-based, and closed-source. Our team has researched and developed state-of-the-art Greeklish-to-Greek methods utilizing Transformer NLP models (paper available at: https://drive.google.com/file/d/1mmCaEyue8xWcEEgDTrRv9gzvAGEFgohl/view?usp=sharing). The purpose of the project is to develop an open-source, user-friendly Python toolkit, based on our existing research so that the community can benefit from it.<br /> The GSOC contributor will work in close collaboration between helvia.ai (https://helvia.ai/) and the AUEB NLP Group (http://nlp.cs.aueb.gr/software.html), leveraging both industrial and academic expertise to tackle these NLP challenges.<br /> <br /> ==== Expected Results ====<br /> • Development of a user-friendly Python wrapper based on our best Greeklish-to-Greek NLP model  <br /> <br /> • Documentation and unit testing of the library <br /> <br /> • Development of new methods for Greeklish-to-Greek conversion, utilizing more recent and promising Large Language Models (LLMs), such as Meta’s LLaMA2 or Mistral models<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> While the proposed Greeklish toolkit can be developed independently, it could also be integrated as an extra functionality to the mentors’ affiliated current state-of-the-art Greek NLP toolkit: &lt;nowiki&gt;https://github.com/nlpaueb/gr-nlp-toolkit&lt;/nowiki&gt;<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • Advanced Python Programming and Software Engineering <br /> <br /> • Deep Learning for NLP and familiarity with related frameworks (e.g., PyTorch, HuggingFace)<br /> <br /> ==== Mentors ====<br /> John Pavlopoulos (AUEB), Ion Androutsopoulos (AUEB), Stavros Vassos (helvia.ai), Lefteris Loukas (helvia.ai &amp; AUEB)<br /> <br /> <br /> == Label Buddy 3.0: Automated audio-tagging using transfer learning ==<br /> <br /> ==== Brief Explanation ====<br /> Label Buddy is an open-source audio annotation tool created during GSoC 2021 and extended during GSoC 2022. It aims to make the annotation process easy, and simple with the help of AI Assistance tools and at the same time offers a well-defined manager-annotator-reviewer system. The purpose of this project is to investigate and integrate Multi-Modal Annotation Support in data other than only sound with the use of Large Language Models (LLMs) and Active Learning for Model Improvement on the already existing models.<br /> <br /> ==== Expected Results. ====<br /> 1.) Add OpenAPI support; the ability to upload an OpenApi document and convert it to Flexbench test scenarios (ML can help!) 2.) Anonymization feature for exchanged data in requests and responses (ML can help!) 3.) Aesthetic and UX/UI fixes in desktop app 4.) Fixes to existing bugs 5.) Improve documentation<br /> <br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/eellak/gsoc2022-Label-buddy<br /> <br /> ==== Knowledge Prerequisites ====<br /> Machine Learning (ML) frameworks, Python, Django, VanillaJS, HTML<br /> <br /> ==== Mentors: ====<br /> Pantelis Vikatos, Giannis Prokopiou<br /> <br /> <br /> == Enhancements for Flexbench: OpenAPI Integration and Anonymization using Machine Learning (ML) ==<br /> <br /> ==== Brief Explanation ====<br /> Flexbench is a fully customizable NodeJS application, generating simulated HTTP traffic. It can be used as a standalone script, desktop-app* and server* to simulate traffic with specific characteristics, such as read/write ratio, duration, number of requests to generate, in/out traffic throttling and more.<br /> <br /> It is a forked project from the http-traffic-simulator npm package, which was developed to provide simulated throttled http traffic for stress and load testing purposes, towards specific http endpoints. It utilizes the nodejs cluster module to generate http requests, by spawning multiple workers (balanced over the system cores) in the cluster, responsible to create clients that generate requests. <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt;During the GSoC-2022 period, along with the standalone script version, desktop and server apps were developed, and major fixes were applied.<br /> <br /> ==== Expected Results. ====<br /> 1.) Add OpenAPI support; the ability to upload an OpenApi document and convert it to Flexbench test scenarios (ML can help!) 2.) Anonymization feature for exchanged data in requests and responses (ML can help!) 3.) Aesthetic and UX/UI fixes in desktop app 4.) Fixes to existing bugs 5.) Improve documentation<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> [https://github.com/flexivian/flexbench/tree/develop https://github.com/flexivian/flexbench/tree/develop ,][https://flexivian.github.io/flexbench/ https://flexivian.github.io/flexbench/]<br /> ==== Knowledge Prerequisites ====<br /> <br /> NodeJS, js, typescript, Html, Css, React, Electron, docker, Machine Learning, OpenAPI <br /> <br /> ==== Mentors: ====<br /> <br /> Ioannis Skitsas (iskitsas@gmail.com), Marios Karagiannopoulos (mariosk@gmail.com)<br /> <br /> == New open data sources for Alexandria3k ==<br /> <br /> ==== Brief Explanation ====<br /> The alexandria3k package supplies a library and a command-line tool providing efficient relational query access to diverse publication open data sets. The largest one is the entire Crossref data set (157 GB compressed, 1 TB uncompressed). This contains publication metadata from about 134 million publications from all major international publishers with full citation data for 60 million of them. Alternatively, works can be selected from the PubMed data set which comprises more than 36 million citations for biomedical literature from MEDLINE, life science journals, and online books, with rich domain-specific metadata, such as MeSH indexing, funding, genetic, and chemical details. In addition, the Crossref and PubMed data sets can be linked with the ORCID summary data set (25 GB compressed, 435 GB uncompressed), containing about 78 million author records, the United States Patent Office issued patents (11 GB compressed, 115 GB uncompressed), containing about 5.4 million records, as well as data sets of funder bodies, journal names, open access journals, and research organizations.<br /> <br /> ==== Expected Results. ====<br /> Implementation of four new data sources added to the eight existing ones<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/dspinellis/alexandria3k<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> Python, SQL, Unix command-line <br /> <br /> ==== Mentors: ====<br /> <br /> Diomidis Spinellis<br /> <br /> == MD-Attractor ==<br /> <br /> ==== Brief Explanation ====<br /> MD-Attractor is an open-source project designed to serve as a unified aggregator for music-related data sourced from various music platforms such as Spotify, Deezer, Apple Music, and more.<br /> <br /> The primary objective of this project is to provide a centralized hub for collecting and analyzing data from diverse media sources, offering users a comprehensive view of diverse music data sources.<br /> <br /> ===== Expected Results. =====<br /> 1. An extension of data sources and usage parameters. 2. Metadata artists and song analysis option. 3  Creation of artist's ego-networks and similarity component.<br /> <br /> ==== Duration of the Project ====<br /> Depending on the proposal<br /> <br /> ==== Related repositories ====<br /> https://github.com/sfendourakis/MD-Attractor<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> Python, APIs, Visualization <br /> <br /> ==== Mentors: ====<br /> <br /> Panagiotis Sfendourakis, Elektra Bilali Simou<br /> <br /> <br /> == Exploring and Abstracting Triplestore Alternatives ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to explore, analyze, and abstract various triplestore alternatives. The project aims to provide young programmers with a comprehensive understanding of different back-end alternatives that allow for storing data in triple format, commonly known as triplestores.<br /> <br /> ==== Background ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> <br /> ==== Project Description ====<br /> This project will involve a detailed exploration of various triplestore alternatives. The participants will perform rudimentary tests and benchmarks on these alternatives to understand their performance, scalability, and other key features.<br /> <br /> The ultimate goal is to develop a library that can act as an abstraction layer for these triplestore alternatives. This library will &quot;hide&quot; the underlying implementation, allowing developers to switch between different triplestores without changing their application code. This abstraction layer can be compared to a library abstracting various specific relational database management systems, all providing very similar functionality, like supporting SQL.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Identify and study various triplestore alternatives. Understand their architecture, features, and limitations.<br /> <br /> ''Testing:'' Perform rudimentary tests and benchmarks on the identified triplestore alternatives.<br /> <br /> ''Analysis:'' Analyze the test results to understand the performance and scalability of each alternative.<br /> <br /> ''Development:'' Develop an abstraction layer that can interface with the various triplestore alternatives.<br /> <br /> ''Documentation:'' Document the findings and the usage of the developed library.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a well-documented library that can act as an abstraction layer for various triplestore alternatives. This will provide developers with the flexibility to choose the most suitable triplestore for their specific needs without having to modify their application code.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the understanding of participants about triplestore alternatives but also equip them with the skills to develop an abstraction layer, thereby broadening their programming skills and knowledge.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://en.wikipedia.org/wiki/Triplestore Triplestore]<br /> - [https://en.wikipedia.org/wiki/Semantic_triple Triples]<br /> - [https://en.wikipedia.org/wiki/SPARQL Query language]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python (mandatory). Other programming languages like C, Go, Rust, Java, might prove useful.<br /> <br /> ==== Mentors: ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == Font Validator: A System for Quality Control of Digital Typefaces Containing Greek Characters ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to develop a comprehensive set of tests for quality control on digital typefaces, with a particular focus on Greek characters. The project aims to ensure the consistency of typeface design, especially in terms of height, shape, composites, ascenders, descenders, spacing, and kerning between Latin and Greek characters.<br /> <br /> ==== Background ====<br /> Digital typefaces play a crucial role in the readability and aesthetics of digital content. However, inconsistencies in typeface design, especially between different scripts like Latin and Greek, can lead to visual discomfort and confusion. Quality control in digital typefaces is therefore essential to ensure a consistent and pleasant reading experience.<br /> <br /> ==== Project Description ====<br /> This project will involve the development of a series of tests using Font Bakery or a similar tool. These tests will compare the height and shape of similarly shaped Latin and Greek letters, such as Latin A and Greek Alpha.<br /> <br /> Further tests will be performed on composites, ascenders, descenders, spacing, and kerning between Latin and Greek characters. The goal is to identify any inconsistencies and provide recommendations for improvements.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Study the design principles of Latin and Greek typefaces. Identify the key parameters for comparison, such as height, shape, composites, ascenders, descenders, spacing, and kerning.<br /> <br /> ''Test Development:'' Develop a series of tests using Font Bakery or a similar tool. These tests should be able to compare the identified parameters between Latin and Greek characters.<br /> <br /> ''Testing:'' Perform the developed tests on a variety of digital typefaces.<br /> <br /> ''Analysis:'' Analyze the test results to identify any inconsistencies in the design of Latin and Greek characters.<br /> <br /> ''Recommendations:'' Based on the analysis, provide recommendations for improving the consistency of typeface design.<br /> <br /> ''Documentation:'' Document the findings, the developed tests, and the recommendations.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a comprehensive set of tests for quality control on digital typefaces, especially for Greek characters. These tests will help typeface designers and developers ensure the consistency of their designs, thereby improving the readability and aesthetics of digital content.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the quality of digital typefaces but also contribute to the body of knowledge in the field of typeface design. It will provide valuable insights into the design principles of Latin and Greek characters and help ensure their consistency in digital typefaces.<br /> <br /> ==== Duration of the Project ====<br /> Can be either short (175 hours) or long (350 hours), depending on the agreed-upon scope.<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://font-bakery.readthedocs.io/en/latest/ Font Bakery documentation]<br /> - [https://github.com/fonttools/fontbakery Font Bakery source repo]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python, font technologies, understanding of Greek characters<br /> <br /> ==== Mentors: ====<br /> Irene Vlachou, Emilios Theofanous, Alexios Zavras<br /> <br /> <br /> == Development and Enhancement of the Cloud-Based FOSSBot Platform ==<br /> <br /> ==== Brief Explanation ====<br /> The evolution of the DIY robot kit for educators, initiated in GSoC 2019 with Christos Chronis, has significantly progressed over the years, culminating in a 3D printable, modular, and low-cost educational robot. Over the last five years, contributors from GSOC and the open source community have enriched this project with a programming stack compatible with Google Blockly, native Python through Monaco, and a Docker-based deployment system. At the same time, the initial DIY robot kit from GSOC 2019 transformed into the FOSSBot, and more educators understand and use this open-source solution to teach STEM.<br /> <br /> For GSoC 2023, the focus was on shifting the programming stack to the cloud, addressing issues like connectivity, updates, and the rising costs of Single Board Computers. Another notable addition was the web-based simulator, which allowed educators to test and use the robot virtually, reducing cost barriers and hardware requirements. In the following months, the platform will be available to all through the infrastructure of GFOSS, and at the same time, organized workshops will help make more people aware of the robot. Finally, in the last two years, two scientific publications were released, and the project started to attract the interest of the academic community.<br /> <br /> GSoC 2024 Objectives<br /> <br /> In 2024, our goal is to further enhance this cloud-based platform by:<br /> <br /> Performance Optimization: Improving both front-end and back-end performance for a seamless user experience.<br /> Development of Cooperative Modes: Enabling multiple robots to interact and collaborate in shared tasks or scenarios, fostering teamwork and advanced programming skills.<br /> Educator's Content Creation and Upload System: Developing a system where educators can create, share, and upload educational material, facilitating a dynamic and evolving educational environment.<br /> Custom Scene Creation for Godot Simulator: Integrating an interface for creating new, customized scenes in the existing Godot-based simulator, enabling tailored educational experiences.<br /> Platform Support for Physical Hardware: Introducing programming support for physical devices like the FOSSBot, Arduino, and MicroPython-supported microcontrollers, broadening the scope of practical applications and hands-on learning.<br /> Continuous Integration and Deployment (CI/CD) Enhancements: Streamlining updates and maintenance through advanced GitHub automation and cloud deployment strategies.<br /> Extensive Documentation: Ensuring comprehensive documentation to facilitate ease of use and adaptability for educators and developers.<br /> <br /> ==== Expected Results. ====<br /> A robust, cloud-based platform offering a wide range of educational and programming possibilities.<br /> Enhanced user experience with improved performance and new features.<br /> Greater accessibility and cost-effectiveness for educators worldwide.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> <br /> ==== Related repositories ==== <br /> https://github.com/eellak/gsoc2019-diyrobot<br /> https://github.com/eellak/fossbot<br /> https://github.com/chronis10/fossbot-app<br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot-source<br /> https://github.com/eellak/fossbot-web-simulator<br /> <br /> ==== Knowledge Prerequisites ====<br /> React.js<br /> Python<br /> Flask API / FastAPI<br /> SQLAlchemy<br /> Godot (not mandatory)<br /> JavaScript<br /> Docker<br /> Git<br /> <br /> ==== Related publications ==== <br /> Chronis C., &amp; Varlamis I. (2022). FOSSBot: An Open Source and Open Design Educational Robot. Electronics, 11(16), 2606. https://www.mdpi.com/2079-9292/11/16/2606<br /> Kazazis G., Chronis C., Diou C. &amp; Varlamis I. Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot, Pan-Hellenic Conference on Progress in Computing and Informatics, ACM 2023 (Under Publication) <br /> <br /> <br /> ==== Mentors: ====<br /> Christos Chronis, Iraklis Varlamis<br /> <br /> <br /> <br /> == Enabling Apothesis to support atomic layer deposition and etching processes ==<br /> <br /> ==== Brief Explanation ====<br /> Αpothesis is an open source software for designing, simulating and analyzing deposition processes. It is based on Kinetic Monte Carlo method and its two main components are the lattice (simple cubic, HPC etc) where particular processes (adsorption, desorption, surface rection and diffusion) are performed. Up until now Apothesis has been used in various applications (see for example https://iopscience.iop.org/article/10.1088/1361-651X/ace276/meta). However, there is a lack of generalized software for atomic layer deposition/etching (ALD/ALE) processes. ALD/ALE are based on pulses performing over sequentially over a certain period of time (see https://www.frontiersin.org/articles/10.3389/fphy.2021.631918/full for more details). That said, the purpose of this project is to enable Apothesis to handle ALD/ALE cases. For that, there various parts of Apothesis that need to be changed with the most basic being: <br /> 1. Enabling Apothesis to read the lattice from a file. Thus creating a generalized reader for hard copy lattices. <br /> 2. Creating the sequentially calls to simulate ALD/ALE processes. <br /> 3. Design the output of the ALD/ALE process. <br /> <br /> <br /> ==== Expected Results. ====<br /> The results from a simple case of ALD in a simple cubic lattice. <br /> <br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/nixeimar/Apothesis<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, desing patters (factory pattern) and basic physics in deposition processes <br /> <br /> ==== Mentors: ====<br /> Cheimarios Nikolaos, Vissarion Fysikopoulos <br /> <br /> <br /> <br /> == eCodeOrama, an educational interactive flow visualization tool for mit scratch programs ==<br /> <br /> ==== Brief Explanation ====<br /> The project will create a interactive tool to extract, visualize graphically and edit (to improve the presentation of) the layout of the flow of code in blocks / scripts in a mit scratch program and their interaction with any messages or other external events. The tool will use rules to decide on many layout parameters (e.g. the position of the code blocks in the layout, the colors used, etc) but the user will be able to overwrite the default choices. The presentation will be compatible with the codeOrama code layout specification.<br /> The tool will also promote code understanding, especially to young students that use scratch, and will include debugging aids.<br /> The students can use this flow to better visualize and understand their program, to explain it to others, to debug it and to design extensions and modifications.<br /> <br /> <br /> ==== Expected Results ====<br /> A tool to visualize and edit the layout of the event based script flow of a scratch program, keeping it compatible with the codeOrama code layout specification.<br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> git@github.com:sarantos40/eCodeOrama.git<br /> <br /> ==== Knowledge Prerequisites ====<br /> python, mit scratch, gui development<br /> <br /> ==== Mentors: ====<br /> Sarantos Kapidakis (sarantos.kapidakis@gmail.com), Chrysovalantis Sfyrakis<br /> <br /> <br /> == Enhancement of SmAuto DSL and integration into HomeAssistant ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto is a Domain Specific Language (DSL) that enables users to program complex automation scenarios, for connected IoT devices in smart environments, that go beyond simple tasks. SmAuto lacks extra features like invocation of REST/MQTT services, time delays etc., thus it should be expanded towards this direction. Furthermore, HomeAssistant would benefit from the integration of a DSL like SMAuto for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> ==== Expected Results ====<br /> In the context of this project, we desire to expand the SmAuto DSL with the following features: a) adding virtual entities, like REST calls and MQTT RPCs, so as for the automations to be able to access information from external services, b) incorporate auxiliary concepts like Delay, Conditions/Switches, or Compute nodes and c) generalize the language’s Condition concept. Furthermore, the integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA plugin, where each user can declare SmAuto automations and deploy them locally in HA.<br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/<br /> <br /> ==== Knowledge Prerequisites ====<br /> Required: Python, Software engineering, IoT concepts, Unix/Linux. Desired: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors: ====<br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> == Creating a factory pattern for handling lattices in Apothesis. ==<br /> <br /> ==== Brief Explanation ====<br /> Apothesis is a generalized software for designing, simulating and analyzing deposition processes. It is based on the kinetic Monte Carlo method. That said, it consists of two main components; a lattice (e.g. simple cubic, HPC etc) and the processes (adsorption, desorption, diffusion and surface reactions) performed in this lattice. Currently, the lattices are hard coded inside Apothesis making it difficult to add new ones easily. This proposal is focuses on creating a factory pattern which be used as a guide for adding lattices in Apothesis. Then this will be used to incorporate 2D lattices (like graphene) inside Apothesis.<br /> <br /> ==== Expected Results ====<br /> The factory pattern source code and a simple example for incorporating a graphene lattice. <br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> https://github.com/nixeimar/Apothesis<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, design (factory pattern)<br /> <br /> <br /> ==== Mentors: ====<br /> Nikolaos Cheimarios, Christina-Anna Gatsiou <br /> <br /> <br /> == MyUni ==<br /> <br /> ==== Brief Explanation ====<br /> Currently there is a University App called MyUoM for Greek universities in https://my.uom.gr/ (followed by an effort in University of West Attica, https://iam.uniwa.gr/. This app is official but it lacks features(e.g. login) and a proper backend with an architecture that will allow different implementations for Universities. In this project we want to add a CMS for info that is changing frequently and a backend that fetches realtime info from the official websites. We want to unify those efforts and make it easier for other universities to join.<br /> <br /> <br /> <br /> ==== Expected Results. ====<br /> 1. Create a structure that can be used by different university structures and can be fully customised based on the needs of each institution.<br /> 2. The application should be fully customisable in terms of interface, content and functionality.<br /> 3. The content can be personalized and the home page can display tiles selected by each institution and display content that will be created as a page (wordpress type) <br /> 4. Adding a students portal where all the student's data, personal and any other information will be collected, in order to be used as a reference point.<br /> 5. Add an admin panel from where the appearance and content of the institution's application will be defined.<br /> 6. Create a BackEnd system to manage all the data described above.<br /> 7. Setup a backend that fetches information from official sources and static information(e.g. map images) to make the frontend lighter.<br /> 8. Rewrite in Typescript for maintainability<br /> 9. Creation of a custom CMS (consisting of FrontEnd &amp; BackEnd) for data changing frequently<br /> 10. Create a system where the application is shared across domains by creating an instance.<br /> <br /> <br /> ==== Duration of the Project ====<br /> Depending on the scope<br /> <br /> ==== Related repositories ====<br /> https://github.com/Open-Source-UoM/MyUoM<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • React.js<br /> • Express.js (for BackEnd)<br /> • MySQL (for BackEnd)<br /> • JavaScript<br /> • TypeScript<br /> • Next.js (optional)<br /> <br /> <br /> ==== Mentors: ====<br /> Anastasios Tsalmas tsalmanastasios@gmail.com, Efstathios Iosifidis eiosifidis@gmail.com<br /> <br /> == DIY IoT Physics Experiments for education ==<br /> <br /> ====Brief Explanation====<br /> <br /> Remote physics experiments for students in all the educational levels are the second best to hands on experiments. Especially for students who temporarily cannot attend school or in cases like the Covid-19 and the lockdowns. In many practical cases they are the only alternative, as they are available 24/7, they can involve dangerous materials or conditions, they can be accessed from anywhere and any device, they require less maintenance, have lower cost, can be easily modified, or arranged to perform another experiment, and are less probable to be damaged. They are in line with the modern way of performing experiments, as it is desirable to have as less as possible direct contact with the experiments and use them on-line. Examples include on-line telescopes and electronic microscopes. This is possible due to the automation; data acquisition and manipulation of the experimental data is done using a computer or a microcomputer. In this way students need not take pain stacking notes, especially for experiments that take a lot of time to collect data, sometimes days or months. Students can concentrate on data processing, on the analysis of the results and arrive at scientific valid conclusions. Our laboratory has set up many remote experiments and has experience of more than 10 years in designing, setting, and servicing remote experiments. Our remote experiments are based on Arduino and readily available sensors and actuators. The aim of the present project is to design and implement a way to make the sensors and the actuators to form an IoT local network so that it will be easier to easily utilize them in different experiments and to build new experiments. The IoT sensors and actuators will be DIY and based on open software. The applicant will program the ESP8266 to receive data from the sensor and transmit the data through MQTT to ThingsBoard. Similarly for an actuator the ESP8266 will receive MQTT data from ThingsBoard. The applicant will prepare five DIY IoT sensors and five actuators. ThingsBoard will provide users with the visual representation of the data and the control of the experimental setup through dashboards. The applicant will prepare five dashboards for five corresponding experiments.<br /> <br /> ====Expected Results====<br /> <br /> At the end of the present GSoC project the open source for five IoT DIY sensors and five actuators will be designed and implemented. Also, five Dashboards on the open source IoT platform ThingsBoard for five corresponding experiments will be designed and implemented. A list of the electronic components, instructions for the assembly and documentation for the software will be prepared.<br /> <br /> <br /> ====Duration of the Project====<br /> Medium Size - 175 hours<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/totheworld2004/DIY-Physics-IoT<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> How to program ESP8266, MQTT to transfer and receive data and design and implement Dashboards on a IoT platform<br /> <br /> ====Mentors====<br /> <br /> Hariton Polatoglou and Panagiotis Koustoumpardis<br /> <br /> <br /> == LearniTron ==<br /> <br /> ====Brief Explanation====<br /> <br /> LearniTron is an educational 3D printed mars rover style robot, with AI-Computer vision capabilities, such as: Face detection,<br /> People counting, Hand Tracking, Object Recognition, Traffic Signs Recognition, etc.<br /> Robotic-sensor capabilities, such as: object avoidance and finally NLP capabilities, such as voice commands recognition, chatbot<br /> responses. All data will be uploaded to a web server along side with the chatbot.<br /> People like students can interact with it, reprogram it and experiment, to lean and enhance their knowledge on technologies,<br /> as AI, Computer Vision, Robotics<br /> ====Expected Results====<br /> <br /> By the end of the program,the design of the 3d models of the robot, code some AI programs if not all, and<br /> assemble the robot’s parts and sensors, and finally code the web server to store data. The robot to be able to interact with<br /> people and achieve an amount of autonomy via AI and sensors<br /> <br /> <br /> ====Duration of the Project====<br /> Large Size - 350 hours<br /> <br /> ====Related Repositories====<br /> <br /> <br /> <br /> <br /> ====Knowledge Prerequisites====<br /> The technologies are: Python, OpenCV, Tensorflow, Keras, C, Arduino, Raspberry<br /> <br /> Pi, Flask, HTML5, CSS3, JS<br /> <br /> ====Mentors====<br /> <br /> Kostas Papadimas and Alexandros Melidis<br /> [[Κατηγορία:GSOC2024]]<br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2024_proposed_ideas&diff=2283 2024-03-20T07:37:48Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == EDGAR-CRAWLER: Democratizing accessibility to Financial NLP documents ==<br /> <br /> ==== Brief Explanation ====<br /> Natural Language Processing (NLP) faces big challenges in the field of business and finance since financial text data is often locked behind paywalls, making it hard to get the information we need. This problem highlights why it is so important to automate data collection from free sources, like EDGAR, the U.S. Securities and Exchange Commission's public database. EDGAR contains documents about publicly traded stocks from companies in the U.S., like Microsoft, Google, or Amazon. Our existing software, EDGAR-CRAWLER, tackles this problem by automatically downloading and “cleaning” financial documents, mainly through the use of regular expressions, and then making such data available in an easy-to-use JSON format for NLP pipelines and applications. EDGAR-CRAWLER, with over 190 stars on Github, is the go-to toolkit for making financial data accessible to everyone. However, currently, it is only limited to one type of company filing, the annual reports (10-K filings). By adding support for more types of documents, EDGAR-CRAWLER plans to make financial information even more accessible, playing a vital role in the progress of financial NLP and open data.<br /> <br /> ==== Expected Results. ====<br /> • Extend EDGAR-CRAWLER to fetch more types of US company filings like quarterly reports (10-Q) and current reports (8-K), using string-searching algorithms like regular expressions. • Write documentation for these new features. • Develop unit tests for these new features.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/nlpaueb/edgar-crawler/<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • Proficiency in Python and Software Development • Familiarity with regular expressions and Natural Language Processing (NLP) • Experience in web scraping and data processing (beautifulsoup, pandas). • Interest in Machine Learning (ML) <br /> <br /> ==== Mentors: ====<br /> <br /> Lefteris Loukas, Ion Androutsopoulos<br /> <br /> <br /> == GlossAPI ==<br /> <br /> ====Brief Explanation====<br /> <br /> GlossAPI is an open source project seeking to develop a standard open access corpus of the Greek language, and benchmark it against existing and to-be-developed language models, with the objective of providing an upstream service to the Greek tech community.<br /> The project is named after a portmandeau of the Greek word for &quot;language&quot; and &quot;API&quot; which creates a visual resemblance to the word Glossary in Greek.<br /> This is to express our objective to provide an index of the Greek language via flexible programing interfaces.<br /> <br /> Greek is a language that is under-represented in existing LLMs, while it has a complex history, grammar and writing system. Our trials with existing models have shown lack of syntactic and semantic knowledge of advanced Greek and its nuances, and we have put forth a number of analyses showing that this poses a risk for digital divides, language extinction, and subpar experience for users of public services.<br /> <br /> To our knowledge other LLM projects that tackle the problem of the Greek language are either proprietary, closed code, narrow scope, or otherwise unfit for our purpose which is to provide publicly available, fully open source language models with respect to all code/weights/procedures/data.<br /> We reach out and bring together people that have the expertise, the passion, the collections, or the hardware, to take part in this endeavor, that will help the Greek stratup/tech scene catch up with the rapid developments in downstream applications that are now common place for developers of English language generative models. <br /> <br /> <br /> ====Expected Results====<br /> <br /> The project will result to an Open Source Corpus, representative of the Greek language and its different varieties. At first emphasis will be given to the formal varieties used in government, education and the law. Additionally, we want to represent, in a subsequent training stage, a number of basic knowledge domains to an &quot;undergraduate degree&quot; level. The datasets will be versioned and benchmarked against different models and tokenizers. We also need to develop a sufficient set of evaluation tasks (such as Factual QA - Greek). Finally a couple of foundation models of different architectures will be fitted onto the dataset and the evaluation suite, and published to the community under an open source licence. With these moves we expect to pollinate the Greek tech ecosystem with reliable, inexpensive, and extensible models and datasets, that will help the Greek Open Source AI scence thrive. All data and models will be accompanied by thorough documentation and guides, to ensure replicability and reusability of the results.<br /> <br /> <br /> ====Duration of the Project====<br /> <br /> 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/glossAPI/<br /> https://github.com/eellak/glossAPI/wiki<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Corpus Annotation for Language Models<br /> Quantitative Corpus Linguistics or Natural Language Processing<br /> Python with transformers library, sci-kit learn, numpy, pandas and streamlit, langchain or similar<br /> Mathematical statistics or similar discipline<br /> Django knowledge is good to have<br /> <br /> ====Mentors====<br /> <br /> N. Giallousi, A. Melidis, Greek Free Open Source Software/Hardware Alliance<br /> <br /> <br /> <br /> == Greeklish-to-Greek: Development of an open-source and state-of-the-art toolkit ==<br /> <br /> ==== Brief Explanation ====<br /> Greeklish” is a way of writing Greek with the commonly used Latin alphabet instead of the Greek alphabet (think of “kalimera” instead of “καλημέρα”), and has been widely used by Greek speakers for decades due to early technological limitations in supporting Greek characters. Its ease of use for informal digital communication, such as on forums or in comments, allows for quick language switching without changing any keyboard input, and hides spelling errors. However, Greeklish complicates the development of Natural Language Processing (NLP) tools for the Greek language because Machine Learning (ML) models are trained on standard Greek, not Greeklish. Most existing Greeklish-to-Greek toolkits are limited, rule-based, and closed-source. Our team has researched and developed state-of-the-art Greeklish-to-Greek methods utilizing Transformer NLP models. The purpose of the project is to develop an open-source, user-friendly Python toolkit, based on our existing research so that the community can benefit from it.<br /> The GSOC contributor will work in close collaboration between helvia.ai (https://helvia.ai/) and the AUEB NLP Group (http://nlp.cs.aueb.gr/software.html), leveraging both industrial and academic expertise to tackle these NLP challenges.<br /> <br /> ==== Expected Results ====<br /> • Development of a user-friendly Python wrapper based on our best Greeklish-to-Greek NLP model  • Documentation and unit testing of the library • Development of new methods for Greeklish-to-Greek conversion, utilizing more recent and promising Large Language Models (LLMs), such as Meta’s LLaMA2 or Mistral models<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> While the proposed Greeklish toolkit can be developed independently, it could also be integrated as an extra functionality to the mentors’ affiliated current state-of-the-art Greek NLP toolkit: &lt;nowiki&gt;https://github.com/nlpaueb/gr-nlp-toolkit&lt;/nowiki&gt;<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • Advanced Python Programming and Software Engineering • Deep Learning for NLP and familiarity with related frameworks (e.g., PyTorch, HuggingFace)<br /> <br /> ==== Mentors: ====<br /> John Pavlopoulos (AUEB), Ion Androutsopoulos (AUEB), Stavros Vassos (helvia.ai), Lefteris Loukas (helvia.ai &amp; AUEB)<br /> <br /> <br /> == Label Buddy 3.0: Automated audio-tagging using transfer learning ==<br /> <br /> ==== Brief Explanation ====<br /> Label Buddy is an open-source audio annotation tool created during GSoC 2021 and extended during GSoC 2022. It aims to make the annotation process easy, and simple with the help of AI Assistance tools and at the same time offers a well-defined manager-annotator-reviewer system. The purpose of this project is to investigate and integrate Multi-Modal Annotation Support in data other than only sound with the use of Large Language Models (LLMs) and Active Learning for Model Improvement on the already existing models.<br /> <br /> ==== Expected Results. ====<br /> 1.) Add OpenAPI support; the ability to upload an OpenApi document and convert it to Flexbench test scenarios (ML can help!) 2.) Anonymization feature for exchanged data in requests and responses (ML can help!) 3.) Aesthetic and UX/UI fixes in desktop app 4.) Fixes to existing bugs 5.) Improve documentation<br /> <br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/eellak/gsoc2022-Label-buddy<br /> <br /> ==== Knowledge Prerequisites ====<br /> Machine Learning (ML) frameworks, Python, Django, VanillaJS, HTML<br /> <br /> ==== Mentors: ====<br /> Pantelis Vikatos, Giannis Prokopiou<br /> <br /> <br /> == Enhancements for Flexbench: OpenAPI Integration and Anonymization using Machine Learning (ML) ==<br /> <br /> ==== Brief Explanation ====<br /> Flexbench is a fully customizable NodeJS application, generating simulated HTTP traffic. It can be used as a standalone script, desktop-app* and server* to simulate traffic with specific characteristics, such as read/write ratio, duration, number of requests to generate, in/out traffic throttling and more.<br /> <br /> It is a forked project from the http-traffic-simulator npm package, which was developed to provide simulated throttled http traffic for stress and load testing purposes, towards specific http endpoints. It utilizes the nodejs cluster module to generate http requests, by spawning multiple workers (balanced over the system cores) in the cluster, responsible to create clients that generate requests. <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt;During the GSoC-2022 period, along with the standalone script version, desktop and server apps were developed, and major fixes were applied.<br /> <br /> ==== Expected Results. ====<br /> 1.) Add OpenAPI support; the ability to upload an OpenApi document and convert it to Flexbench test scenarios (ML can help!) 2.) Anonymization feature for exchanged data in requests and responses (ML can help!) 3.) Aesthetic and UX/UI fixes in desktop app 4.) Fixes to existing bugs 5.) Improve documentation<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> [https://github.com/flexivian/flexbench/tree/develop https://github.com/flexivian/flexbench/tree/develop ,][https://flexivian.github.io/flexbench/ https://flexivian.github.io/flexbench/]<br /> ==== Knowledge Prerequisites ====<br /> <br /> NodeJS, js, typescript, Html, Css, React, Electron, docker, Machine Learning, OpenAPI <br /> <br /> ==== Mentors: ====<br /> <br /> Ioannis Skitsas (iskitsas@gmail.com), Marios Karagiannopoulos (mariosk@gmail.com)<br /> <br /> == New open data sources for Alexandria3k ==<br /> <br /> ==== Brief Explanation ====<br /> The alexandria3k package supplies a library and a command-line tool providing efficient relational query access to diverse publication open data sets. The largest one is the entire Crossref data set (157 GB compressed, 1 TB uncompressed). This contains publication metadata from about 134 million publications from all major international publishers with full citation data for 60 million of them. Alternatively, works can be selected from the PubMed data set which comprises more than 36 million citations for biomedical literature from MEDLINE, life science journals, and online books, with rich domain-specific metadata, such as MeSH indexing, funding, genetic, and chemical details. In addition, the Crossref and PubMed data sets can be linked with the ORCID summary data set (25 GB compressed, 435 GB uncompressed), containing about 78 million author records, the United States Patent Office issued patents (11 GB compressed, 115 GB uncompressed), containing about 5.4 million records, as well as data sets of funder bodies, journal names, open access journals, and research organizations.<br /> <br /> ==== Expected Results. ====<br /> Implementation of four new data sources added to the eight existing ones<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/dspinellis/alexandria3k<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> Python, SQL, Unix command-line <br /> <br /> ==== Mentors: ====<br /> <br /> Diomidis Spinellis<br /> <br /> == MD-Attractor ==<br /> <br /> ==== Brief Explanation ====<br /> MD-Attractor is an open-source project designed to serve as a unified aggregator for music-related data sourced from various music platforms such as Spotify, Deezer, Apple Music, and more.<br /> <br /> The primary objective of this project is to provide a centralized hub for collecting and analyzing data from diverse media sources, offering users a comprehensive view of diverse music data sources.<br /> <br /> ===== Expected Results. =====<br /> 1. An extension of data sources and usage parameters. 2. Metadata artists and song analysis option. 3  Creation of artist's ego-networks and similarity component.<br /> <br /> ==== Duration of the Project ====<br /> Depending on the proposal<br /> <br /> ==== Related repositories ====<br /> https://github.com/sfendourakis/MD-Attractor<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> Python, APIs, Visualization <br /> <br /> ==== Mentors: ====<br /> <br /> Panagiotis Sfendourakis, Elektra Bilali Simou<br /> <br /> <br /> == Exploring and Abstracting Triplestore Alternatives ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to explore, analyze, and abstract various triplestore alternatives. The project aims to provide young programmers with a comprehensive understanding of different back-end alternatives that allow for storing data in triple format, commonly known as triplestores.<br /> <br /> ==== Background ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> <br /> ==== Project Description ====<br /> This project will involve a detailed exploration of various triplestore alternatives. The participants will perform rudimentary tests and benchmarks on these alternatives to understand their performance, scalability, and other key features.<br /> <br /> The ultimate goal is to develop a library that can act as an abstraction layer for these triplestore alternatives. This library will &quot;hide&quot; the underlying implementation, allowing developers to switch between different triplestores without changing their application code. This abstraction layer can be compared to a library abstracting various specific relational database management systems, all providing very similar functionality, like supporting SQL.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Identify and study various triplestore alternatives. Understand their architecture, features, and limitations.<br /> <br /> ''Testing:'' Perform rudimentary tests and benchmarks on the identified triplestore alternatives.<br /> <br /> ''Analysis:'' Analyze the test results to understand the performance and scalability of each alternative.<br /> <br /> ''Development:'' Develop an abstraction layer that can interface with the various triplestore alternatives.<br /> <br /> ''Documentation:'' Document the findings and the usage of the developed library.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a well-documented library that can act as an abstraction layer for various triplestore alternatives. This will provide developers with the flexibility to choose the most suitable triplestore for their specific needs without having to modify their application code.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the understanding of participants about triplestore alternatives but also equip them with the skills to develop an abstraction layer, thereby broadening their programming skills and knowledge.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://en.wikipedia.org/wiki/Triplestore Triplestore]<br /> - [https://en.wikipedia.org/wiki/Semantic_triple Triples]<br /> - [https://en.wikipedia.org/wiki/SPARQL Query language]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python (mandatory). Other programming languages like C, Go, Rust, Java, might prove useful.<br /> <br /> ==== Mentors: ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == Font Validator: A System for Quality Control of Digital Typefaces Containing Greek Characters ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to develop a comprehensive set of tests for quality control on digital typefaces, with a particular focus on Greek characters. The project aims to ensure the consistency of typeface design, especially in terms of height, shape, composites, ascenders, descenders, spacing, and kerning between Latin and Greek characters.<br /> <br /> ==== Background ====<br /> Digital typefaces play a crucial role in the readability and aesthetics of digital content. However, inconsistencies in typeface design, especially between different scripts like Latin and Greek, can lead to visual discomfort and confusion. Quality control in digital typefaces is therefore essential to ensure a consistent and pleasant reading experience.<br /> <br /> ==== Project Description ====<br /> This project will involve the development of a series of tests using Font Bakery or a similar tool. These tests will compare the height and shape of similarly shaped Latin and Greek letters, such as Latin A and Greek Alpha.<br /> <br /> Further tests will be performed on composites, ascenders, descenders, spacing, and kerning between Latin and Greek characters. The goal is to identify any inconsistencies and provide recommendations for improvements.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Study the design principles of Latin and Greek typefaces. Identify the key parameters for comparison, such as height, shape, composites, ascenders, descenders, spacing, and kerning.<br /> <br /> ''Test Development:'' Develop a series of tests using Font Bakery or a similar tool. These tests should be able to compare the identified parameters between Latin and Greek characters.<br /> <br /> ''Testing:'' Perform the developed tests on a variety of digital typefaces.<br /> <br /> ''Analysis:'' Analyze the test results to identify any inconsistencies in the design of Latin and Greek characters.<br /> <br /> ''Recommendations:'' Based on the analysis, provide recommendations for improving the consistency of typeface design.<br /> <br /> ''Documentation:'' Document the findings, the developed tests, and the recommendations.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a comprehensive set of tests for quality control on digital typefaces, especially for Greek characters. These tests will help typeface designers and developers ensure the consistency of their designs, thereby improving the readability and aesthetics of digital content.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the quality of digital typefaces but also contribute to the body of knowledge in the field of typeface design. It will provide valuable insights into the design principles of Latin and Greek characters and help ensure their consistency in digital typefaces.<br /> <br /> ==== Duration of the Project ====<br /> Can be either short (175 hours) or long (350 hours), depending on the agreed-upon scope.<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://font-bakery.readthedocs.io/en/latest/ Font Bakery documentation]<br /> - [https://github.com/fonttools/fontbakery Font Bakery source repo]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python, font technologies, understanding of Greek characters<br /> <br /> ==== Mentors: ====<br /> Irene Vlachou, Emilios Theofanous, Alexios Zavras<br /> <br /> <br /> == Development and Enhancement of the Cloud-Based FOSSBot Platform ==<br /> <br /> ==== Brief Explanation ====<br /> The evolution of the DIY robot kit for educators, initiated in GSoC 2019 with Christos Chronis, has significantly progressed over the years, culminating in a 3D printable, modular, and low-cost educational robot. Over the last five years, contributors from GSOC and the open source community have enriched this project with a programming stack compatible with Google Blockly, native Python through Monaco, and a Docker-based deployment system. At the same time, the initial DIY robot kit from GSOC 2019 transformed into the FOSSBot, and more educators understand and use this open-source solution to teach STEM.<br /> <br /> For GSoC 2023, the focus was on shifting the programming stack to the cloud, addressing issues like connectivity, updates, and the rising costs of Single Board Computers. Another notable addition was the web-based simulator, which allowed educators to test and use the robot virtually, reducing cost barriers and hardware requirements. In the following months, the platform will be available to all through the infrastructure of GFOSS, and at the same time, organized workshops will help make more people aware of the robot. Finally, in the last two years, two scientific publications were released, and the project started to attract the interest of the academic community.<br /> <br /> GSoC 2024 Objectives<br /> <br /> In 2024, our goal is to further enhance this cloud-based platform by:<br /> <br /> Performance Optimization: Improving both front-end and back-end performance for a seamless user experience.<br /> Development of Cooperative Modes: Enabling multiple robots to interact and collaborate in shared tasks or scenarios, fostering teamwork and advanced programming skills.<br /> Educator's Content Creation and Upload System: Developing a system where educators can create, share, and upload educational material, facilitating a dynamic and evolving educational environment.<br /> Custom Scene Creation for Godot Simulator: Integrating an interface for creating new, customized scenes in the existing Godot-based simulator, enabling tailored educational experiences.<br /> Platform Support for Physical Hardware: Introducing programming support for physical devices like the FOSSBot, Arduino, and MicroPython-supported microcontrollers, broadening the scope of practical applications and hands-on learning.<br /> Continuous Integration and Deployment (CI/CD) Enhancements: Streamlining updates and maintenance through advanced GitHub automation and cloud deployment strategies.<br /> Extensive Documentation: Ensuring comprehensive documentation to facilitate ease of use and adaptability for educators and developers.<br /> <br /> ==== Expected Results. ====<br /> A robust, cloud-based platform offering a wide range of educational and programming possibilities.<br /> Enhanced user experience with improved performance and new features.<br /> Greater accessibility and cost-effectiveness for educators worldwide.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> <br /> ==== Related repositories ==== <br /> https://github.com/eellak/gsoc2019-diyrobot<br /> https://github.com/eellak/fossbot<br /> https://github.com/chronis10/fossbot-app<br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot-source<br /> https://github.com/eellak/fossbot-web-simulator<br /> <br /> ==== Knowledge Prerequisites ====<br /> React.js<br /> Python<br /> Flask API / FastAPI<br /> SQLAlchemy<br /> Godot (not mandatory)<br /> JavaScript<br /> Docker<br /> Git<br /> <br /> ==== Related publications ==== <br /> Chronis C., &amp; Varlamis I. (2022). FOSSBot: An Open Source and Open Design Educational Robot. Electronics, 11(16), 2606. https://www.mdpi.com/2079-9292/11/16/2606<br /> Kazazis G., Chronis C., Diou C. &amp; Varlamis I. Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot, Pan-Hellenic Conference on Progress in Computing and Informatics, ACM 2023 (Under Publication) <br /> <br /> <br /> ==== Mentors: ====<br /> Christos Chronis, Iraklis Varlamis<br /> <br /> <br /> <br /> == Enabling Apothesis to support atomic layer deposition and etching processes ==<br /> <br /> ==== Brief Explanation ====<br /> Αpothesis is an open source software for designing, simulating and analyzing deposition processes. It is based on Kinetic Monte Carlo method and its two main components are the lattice (simple cubic, HPC etc) where particular processes (adsorption, desorption, surface rection and diffusion) are performed. Up until now Apothesis has been used in various applications (see for example https://iopscience.iop.org/article/10.1088/1361-651X/ace276/meta). However, there is a lack of generalized software for atomic layer deposition/etching (ALD/ALE) processes. ALD/ALE are based on pulses performing over sequentially over a certain period of time (see https://www.frontiersin.org/articles/10.3389/fphy.2021.631918/full for more details). That said, the purpose of this project is to enable Apothesis to handle ALD/ALE cases. For that, there various parts of Apothesis that need to be changed with the most basic being: <br /> 1. Enabling Apothesis to read the lattice from a file. Thus creating a generalized reader for hard copy lattices. <br /> 2. Creating the sequentially calls to simulate ALD/ALE processes. <br /> 3. Design the output of the ALD/ALE process. <br /> <br /> <br /> ==== Expected Results. ====<br /> The results from a simple case of ALD in a simple cubic lattice. <br /> <br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/nixeimar/Apothesis<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, desing patters (factory pattern) and basic physics in deposition processes <br /> <br /> ==== Mentors: ====<br /> Cheimarios Nikolaos, Vissarion Fysikopoulos <br /> <br /> <br /> <br /> == eCodeOrama, an educational interactive flow visualization tool for mit scratch programs ==<br /> <br /> ==== Brief Explanation ====<br /> The project will create a interactive tool to extract, visualize graphically and edit (to improve the presentation of) the layout of the flow of code in blocks / scripts in a mit scratch program and their interaction with any messages or other external events. The tool will use rules to decide on many layout parameters (e.g. the position of the code blocks in the layout, the colors used, etc) but the user will be able to overwrite the default choices. The presentation will be compatible with the codeOrama code layout specification.<br /> The tool will also promote code understanding, especially to young students that use scratch, and will include debugging aids.<br /> The students can use this flow to better visualize and understand their program, to explain it to others, to debug it and to design extensions and modifications.<br /> <br /> <br /> ==== Expected Results ====<br /> A tool to visualize and edit the layout of the event based script flow of a scratch program, keeping it compatible with the codeOrama code layout specification.<br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> git@github.com:sarantos40/eCodeOrama.git<br /> <br /> ==== Knowledge Prerequisites ====<br /> python, mit scratch, gui development<br /> <br /> ==== Mentors: ====<br /> Sarantos Kapidakis (sarantos.kapidakis@gmail.com), Chrysovalantis Sfyrakis<br /> <br /> <br /> == Enhancement of SmAuto DSL and integration into HomeAssistant ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto is a Domain Specific Language (DSL) that enables users to program complex automation scenarios, for connected IoT devices in smart environments, that go beyond simple tasks. SmAuto lacks extra features like invocation of REST/MQTT services, time delays etc., thus it should be expanded towards this direction. Furthermore, HomeAssistant would benefit from the integration of a DSL like SMAuto for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> ==== Expected Results ====<br /> In the context of this project, we desire to expand the SmAuto DSL with the following features: a) adding virtual entities, like REST calls and MQTT RPCs, so as for the automations to be able to access information from external services, b) incorporate auxiliary concepts like Delay, Conditions/Switches, or Compute nodes and c) generalize the language’s Condition concept. Furthermore, the integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA plugin, where each user can declare SmAuto automations and deploy them locally in HA.<br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/<br /> <br /> ==== Knowledge Prerequisites ====<br /> Required: Python, Software engineering, IoT concepts, Unix/Linux. Desired: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors: ====<br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> == Creating a factory pattern for handling lattices in Apothesis. ==<br /> <br /> ==== Brief Explanation ====<br /> Apothesis is a generalized software for designing, simulating and analyzing deposition processes. It is based on the kinetic Monte Carlo method. That said, it consists of two main components; a lattice (e.g. simple cubic, HPC etc) and the processes (adsorption, desorption, diffusion and surface reactions) performed in this lattice. Currently, the lattices are hard coded inside Apothesis making it difficult to add new ones easily. This proposal is focuses on creating a factory pattern which be used as a guide for adding lattices in Apothesis. Then this will be used to incorporate 2D lattices (like graphene) inside Apothesis.<br /> <br /> ==== Expected Results ====<br /> The factory pattern source code and a simple example for incorporating a graphene lattice. <br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> https://github.com/nixeimar/Apothesis<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, design (factory pattern)<br /> <br /> <br /> ==== Mentors: ====<br /> Nikolaos Cheimarios, Christina-Anna Gatsiou <br /> <br /> <br /> == MyUni ==<br /> <br /> ==== Brief Explanation ====<br /> Currently there is a University App called MyUoM for Greek universities in https://my.uom.gr/ (followed by an effort in University of West Attica, https://iam.uniwa.gr/. This app is official but it lacks features(e.g. login) and a proper backend with an architecture that will allow different implementations for Universities. In this project we want to add a CMS for info that is changing frequently and a backend that fetches realtime info from the official websites. We want to unify those efforts and make it easier for other universities to join.<br /> <br /> <br /> <br /> ==== Expected Results. ====<br /> 1. Create a structure that can be used by different university structures and can be fully customised based on the needs of each institution.<br /> 2. The application should be fully customisable in terms of interface, content and functionality.<br /> 3. The content can be personalized and the home page can display tiles selected by each institution and display content that will be created as a page (wordpress type) <br /> 4. Adding a students portal where all the student's data, personal and any other information will be collected, in order to be used as a reference point.<br /> 5. Add an admin panel from where the appearance and content of the institution's application will be defined.<br /> 6. Create a BackEnd system to manage all the data described above.<br /> 7. Setup a backend that fetches information from official sources and static information(e.g. map images) to make the frontend lighter.<br /> 8. Rewrite in Typescript for maintainability<br /> 9. Creation of a custom CMS (consisting of FrontEnd &amp; BackEnd) for data changing frequently<br /> 10. Create a system where the application is shared across domains by creating an instance.<br /> <br /> <br /> ==== Duration of the Project ====<br /> Depending on the scope<br /> <br /> ==== Related repositories ====<br /> https://github.com/Open-Source-UoM/MyUoM<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • React.js<br /> • Express.js (for BackEnd)<br /> • MySQL (for BackEnd)<br /> • JavaScript<br /> • TypeScript<br /> • Next.js (optional)<br /> <br /> <br /> ==== Mentors: ====<br /> Anastasios Tsalmas tsalmanastasios@gmail.com, Efstathios Iosifidis eiosifidis@gmail.com<br /> <br /> == DIY IoT Physics Experiments for education ==<br /> <br /> ====Brief Explanation====<br /> <br /> Remote physics experiments for students in all the educational levels are the second best to hands on experiments. Especially for students who temporarily cannot attend school or in cases like the Covid-19 and the lockdowns. In many practical cases they are the only alternative, as they are available 24/7, they can involve dangerous materials or conditions, they can be accessed from anywhere and any device, they require less maintenance, have lower cost, can be easily modified, or arranged to perform another experiment, and are less probable to be damaged. They are in line with the modern way of performing experiments, as it is desirable to have as less as possible direct contact with the experiments and use them on-line. Examples include on-line telescopes and electronic microscopes. This is possible due to the automation; data acquisition and manipulation of the experimental data is done using a computer or a microcomputer. In this way students need not take pain stacking notes, especially for experiments that take a lot of time to collect data, sometimes days or months. Students can concentrate on data processing, on the analysis of the results and arrive at scientific valid conclusions. Our laboratory has set up many remote experiments and has experience of more than 10 years in designing, setting, and servicing remote experiments. Our remote experiments are based on Arduino and readily available sensors and actuators. The aim of the present project is to design and implement a way to make the sensors and the actuators to form an IoT local network so that it will be easier to easily utilize them in different experiments and to build new experiments. The IoT sensors and actuators will be DIY and based on open software. The applicant will program the ESP8266 to receive data from the sensor and transmit the data through MQTT to ThingsBoard. Similarly for an actuator the ESP8266 will receive MQTT data from ThingsBoard. The applicant will prepare five DIY IoT sensors and five actuators. ThingsBoard will provide users with the visual representation of the data and the control of the experimental setup through dashboards. The applicant will prepare five dashboards for five corresponding experiments.<br /> <br /> ====Expected Results====<br /> <br /> At the end of the present GSoC project the open source for five IoT DIY sensors and five actuators will be designed and implemented. Also, five Dashboards on the open source IoT platform ThingsBoard for five corresponding experiments will be designed and implemented. A list of the electronic components, instructions for the assembly and documentation for the software will be prepared.<br /> <br /> <br /> ====Duration of the Project====<br /> Medium Size - 175 hours<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/totheworld2004/DIY-Physics-IoT<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> How to program ESP8266, MQTT to transfer and receive data and design and implement Dashboards on a IoT platform<br /> <br /> ====Mentors====<br /> <br /> Hariton Polatoglou and Panagiotis Koustoumpardis<br /> <br /> <br /> [[Κατηγορία:GSOC2024]]<br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2024_proposed_ideas&diff=2282 2024-02-27T17:22:43Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == EDGAR-CRAWLER: Democratizing accessibility to Financial NLP documents ==<br /> <br /> ==== Brief Explanation ====<br /> Natural Language Processing (NLP) faces big challenges in the field of business and finance since financial text data is often locked behind paywalls, making it hard to get the information we need. This problem highlights why it is so important to automate data collection from free sources, like EDGAR, the U.S. Securities and Exchange Commission's public database. EDGAR contains documents about publicly traded stocks from companies in the U.S., like Microsoft, Google, or Amazon. Our existing software, EDGAR-CRAWLER, tackles this problem by automatically downloading and “cleaning” financial documents, mainly through the use of regular expressions, and then making such data available in an easy-to-use JSON format for NLP pipelines and applications. EDGAR-CRAWLER, with over 190 stars on Github, is the go-to toolkit for making financial data accessible to everyone. However, currently, it is only limited to one type of company filing, the annual reports (10-K filings). By adding support for more types of documents, EDGAR-CRAWLER plans to make financial information even more accessible, playing a vital role in the progress of financial NLP and open data.<br /> <br /> ==== Expected Results. ====<br /> • Extend EDGAR-CRAWLER to fetch more types of US company filings like quarterly reports (10-Q) and current reports (8-K), using string-searching algorithms like regular expressions. • Write documentation for these new features. • Develop unit tests for these new features.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/nlpaueb/edgar-crawler/<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • Proficiency in Python and Software Development • Familiarity with regular expressions and Natural Language Processing (NLP) • Experience in web scraping and data processing (beautifulsoup, pandas). • Interest in Machine Learning (ML) <br /> <br /> ==== Mentors: ====<br /> <br /> Lefteris Loukas, Ion Androutsopoulos<br /> <br /> <br /> == GlossAPI ==<br /> <br /> ====Brief Explanation====<br /> <br /> GlossAPI is an open source project seeking to develop a standard open access corpus of the Greek language, and benchmark it against existing and to-be-developed language models, with the objective of providing an upstream service to the Greek tech community.<br /> The project is named after a portmandeau of the Greek word for &quot;language&quot; and &quot;API&quot; which creates a visual resemblance to the word Glossary in Greek.<br /> This is to express our objective to provide an index of the Greek language via flexible programing interfaces.<br /> <br /> Greek is a language that is under-represented in existing LLMs, while it has a complex history, grammar and writing system. Our trials with existing models have shown lack of syntactic and semantic knowledge of advanced Greek and its nuances, and we have put forth a number of analyses showing that this poses a risk for digital divides, language extinction, and subpar experience for users of public services.<br /> <br /> To our knowledge other LLM projects that tackle the problem of the Greek language are either proprietary, closed code, narrow scope, or otherwise unfit for our purpose which is to provide publicly available, fully open source language models with respect to all code/weights/procedures/data.<br /> We reach out and bring together people that have the expertise, the passion, the collections, or the hardware, to take part in this endeavor, that will help the Greek stratup/tech scene catch up with the rapid developments in downstream applications that are now common place for developers of English language generative models. <br /> <br /> <br /> ====Expected Results====<br /> <br /> The project will result to an Open Source Corpus, representative of the Greek language and its different varieties. At first emphasis will be given to the formal varieties used in government, education and the law. Additionally, we want to represent, in a subsequent training stage, a number of basic knowledge domains to an &quot;undergraduate degree&quot; level. The datasets will be versioned and benchmarked against different models and tokenizers. We also need to develop a sufficient set of evaluation tasks (such as Factual QA - Greek). Finally a couple of foundation models of different architectures will be fitted onto the dataset and the evaluation suite, and published to the community under an open source licence. With these moves we expect to pollinate the Greek tech ecosystem with reliable, inexpensive, and extensible models and datasets, that will help the Greek Open Source AI scence thrive. All data and models will be accompanied by thorough documentation and guides, to ensure replicability and reusability of the results.<br /> <br /> <br /> ====Duration of the Project====<br /> <br /> 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/glossAPI/<br /> https://github.com/eellak/glossAPI/wiki<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Corpus Annotation for Language Models<br /> Quantitative Corpus Linguistics or Natural Language Processing<br /> Python with transformers library, sci-kit learn, numpy, pandas and streamlit, langchain or similar<br /> Mathematical statistics or similar discipline<br /> Django knowledge is good to have<br /> <br /> ====Mentors====<br /> <br /> N. Giallousi, A. Melidis, Greek Free Open Source Software/Hardware Alliance<br /> <br /> <br /> <br /> == Greeklish-to-Greek: Development of an open-source and state-of-the-art toolkit ==<br /> <br /> ==== Brief Explanation ====<br /> Greeklish” is a way of writing Greek with the commonly used Latin alphabet instead of the Greek alphabet (think of “kalimera” instead of “καλημέρα”), and has been widely used by Greek speakers for decades due to early technological limitations in supporting Greek characters. Its ease of use for informal digital communication, such as on forums or in comments, allows for quick language switching without changing any keyboard input, and hides spelling errors. However, Greeklish complicates the development of Natural Language Processing (NLP) tools for the Greek language because Machine Learning (ML) models are trained on standard Greek, not Greeklish. Most existing Greeklish-to-Greek toolkits are limited, rule-based, and closed-source. Our team has researched and developed state-of-the-art Greeklish-to-Greek methods utilizing Transformer NLP models. The purpose of the project is to develop an open-source, user-friendly Python toolkit, based on our existing research so that the community can benefit from it.<br /> The GSOC contributor will work in close collaboration between helvia.ai (https://helvia.ai/) and the AUEB NLP Group (http://nlp.cs.aueb.gr/software.html), leveraging both industrial and academic expertise to tackle these NLP challenges.<br /> <br /> ==== Expected Results ====<br /> • Development of a user-friendly Python wrapper based on our best Greeklish-to-Greek NLP model  • Documentation and unit testing of the library • Development of new methods for Greeklish-to-Greek conversion, utilizing more recent and promising Large Language Models (LLMs), such as Meta’s LLaMA2 or Mistral models<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> While the proposed Greeklish toolkit can be developed independently, it could also be integrated as an extra functionality to the mentors’ affiliated current state-of-the-art Greek NLP toolkit: &lt;nowiki&gt;https://github.com/nlpaueb/gr-nlp-toolkit&lt;/nowiki&gt;<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • Advanced Python Programming and Software Engineering • Deep Learning for NLP and familiarity with related frameworks (e.g., PyTorch, HuggingFace)<br /> <br /> ==== Mentors: ====<br /> John Pavlopoulos (AUEB), Ion Androutsopoulos (AUEB), Stavros Vassos (helvia.ai), Lefteris Loukas (helvia.ai &amp; AUEB)<br /> <br /> <br /> == Label Buddy 3.0: Automated audio-tagging using transfer learning ==<br /> <br /> ==== Brief Explanation ====<br /> Label Buddy is an open-source audio annotation tool created during GSoC 2021 and extended during GSoC 2022. It aims to make the annotation process easy, and simple with the help of AI Assistance tools and at the same time offers a well-defined manager-annotator-reviewer system. The purpose of this project is to investigate and integrate Multi-Modal Annotation Support in data other than only sound with the use of Large Language Models (LLMs) and Active Learning for Model Improvement on the already existing models.<br /> <br /> ==== Expected Results. ====<br /> 1.) Add OpenAPI support; the ability to upload an OpenApi document and convert it to Flexbench test scenarios (ML can help!) 2.) Anonymization feature for exchanged data in requests and responses (ML can help!) 3.) Aesthetic and UX/UI fixes in desktop app 4.) Fixes to existing bugs 5.) Improve documentation<br /> <br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/eellak/gsoc2022-Label-buddy<br /> <br /> ==== Knowledge Prerequisites ====<br /> Machine Learning (ML) frameworks, Python, Django, VanillaJS, HTML<br /> <br /> ==== Mentors: ====<br /> Pantelis Vikatos, Giannis Prokopiou<br /> <br /> <br /> == Enhancements for Flexbench: OpenAPI Integration and Anonymization using Machine Learning (ML) ==<br /> <br /> ==== Brief Explanation ====<br /> Flexbench is a fully customizable NodeJS application, generating simulated HTTP traffic. It can be used as a standalone script, desktop-app* and server* to simulate traffic with specific characteristics, such as read/write ratio, duration, number of requests to generate, in/out traffic throttling and more.<br /> <br /> It is a forked project from the http-traffic-simulator npm package, which was developed to provide simulated throttled http traffic for stress and load testing purposes, towards specific http endpoints. It utilizes the nodejs cluster module to generate http requests, by spawning multiple workers (balanced over the system cores) in the cluster, responsible to create clients that generate requests. <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt;During the GSoC-2022 period, along with the standalone script version, desktop and server apps were developed, and major fixes were applied.<br /> <br /> ==== Expected Results. ====<br /> 1.) Add OpenAPI support; the ability to upload an OpenApi document and convert it to Flexbench test scenarios (ML can help!) 2.) Anonymization feature for exchanged data in requests and responses (ML can help!) 3.) Aesthetic and UX/UI fixes in desktop app 4.) Fixes to existing bugs 5.) Improve documentation<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> [https://github.com/flexivian/flexbench/tree/develop https://github.com/flexivian/flexbench/tree/develop ,][https://flexivian.github.io/flexbench/ https://flexivian.github.io/flexbench/]<br /> ==== Knowledge Prerequisites ====<br /> <br /> NodeJS, js, typescript, Html, Css, React, Electron, docker, Machine Learning, OpenAPI <br /> <br /> ==== Mentors: ====<br /> <br /> Ioannis Skitsas (iskitsas@gmail.com), Marios Karagiannopoulos (mariosk@gmail.com)<br /> <br /> == New open data sources for Alexandria3k ==<br /> <br /> ==== Brief Explanation ====<br /> The alexandria3k package supplies a library and a command-line tool providing efficient relational query access to diverse publication open data sets. The largest one is the entire Crossref data set (157 GB compressed, 1 TB uncompressed). This contains publication metadata from about 134 million publications from all major international publishers with full citation data for 60 million of them. Alternatively, works can be selected from the PubMed data set which comprises more than 36 million citations for biomedical literature from MEDLINE, life science journals, and online books, with rich domain-specific metadata, such as MeSH indexing, funding, genetic, and chemical details. In addition, the Crossref and PubMed data sets can be linked with the ORCID summary data set (25 GB compressed, 435 GB uncompressed), containing about 78 million author records, the United States Patent Office issued patents (11 GB compressed, 115 GB uncompressed), containing about 5.4 million records, as well as data sets of funder bodies, journal names, open access journals, and research organizations.<br /> <br /> ==== Expected Results. ====<br /> Implementation of four new data sources added to the eight existing ones<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/dspinellis/alexandria3k<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> Python, SQL, Unix command-line <br /> <br /> ==== Mentors: ====<br /> <br /> Diomidis Spinellis<br /> <br /> == MD-Attractor ==<br /> <br /> ==== Brief Explanation ====<br /> MD-Attractor is an open-source project designed to serve as a unified aggregator for music-related data sourced from various music platforms such as Spotify, Deezer, Apple Music, and more.<br /> <br /> The primary objective of this project is to provide a centralized hub for collecting and analyzing data from diverse media sources, offering users a comprehensive view of diverse music data sources.<br /> <br /> ===== Expected Results. =====<br /> 1. An extension of data sources and usage parameters. 2. Metadata artists and song analysis option. 3  Creation of artist's ego-networks and similarity component.<br /> <br /> ==== Duration of the Project ====<br /> Depending on the proposal<br /> <br /> ==== Related repositories ====<br /> https://github.com/sfendourakis/MD-Attractor<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> Python, APIs, Visualization <br /> <br /> ==== Mentors: ====<br /> <br /> Panagiotis Sfendourakis, Elektra Bilali Simou<br /> <br /> <br /> == Exploring and Abstracting Triplestore Alternatives ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to explore, analyze, and abstract various triplestore alternatives. The project aims to provide young programmers with a comprehensive understanding of different back-end alternatives that allow for storing data in triple format, commonly known as triplestores.<br /> <br /> ==== Background ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> <br /> ==== Project Description ====<br /> This project will involve a detailed exploration of various triplestore alternatives. The participants will perform rudimentary tests and benchmarks on these alternatives to understand their performance, scalability, and other key features.<br /> <br /> The ultimate goal is to develop a library that can act as an abstraction layer for these triplestore alternatives. This library will &quot;hide&quot; the underlying implementation, allowing developers to switch between different triplestores without changing their application code. This abstraction layer can be compared to a library abstracting various specific relational database management systems, all providing very similar functionality, like supporting SQL.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Identify and study various triplestore alternatives. Understand their architecture, features, and limitations.<br /> <br /> ''Testing:'' Perform rudimentary tests and benchmarks on the identified triplestore alternatives.<br /> <br /> ''Analysis:'' Analyze the test results to understand the performance and scalability of each alternative.<br /> <br /> ''Development:'' Develop an abstraction layer that can interface with the various triplestore alternatives.<br /> <br /> ''Documentation:'' Document the findings and the usage of the developed library.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a well-documented library that can act as an abstraction layer for various triplestore alternatives. This will provide developers with the flexibility to choose the most suitable triplestore for their specific needs without having to modify their application code.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the understanding of participants about triplestore alternatives but also equip them with the skills to develop an abstraction layer, thereby broadening their programming skills and knowledge.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://en.wikipedia.org/wiki/Triplestore Triplestore]<br /> - [https://en.wikipedia.org/wiki/Semantic_triple Triples]<br /> - [https://en.wikipedia.org/wiki/SPARQL Query language]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python (mandatory). Other programming languages like C, Go, Rust, Java, might prove useful.<br /> <br /> ==== Mentors: ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == Font Validator: A System for Quality Control of Digital Typefaces Containing Greek Characters ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to develop a comprehensive set of tests for quality control on digital typefaces, with a particular focus on Greek characters. The project aims to ensure the consistency of typeface design, especially in terms of height, shape, composites, ascenders, descenders, spacing, and kerning between Latin and Greek characters.<br /> <br /> ==== Background ====<br /> Digital typefaces play a crucial role in the readability and aesthetics of digital content. However, inconsistencies in typeface design, especially between different scripts like Latin and Greek, can lead to visual discomfort and confusion. Quality control in digital typefaces is therefore essential to ensure a consistent and pleasant reading experience.<br /> <br /> ==== Project Description ====<br /> This project will involve the development of a series of tests using Font Bakery or a similar tool. These tests will compare the height and shape of similarly shaped Latin and Greek letters, such as Latin A and Greek Alpha.<br /> <br /> Further tests will be performed on composites, ascenders, descenders, spacing, and kerning between Latin and Greek characters. The goal is to identify any inconsistencies and provide recommendations for improvements.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Study the design principles of Latin and Greek typefaces. Identify the key parameters for comparison, such as height, shape, composites, ascenders, descenders, spacing, and kerning.<br /> <br /> ''Test Development:'' Develop a series of tests using Font Bakery or a similar tool. These tests should be able to compare the identified parameters between Latin and Greek characters.<br /> <br /> ''Testing:'' Perform the developed tests on a variety of digital typefaces.<br /> <br /> ''Analysis:'' Analyze the test results to identify any inconsistencies in the design of Latin and Greek characters.<br /> <br /> ''Recommendations:'' Based on the analysis, provide recommendations for improving the consistency of typeface design.<br /> <br /> ''Documentation:'' Document the findings, the developed tests, and the recommendations.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a comprehensive set of tests for quality control on digital typefaces, especially for Greek characters. These tests will help typeface designers and developers ensure the consistency of their designs, thereby improving the readability and aesthetics of digital content.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the quality of digital typefaces but also contribute to the body of knowledge in the field of typeface design. It will provide valuable insights into the design principles of Latin and Greek characters and help ensure their consistency in digital typefaces.<br /> <br /> ==== Duration of the Project ====<br /> Can be either short (175 hours) or long (350 hours), depending on the agreed-upon scope.<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://font-bakery.readthedocs.io/en/latest/ Font Bakery documentation]<br /> - [https://github.com/fonttools/fontbakery Font Bakery source repo]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python, font technologies, understanding of Greek characters<br /> <br /> ==== Mentors: ====<br /> Irene Vlachou, Emilios Theofanous, Alexios Zavras<br /> <br /> <br /> == Development and Enhancement of the Cloud-Based FOSSBot Platform ==<br /> <br /> ==== Brief Explanation ====<br /> The evolution of the DIY robot kit for educators, initiated in GSoC 2019 with Christos Chronis, has significantly progressed over the years, culminating in a 3D printable, modular, and low-cost educational robot. Over the last five years, contributors from GSOC and the open source community have enriched this project with a programming stack compatible with Google Blockly, native Python through Monaco, and a Docker-based deployment system. At the same time, the initial DIY robot kit from GSOC 2019 transformed into the FOSSBot, and more educators understand and use this open-source solution to teach STEM.<br /> <br /> For GSoC 2023, the focus was on shifting the programming stack to the cloud, addressing issues like connectivity, updates, and the rising costs of Single Board Computers. Another notable addition was the web-based simulator, which allowed educators to test and use the robot virtually, reducing cost barriers and hardware requirements. In the following months, the platform will be available to all through the infrastructure of GFOSS, and at the same time, organized workshops will help make more people aware of the robot. Finally, in the last two years, two scientific publications were released, and the project started to attract the interest of the academic community.<br /> <br /> GSoC 2024 Objectives<br /> <br /> In 2024, our goal is to further enhance this cloud-based platform by:<br /> <br /> Performance Optimization: Improving both front-end and back-end performance for a seamless user experience.<br /> Development of Cooperative Modes: Enabling multiple robots to interact and collaborate in shared tasks or scenarios, fostering teamwork and advanced programming skills.<br /> Educator's Content Creation and Upload System: Developing a system where educators can create, share, and upload educational material, facilitating a dynamic and evolving educational environment.<br /> Custom Scene Creation for Godot Simulator: Integrating an interface for creating new, customized scenes in the existing Godot-based simulator, enabling tailored educational experiences.<br /> Platform Support for Physical Hardware: Introducing programming support for physical devices like the FOSSBot, Arduino, and MicroPython-supported microcontrollers, broadening the scope of practical applications and hands-on learning.<br /> Continuous Integration and Deployment (CI/CD) Enhancements: Streamlining updates and maintenance through advanced GitHub automation and cloud deployment strategies.<br /> Extensive Documentation: Ensuring comprehensive documentation to facilitate ease of use and adaptability for educators and developers.<br /> <br /> ==== Expected Results. ====<br /> A robust, cloud-based platform offering a wide range of educational and programming possibilities.<br /> Enhanced user experience with improved performance and new features.<br /> Greater accessibility and cost-effectiveness for educators worldwide.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> <br /> ==== Related repositories ==== <br /> https://github.com/eellak/gsoc2019-diyrobot<br /> https://github.com/eellak/fossbot<br /> https://github.com/chronis10/fossbot-app<br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot-source<br /> https://github.com/eellak/fossbot-web-simulator<br /> <br /> ==== Knowledge Prerequisites ====<br /> React.js<br /> Python<br /> Flask API / FastAPI<br /> SQLAlchemy<br /> Godot (not mandatory)<br /> JavaScript<br /> Docker<br /> Git<br /> <br /> ==== Related publications ==== <br /> Chronis C., &amp; Varlamis I. (2022). FOSSBot: An Open Source and Open Design Educational Robot. Electronics, 11(16), 2606. https://www.mdpi.com/2079-9292/11/16/2606<br /> Kazazis G., Chronis C., Diou C. &amp; Varlamis I. Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot, Pan-Hellenic Conference on Progress in Computing and Informatics, ACM 2023 (Under Publication) <br /> <br /> <br /> ==== Mentors: ====<br /> Christos Chronis, Iraklis Varlamis<br /> <br /> <br /> <br /> == Enabling Apothesis to support atomic layer deposition and etching processes ==<br /> <br /> ==== Brief Explanation ====<br /> Αpothesis is an open source software for designing, simulating and analyzing deposition processes. It is based on Kinetic Monte Carlo method and its two main components are the lattice (simple cubic, HPC etc) where particular processes (adsorption, desorption, surface rection and diffusion) are performed. Up until now Apothesis has been used in various applications (see for example https://iopscience.iop.org/article/10.1088/1361-651X/ace276/meta). However, there is a lack of generalized software for atomic layer deposition/etching (ALD/ALE) processes. ALD/ALE are based on pulses performing over sequentially over a certain period of time (see https://www.frontiersin.org/articles/10.3389/fphy.2021.631918/full for more details). That said, the purpose of this project is to enable Apothesis to handle ALD/ALE cases. For that, there various parts of Apothesis that need to be changed with the most basic being: <br /> 1. Enabling Apothesis to read the lattice from a file. Thus creating a generalized reader for hard copy lattices. <br /> 2. Creating the sequentially calls to simulate ALD/ALE processes. <br /> 3. Design the output of the ALD/ALE process. <br /> <br /> <br /> ==== Expected Results. ====<br /> The results from a simple case of ALD in a simple cubic lattice. <br /> <br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/nixeimar/Apothesis<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, desing patters (factory pattern) and basic physics in deposition processes <br /> <br /> ==== Mentors: ====<br /> Cheimarios Nikolaos, Vissarion Fysikopoulos <br /> <br /> <br /> <br /> == eCodeOrama, an educational interactive flow visualization tool for mit scratch programs ==<br /> <br /> ==== Brief Explanation ====<br /> The project will create a interactive tool to extract, visualize graphically and edit (to improve the presentation of) the layout of the flow of code in blocks / scripts in a mit scratch program and their interaction with any messages or other external events. The tool will use rules to decide on many layout parameters (e.g. the position of the code blocks in the layout, the colors used, etc) but the user will be able to overwrite the default choices. The presentation will be compatible with the codeOrama code layout specification.<br /> The tool will also promote code understanding, especially to young students that use scratch, and will include debugging aids.<br /> The students can use this flow to better visualize and understand their program, to explain it to others, to debug it and to design extensions and modifications.<br /> <br /> <br /> ==== Expected Results ====<br /> A tool to visualize and edit the layout of the event based script flow of a scratch program, keeping it compatible with the codeOrama code layout specification.<br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> git@github.com:sarantos40/eCodeOrama.git<br /> <br /> ==== Knowledge Prerequisites ====<br /> python, mit scratch, gui development<br /> <br /> ==== Mentors: ====<br /> Sarantos Kapidakis (sarantos.kapidakis@gmail.com), Chrysovalantis Sfyrakis<br /> <br /> <br /> == Enhancement of SmAuto DSL and integration into HomeAssistant ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto is a Domain Specific Language (DSL) that enables users to program complex automation scenarios, for connected IoT devices in smart environments, that go beyond simple tasks. SmAuto lacks extra features like invocation of REST/MQTT services, time delays etc., thus it should be expanded towards this direction. Furthermore, HomeAssistant would benefit from the integration of a DSL like SMAuto for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> ==== Expected Results ====<br /> In the context of this project, we desire to expand the SmAuto DSL with the following features: a) adding virtual entities, like REST calls and MQTT RPCs, so as for the automations to be able to access information from external services, b) incorporate auxiliary concepts like Delay, Conditions/Switches, or Compute nodes and c) generalize the language’s Condition concept. Furthermore, the integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA plugin, where each user can declare SmAuto automations and deploy them locally in HA.<br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/<br /> <br /> ==== Knowledge Prerequisites ====<br /> Required: Python, Software engineering, IoT concepts, Unix/Linux. Desired: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors: ====<br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> == Creating a factory pattern for handling lattices in Apothesis. ==<br /> <br /> ==== Brief Explanation ====<br /> Apothesis is a generalized software for designing, simulating and analyzing deposition processes. It is based on the kinetic Monte Carlo method. That said, it consists of two main components; a lattice (e.g. simple cubic, HPC etc) and the processes (adsorption, desorption, diffusion and surface reactions) performed in this lattice. Currently, the lattices are hard coded inside Apothesis making it difficult to add new ones easily. This proposal is focuses on creating a factory pattern which be used as a guide for adding lattices in Apothesis. Then this will be used to incorporate 2D lattices (like graphene) inside Apothesis.<br /> <br /> ==== Expected Results ====<br /> The factory pattern source code and a simple example for incorporating a graphene lattice. <br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> https://github.com/nixeimar/Apothesis<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, design (factory pattern)<br /> <br /> <br /> ==== Mentors: ====<br /> Nikolaos Cheimarios, Christina-Anna Gatsiou <br /> <br /> <br /> == MyUni ==<br /> <br /> ==== Brief Explanation ====<br /> Currently there is a University App called MyUoM for Greek universities in https://my.uom.gr/ (followed by an effort in University of West Attica, https://iam.uniwa.gr/. This app is official but it lacks features(e.g. login) and a proper backend with an architecture that will allow different implementations for Universities. In this project we want to add a CMS for info that is changing frequently and a backend that fetches realtime info from the official websites. We want to unify those efforts and make it easier for other universities to join.<br /> <br /> <br /> <br /> ==== Expected Results. ====<br /> 1. We want to add Sanity CMS(https://www.sanity.io/) for data changing frequently. 2. Setup a backend that fetches information from official sources and static information(e.g. map images) to make the frontend lighter. 3. Rewrite in Typescript for maintainability<br /> <br /> Whoever is interested in talking with the initial core contributors can also find us on https://my.uom.gr/about and https://opensource.uom.gr to join our discord and follow us on social media.<br /> <br /> <br /> ==== Duration of the Project ====<br /> Depending on the scope<br /> <br /> ==== Related repositories ====<br /> https://github.com/Open-Source-UoM/MyUoM<br /> <br /> ==== Knowledge Prerequisites ====<br /> React.js, Java(Spring Boot),Typescript, Next.js(Optional)<br /> <br /> <br /> ==== Mentors: ====<br /> Anastasios Tsalmas tsalmanastasios@gmail.com, Efstathios Iosifidis eiosifidis@gmail.com<br /> <br /> == DIY IoT Physics Experiments for education ==<br /> <br /> ====Brief Explanation====<br /> <br /> Remote physics experiments for students in all the educational levels are the second best to hands on experiments. Especially for students who temporarily cannot attend school or in cases like the Covid-19 and the lockdowns. In many practical cases they are the only alternative, as they are available 24/7, they can involve dangerous materials or conditions, they can be accessed from anywhere and any device, they require less maintenance, have lower cost, can be easily modified, or arranged to perform another experiment, and are less probable to be damaged. They are in line with the modern way of performing experiments, as it is desirable to have as less as possible direct contact with the experiments and use them on-line. Examples include on-line telescopes and electronic microscopes. This is possible due to the automation; data acquisition and manipulation of the experimental data is done using a computer or a microcomputer. In this way students need not take pain stacking notes, especially for experiments that take a lot of time to collect data, sometimes days or months. Students can concentrate on data processing, on the analysis of the results and arrive at scientific valid conclusions. Our laboratory has set up many remote experiments and has experience of more than 10 years in designing, setting, and servicing remote experiments. Our remote experiments are based on Arduino and readily available sensors and actuators. The aim of the present project is to design and implement a way to make the sensors and the actuators to form an IoT local network so that it will be easier to easily utilize them in different experiments and to build new experiments. The IoT sensors and actuators will be DIY and based on open software. The applicant will program the ESP8266 to receive data from the sensor and transmit the data through MQTT to ThingsBoard. Similarly for an actuator the ESP8266 will receive MQTT data from ThingsBoard. The applicant will prepare five DIY IoT sensors and five actuators. ThingsBoard will provide users with the visual representation of the data and the control of the experimental setup through dashboards. The applicant will prepare five dashboards for five corresponding experiments.<br /> <br /> ====Expected Results====<br /> <br /> At the end of the present GSoC project the open source for five IoT DIY sensors and five actuators will be designed and implemented. Also, five Dashboards on the open source IoT platform ThingsBoard for five corresponding experiments will be designed and implemented. A list of the electronic components, instructions for the assembly and documentation for the software will be prepared.<br /> <br /> <br /> ====Duration of the Project====<br /> Medium Size - 175 hours<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/totheworld2004/DIY-Physics-IoT<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> How to program ESP8266, MQTT to transfer and receive data and design and implement Dashboards on a IoT platform<br /> <br /> ====Mentors====<br /> <br /> Hariton Polatoglou and Panagiotis Koustoumpardis<br /> <br /> <br /> [[Κατηγορία:GSOC2024]]<br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2024_proposed_ideas&diff=2281 2024-02-27T07:09:27Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == EDGAR-CRAWLER: Democratizing accessibility to Financial NLP documents ==<br /> <br /> ==== Brief Explanation ====<br /> Natural Language Processing (NLP) faces big challenges in the field of business and finance since financial text data is often locked behind paywalls, making it hard to get the information we need. This problem highlights why it is so important to automate data collection from free sources, like EDGAR, the U.S. Securities and Exchange Commission's public database. EDGAR contains documents about publicly traded stocks from companies in the U.S., like Microsoft, Google, or Amazon. Our existing software, EDGAR-CRAWLER, tackles this problem by automatically downloading and “cleaning” financial documents, mainly through the use of regular expressions, and then making such data available in an easy-to-use JSON format for NLP pipelines and applications. EDGAR-CRAWLER, with over 190 stars on Github, is the go-to toolkit for making financial data accessible to everyone. However, currently, it is only limited to one type of company filing, the annual reports (10-K filings). By adding support for more types of documents, EDGAR-CRAWLER plans to make financial information even more accessible, playing a vital role in the progress of financial NLP and open data.<br /> <br /> ==== Expected Results. ====<br /> • Extend EDGAR-CRAWLER to fetch more types of US company filings like quarterly reports (10-Q) and current reports (8-K), using string-searching algorithms like regular expressions. • Write documentation for these new features. • Develop unit tests for these new features.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/nlpaueb/edgar-crawler/<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • Proficiency in Python and Software Development • Familiarity with regular expressions and Natural Language Processing (NLP) • Experience in web scraping and data processing (beautifulsoup, pandas). • Interest in Machine Learning (ML) <br /> <br /> ==== Mentors: ====<br /> <br /> Lefteris Loukas, Ion Androutsopoulos<br /> <br /> <br /> == GlossAPI ==<br /> <br /> ====Brief Explanation====<br /> <br /> GlossAPI is an open source project seeking to develop a standard open access corpus of the Greek language, and benchmark it against existing and to-be-developed language models, with the objective of providing an upstream service to the Greek tech community.<br /> The project is named after a portmandeau of the Greek word for &quot;language&quot; and &quot;API&quot; which creates a visual resemblance to the word Glossary in Greek.<br /> This is to express our objective to provide an index of the Greek language via flexible programing interfaces.<br /> <br /> Greek is a language that is under-represented in existing LLMs, while it has a complex history, grammar and writing system. Our trials with existing models have shown lack of syntactic and semantic knowledge of advanced Greek and its nuances, and we have put forth a number of analyses showing that this poses a risk for digital divides, language extinction, and subpar experience for users of public services.<br /> <br /> To our knowledge other LLM projects that tackle the problem of the Greek language are either proprietary, closed code, narrow scope, or otherwise unfit for our purpose which is to provide publicly available, fully open source language models with respect to all code/weights/procedures/data.<br /> We reach out and bring together people that have the expertise, the passion, the collections, or the hardware, to take part in this endeavor, that will help the Greek stratup/tech scene catch up with the rapid developments in downstream applications that are now common place for developers of English language generative models. <br /> <br /> <br /> ====Expected Results====<br /> <br /> The project will result to an Open Source Corpus, representative of the Greek language and its different varieties. At first emphasis will be given to the formal varieties used in government, education and the law. Additionally, we want to represent, in a subsequent training stage, a number of basic knowledge domains to an &quot;undergraduate degree&quot; level. The datasets will be versioned and benchmarked against different models and tokenizers. We also need to develop a sufficient set of evaluation tasks (such as Factual QA - Greek). Finally a couple of foundation models of different architectures will be fitted onto the dataset and the evaluation suite, and published to the community under an open source licence. With these moves we expect to pollinate the Greek tech ecosystem with reliable, inexpensive, and extensible models and datasets, that will help the Greek Open Source AI scence thrive. All data and models will be accompanied by thorough documentation and guides, to ensure replicability and reusability of the results.<br /> <br /> <br /> ====Duration of the Project====<br /> <br /> 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/glossAPI/<br /> https://github.com/eellak/glossAPI/wiki<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Corpus Annotation for Language Models<br /> Quantitative Corpus Linguistics or Natural Language Processing<br /> Python with transformers library, sci-kit learn, numpy, pandas and streamlit, langchain or similar<br /> Mathematical statistics or similar discipline<br /> Django knowledge is good to have<br /> <br /> ====Mentors====<br /> <br /> N. Giallousi, A. Melidis, Greek Free Open Source Software/Hardware Alliance<br /> <br /> <br /> <br /> == Greeklish-to-Greek: Development of an open-source and state-of-the-art toolkit ==<br /> <br /> ==== Brief Explanation ====<br /> Greeklish” is a way of writing Greek with the commonly used Latin alphabet instead of the Greek alphabet (think of “kalimera” instead of “καλημέρα”), and has been widely used by Greek speakers for decades due to early technological limitations in supporting Greek characters. Its ease of use for informal digital communication, such as on forums or in comments, allows for quick language switching without changing any keyboard input, and hides spelling errors. However, Greeklish complicates the development of Natural Language Processing (NLP) tools for the Greek language because Machine Learning (ML) models are trained on standard Greek, not Greeklish. Most existing Greeklish-to-Greek toolkits are limited, rule-based, and closed-source. Our team has researched and developed state-of-the-art Greeklish-to-Greek methods utilizing Transformer NLP models. The purpose of the project is to develop an open-source, user-friendly Python toolkit, based on our existing research so that the community can benefit from it.<br /> The GSOC contributor will work in close collaboration between helvia.ai (https://helvia.ai/) and the AUEB NLP Group (http://nlp.cs.aueb.gr/software.html), leveraging both industrial and academic expertise to tackle these NLP challenges.<br /> <br /> ==== Expected Results ====<br /> • Development of a user-friendly Python wrapper based on our best Greeklish-to-Greek NLP model  • Documentation and unit testing of the library • Development of new methods for Greeklish-to-Greek conversion, utilizing more recent and promising Large Language Models (LLMs), such as Meta’s LLaMA2 or Mistral models<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> While the proposed Greeklish toolkit can be developed independently, it could also be integrated as an extra functionality to the mentors’ affiliated current state-of-the-art Greek NLP toolkit: &lt;nowiki&gt;https://github.com/nlpaueb/gr-nlp-toolkit&lt;/nowiki&gt;<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • Advanced Python Programming and Software Engineering • Deep Learning for NLP and familiarity with related frameworks (e.g., PyTorch, HuggingFace)<br /> <br /> ==== Mentors: ====<br /> John Pavlopoulos (AUEB), Ion Androutsopoulos (AUEB), Stavros Vassos (helvia.ai), Lefteris Loukas (helvia.ai &amp; AUEB)<br /> <br /> <br /> == Label Buddy 3.0: Automated audio-tagging using transfer learning ==<br /> <br /> ==== Brief Explanation ====<br /> Label Buddy is an open-source audio annotation tool created during GSoC 2021 and extended during GSoC 2022. It aims to make the annotation process easy, and simple with the help of AI Assistance tools and at the same time offers a well-defined manager-annotator-reviewer system. The purpose of this project is to investigate and integrate Multi-Modal Annotation Support in data other than only sound with the use of Large Language Models (LLMs) and Active Learning for Model Improvement on the already existing models.<br /> <br /> ==== Expected Results. ====<br /> 1.) Add OpenAPI support; the ability to upload an OpenApi document and convert it to Flexbench test scenarios (ML can help!) 2.) Anonymization feature for exchanged data in requests and responses (ML can help!) 3.) Aesthetic and UX/UI fixes in desktop app 4.) Fixes to existing bugs 5.) Improve documentation<br /> <br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/eellak/gsoc2022-Label-buddy<br /> <br /> ==== Knowledge Prerequisites ====<br /> Machine Learning (ML) frameworks, Python, Django, VanillaJS, HTML<br /> <br /> ==== Mentors: ====<br /> Pantelis Vikatos, Giannis Prokopiou<br /> <br /> <br /> == Enhancements for Flexbench: OpenAPI Integration and Anonymization using Machine Learning (ML) ==<br /> <br /> ==== Brief Explanation ====<br /> Flexbench is a fully customizable NodeJS application, generating simulated HTTP traffic. It can be used as a standalone script, desktop-app* and server* to simulate traffic with specific characteristics, such as read/write ratio, duration, number of requests to generate, in/out traffic throttling and more.<br /> <br /> It is a forked project from the http-traffic-simulator npm package, which was developed to provide simulated throttled http traffic for stress and load testing purposes, towards specific http endpoints. It utilizes the nodejs cluster module to generate http requests, by spawning multiple workers (balanced over the system cores) in the cluster, responsible to create clients that generate requests. <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt;During the GSoC-2022 period, along with the standalone script version, desktop and server apps were developed, and major fixes were applied.<br /> <br /> ==== Expected Results. ====<br /> 1.) Add OpenAPI support; the ability to upload an OpenApi document and convert it to Flexbench test scenarios (ML can help!) 2.) Anonymization feature for exchanged data in requests and responses (ML can help!) 3.) Aesthetic and UX/UI fixes in desktop app 4.) Fixes to existing bugs 5.) Improve documentation<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> [https://github.com/dspinellis/alexandria3k https://github.com/flexivian/flexbench/tree/develop ,][https://github.com/dspinellis/alexandria3k https://flexivian.github.io/flexbench/]<br /> ==== Knowledge Prerequisites ====<br /> <br /> NodeJS, js, typescript, Html, Css, React, Electron, docker, Machine Learning, OpenAPI <br /> <br /> ==== Mentors: ====<br /> <br /> Ioannis Skitsas (iskitsas@gmail.com), Marios Karagiannopoulos (mariosk@gmail.com)<br /> <br /> == New open data sources for Alexandria3k ==<br /> <br /> ==== Brief Explanation ====<br /> The alexandria3k package supplies a library and a command-line tool providing efficient relational query access to diverse publication open data sets. The largest one is the entire Crossref data set (157 GB compressed, 1 TB uncompressed). This contains publication metadata from about 134 million publications from all major international publishers with full citation data for 60 million of them. Alternatively, works can be selected from the PubMed data set which comprises more than 36 million citations for biomedical literature from MEDLINE, life science journals, and online books, with rich domain-specific metadata, such as MeSH indexing, funding, genetic, and chemical details. In addition, the Crossref and PubMed data sets can be linked with the ORCID summary data set (25 GB compressed, 435 GB uncompressed), containing about 78 million author records, the United States Patent Office issued patents (11 GB compressed, 115 GB uncompressed), containing about 5.4 million records, as well as data sets of funder bodies, journal names, open access journals, and research organizations.<br /> <br /> ==== Expected Results. ====<br /> Implementation of four new data sources added to the eight existing ones<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/dspinellis/alexandria3k<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> Python, SQL, Unix command-line <br /> <br /> ==== Mentors: ====<br /> <br /> Diomidis Spinellis<br /> <br /> == MD-Attractor ==<br /> <br /> ==== Brief Explanation ====<br /> MD-Attractor is an open-source project designed to serve as a unified aggregator for music-related data sourced from various music platforms such as Spotify, Deezer, Apple Music, and more.<br /> <br /> The primary objective of this project is to provide a centralized hub for collecting and analyzing data from diverse media sources, offering users a comprehensive view of diverse music data sources.<br /> <br /> ===== Expected Results. =====<br /> 1. An extension of data sources and usage parameters. 2. Metadata artists and song analysis option. 3  Creation of artist's ego-networks and similarity component.<br /> <br /> ==== Duration of the Project ====<br /> Depending on the proposal<br /> <br /> ==== Related repositories ====<br /> https://github.com/sfendourakis/MD-Attractor<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> Python, APIs, Visualization <br /> <br /> ==== Mentors: ====<br /> <br /> Panagiotis Sfendourakis, Elektra Bilali Simou<br /> <br /> <br /> == Exploring and Abstracting Triplestore Alternatives ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to explore, analyze, and abstract various triplestore alternatives. The project aims to provide young programmers with a comprehensive understanding of different back-end alternatives that allow for storing data in triple format, commonly known as triplestores.<br /> <br /> ==== Background ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> <br /> ==== Project Description ====<br /> This project will involve a detailed exploration of various triplestore alternatives. The participants will perform rudimentary tests and benchmarks on these alternatives to understand their performance, scalability, and other key features.<br /> <br /> The ultimate goal is to develop a library that can act as an abstraction layer for these triplestore alternatives. This library will &quot;hide&quot; the underlying implementation, allowing developers to switch between different triplestores without changing their application code. This abstraction layer can be compared to a library abstracting various specific relational database management systems, all providing very similar functionality, like supporting SQL.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Identify and study various triplestore alternatives. Understand their architecture, features, and limitations.<br /> <br /> ''Testing:'' Perform rudimentary tests and benchmarks on the identified triplestore alternatives.<br /> <br /> ''Analysis:'' Analyze the test results to understand the performance and scalability of each alternative.<br /> <br /> ''Development:'' Develop an abstraction layer that can interface with the various triplestore alternatives.<br /> <br /> ''Documentation:'' Document the findings and the usage of the developed library.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a well-documented library that can act as an abstraction layer for various triplestore alternatives. This will provide developers with the flexibility to choose the most suitable triplestore for their specific needs without having to modify their application code.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the understanding of participants about triplestore alternatives but also equip them with the skills to develop an abstraction layer, thereby broadening their programming skills and knowledge.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://en.wikipedia.org/wiki/Triplestore Triplestore]<br /> - [https://en.wikipedia.org/wiki/Semantic_triple Triples]<br /> - [https://en.wikipedia.org/wiki/SPARQL Query language]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python (mandatory). Other programming languages like C, Go, Rust, Java, might prove useful.<br /> <br /> ==== Mentors: ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == Font Validator: A System for Quality Control of Digital Typefaces Containing Greek Characters ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to develop a comprehensive set of tests for quality control on digital typefaces, with a particular focus on Greek characters. The project aims to ensure the consistency of typeface design, especially in terms of height, shape, composites, ascenders, descenders, spacing, and kerning between Latin and Greek characters.<br /> <br /> ==== Background ====<br /> Digital typefaces play a crucial role in the readability and aesthetics of digital content. However, inconsistencies in typeface design, especially between different scripts like Latin and Greek, can lead to visual discomfort and confusion. Quality control in digital typefaces is therefore essential to ensure a consistent and pleasant reading experience.<br /> <br /> ==== Project Description ====<br /> This project will involve the development of a series of tests using Font Bakery or a similar tool. These tests will compare the height and shape of similarly shaped Latin and Greek letters, such as Latin A and Greek Alpha.<br /> <br /> Further tests will be performed on composites, ascenders, descenders, spacing, and kerning between Latin and Greek characters. The goal is to identify any inconsistencies and provide recommendations for improvements.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Study the design principles of Latin and Greek typefaces. Identify the key parameters for comparison, such as height, shape, composites, ascenders, descenders, spacing, and kerning.<br /> <br /> ''Test Development:'' Develop a series of tests using Font Bakery or a similar tool. These tests should be able to compare the identified parameters between Latin and Greek characters.<br /> <br /> ''Testing:'' Perform the developed tests on a variety of digital typefaces.<br /> <br /> ''Analysis:'' Analyze the test results to identify any inconsistencies in the design of Latin and Greek characters.<br /> <br /> ''Recommendations:'' Based on the analysis, provide recommendations for improving the consistency of typeface design.<br /> <br /> ''Documentation:'' Document the findings, the developed tests, and the recommendations.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a comprehensive set of tests for quality control on digital typefaces, especially for Greek characters. These tests will help typeface designers and developers ensure the consistency of their designs, thereby improving the readability and aesthetics of digital content.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the quality of digital typefaces but also contribute to the body of knowledge in the field of typeface design. It will provide valuable insights into the design principles of Latin and Greek characters and help ensure their consistency in digital typefaces.<br /> <br /> ==== Duration of the Project ====<br /> Can be either short (175 hours) or long (350 hours), depending on the agreed-upon scope.<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://font-bakery.readthedocs.io/en/latest/ Font Bakery documentation]<br /> - [https://github.com/fonttools/fontbakery Font Bakery source repo]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python, font technologies, understanding of Greek characters<br /> <br /> ==== Mentors: ====<br /> Irene Vlachou, Emilios Theofanous, Alexios Zavras<br /> <br /> <br /> == Development and Enhancement of the Cloud-Based FOSSBot Platform ==<br /> <br /> ==== Brief Explanation ====<br /> The evolution of the DIY robot kit for educators, initiated in GSoC 2019 with Christos Chronis, has significantly progressed over the years, culminating in a 3D printable, modular, and low-cost educational robot. Over the last five years, contributors from GSOC and the open source community have enriched this project with a programming stack compatible with Google Blockly, native Python through Monaco, and a Docker-based deployment system. At the same time, the initial DIY robot kit from GSOC 2019 transformed into the FOSSBot, and more educators understand and use this open-source solution to teach STEM.<br /> <br /> For GSoC 2023, the focus was on shifting the programming stack to the cloud, addressing issues like connectivity, updates, and the rising costs of Single Board Computers. Another notable addition was the web-based simulator, which allowed educators to test and use the robot virtually, reducing cost barriers and hardware requirements. In the following months, the platform will be available to all through the infrastructure of GFOSS, and at the same time, organized workshops will help make more people aware of the robot. Finally, in the last two years, two scientific publications were released, and the project started to attract the interest of the academic community.<br /> <br /> GSoC 2024 Objectives<br /> <br /> In 2024, our goal is to further enhance this cloud-based platform by:<br /> <br /> Performance Optimization: Improving both front-end and back-end performance for a seamless user experience.<br /> Development of Cooperative Modes: Enabling multiple robots to interact and collaborate in shared tasks or scenarios, fostering teamwork and advanced programming skills.<br /> Educator's Content Creation and Upload System: Developing a system where educators can create, share, and upload educational material, facilitating a dynamic and evolving educational environment.<br /> Custom Scene Creation for Godot Simulator: Integrating an interface for creating new, customized scenes in the existing Godot-based simulator, enabling tailored educational experiences.<br /> Platform Support for Physical Hardware: Introducing programming support for physical devices like the FOSSBot, Arduino, and MicroPython-supported microcontrollers, broadening the scope of practical applications and hands-on learning.<br /> Continuous Integration and Deployment (CI/CD) Enhancements: Streamlining updates and maintenance through advanced GitHub automation and cloud deployment strategies.<br /> Extensive Documentation: Ensuring comprehensive documentation to facilitate ease of use and adaptability for educators and developers.<br /> <br /> ==== Expected Results. ====<br /> A robust, cloud-based platform offering a wide range of educational and programming possibilities.<br /> Enhanced user experience with improved performance and new features.<br /> Greater accessibility and cost-effectiveness for educators worldwide.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> <br /> ==== Related repositories ==== <br /> https://github.com/eellak/gsoc2019-diyrobot<br /> https://github.com/eellak/fossbot<br /> https://github.com/chronis10/fossbot-app<br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot-source<br /> https://github.com/eellak/fossbot-web-simulator<br /> <br /> ==== Knowledge Prerequisites ====<br /> React.js<br /> Python<br /> Flask API / FastAPI<br /> SQLAlchemy<br /> Godot (not mandatory)<br /> JavaScript<br /> Docker<br /> Git<br /> <br /> ==== Related publications ==== <br /> Chronis C., &amp; Varlamis I. (2022). FOSSBot: An Open Source and Open Design Educational Robot. Electronics, 11(16), 2606. https://www.mdpi.com/2079-9292/11/16/2606<br /> Kazazis G., Chronis C., Diou C. &amp; Varlamis I. Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot, Pan-Hellenic Conference on Progress in Computing and Informatics, ACM 2023 (Under Publication) <br /> <br /> <br /> ==== Mentors: ====<br /> Christos Chronis, Iraklis Varlamis<br /> <br /> <br /> <br /> == Enabling Apothesis to support atomic layer deposition and etching processes ==<br /> <br /> ==== Brief Explanation ====<br /> Αpothesis is an open source software for designing, simulating and analyzing deposition processes. It is based on Kinetic Monte Carlo method and its two main components are the lattice (simple cubic, HPC etc) where particular processes (adsorption, desorption, surface rection and diffusion) are performed. Up until now Apothesis has been used in various applications (see for example https://iopscience.iop.org/article/10.1088/1361-651X/ace276/meta). However, there is a lack of generalized software for atomic layer deposition/etching (ALD/ALE) processes. ALD/ALE are based on pulses performing over sequentially over a certain period of time (see https://www.frontiersin.org/articles/10.3389/fphy.2021.631918/full for more details). That said, the purpose of this project is to enable Apothesis to handle ALD/ALE cases. For that, there various parts of Apothesis that need to be changed with the most basic being: <br /> 1. Enabling Apothesis to read the lattice from a file. Thus creating a generalized reader for hard copy lattices. <br /> 2. Creating the sequentially calls to simulate ALD/ALE processes. <br /> 3. Design the output of the ALD/ALE process. <br /> <br /> <br /> ==== Expected Results. ====<br /> The results from a simple case of ALD in a simple cubic lattice. <br /> <br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/nixeimar/Apothesis<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, desing patters (factory pattern) and basic physics in deposition processes <br /> <br /> ==== Mentors: ====<br /> Cheimarios Nikolaos, Vissarion Fysikopoulos <br /> <br /> <br /> <br /> == eCodeOrama, an educational interactive flow visualization tool for mit scratch programs ==<br /> <br /> ==== Brief Explanation ====<br /> The project will create a interactive tool to extract, visualize graphically and edit (to improve the presentation of) the layout of the flow of code in blocks / scripts in a mit scratch program and their interaction with any messages or other external events. The tool will use rules to decide on many layout parameters (e.g. the position of the code blocks in the layout, the colors used, etc) but the user will be able to overwrite the default choices. The presentation will be compatible with the codeOrama code layout specification.<br /> The tool will also promote code understanding, especially to young students that use scratch, and will include debugging aids.<br /> The students can use this flow to better visualize and understand their program, to explain it to others, to debug it and to design extensions and modifications.<br /> <br /> <br /> ==== Expected Results ====<br /> A tool to visualize and edit the layout of the event based script flow of a scratch program, keeping it compatible with the codeOrama code layout specification.<br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> git@github.com:sarantos40/eCodeOrama.git<br /> <br /> ==== Knowledge Prerequisites ====<br /> python, mit scratch, gui development<br /> <br /> ==== Mentors: ====<br /> Sarantos Kapidakis (sarantos.kapidakis@gmail.com), Chrysovalantis Sfyrakis<br /> <br /> <br /> == Enhancement of SmAuto DSL and integration into HomeAssistant ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto is a Domain Specific Language (DSL) that enables users to program complex automation scenarios, for connected IoT devices in smart environments, that go beyond simple tasks. SmAuto lacks extra features like invocation of REST/MQTT services, time delays etc., thus it should be expanded towards this direction. Furthermore, HomeAssistant would benefit from the integration of a DSL like SMAuto for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> ==== Expected Results ====<br /> In the context of this project, we desire to expand the SmAuto DSL with the following features: a) adding virtual entities, like REST calls and MQTT RPCs, so as for the automations to be able to access information from external services, b) incorporate auxiliary concepts like Delay, Conditions/Switches, or Compute nodes and c) generalize the language’s Condition concept. Furthermore, the integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA plugin, where each user can declare SmAuto automations and deploy them locally in HA.<br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/<br /> <br /> ==== Knowledge Prerequisites ====<br /> Required: Python, Software engineering, IoT concepts, Unix/Linux. Desired: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors: ====<br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> == Creating a factory pattern for handling lattices in Apothesis. ==<br /> <br /> ==== Brief Explanation ====<br /> Apothesis is a generalized software for designing, simulating and analyzing deposition processes. It is based on the kinetic Monte Carlo method. That said, it consists of two main components; a lattice (e.g. simple cubic, HPC etc) and the processes (adsorption, desorption, diffusion and surface reactions) performed in this lattice. Currently, the lattices are hard coded inside Apothesis making it difficult to add new ones easily. This proposal is focuses on creating a factory pattern which be used as a guide for adding lattices in Apothesis. Then this will be used to incorporate 2D lattices (like graphene) inside Apothesis.<br /> <br /> ==== Expected Results ====<br /> The factory pattern source code and a simple example for incorporating a graphene lattice. <br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> https://github.com/nixeimar/Apothesis<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, design (factory pattern)<br /> <br /> <br /> ==== Mentors: ====<br /> Nikolaos Cheimarios, Christina-Anna Gatsiou <br /> <br /> <br /> == MyUni ==<br /> <br /> ==== Brief Explanation ====<br /> Currently there is a University App called MyUoM for Greek universities in https://my.uom.gr/ (followed by an effort in University of West Attica, https://iam.uniwa.gr/. This app is official but it lacks features(e.g. login) and a proper backend with an architecture that will allow different implementations for Universities. In this project we want to add a CMS for info that is changing frequently and a backend that fetches realtime info from the official websites. We want to unify those efforts and make it easier for other universities to join.<br /> <br /> <br /> <br /> ==== Expected Results. ====<br /> 1. We want to add Sanity CMS(https://www.sanity.io/) for data changing frequently. 2. Setup a backend that fetches information from official sources and static information(e.g. map images) to make the frontend lighter. 3. Rewrite in Typescript for maintainability<br /> <br /> Whoever is interested in talking with the initial core contributors can also find us on https://my.uom.gr/about and https://opensource.uom.gr to join our discord and follow us on social media.<br /> <br /> <br /> ==== Duration of the Project ====<br /> Depending on the scope<br /> <br /> ==== Related repositories ====<br /> https://github.com/Open-Source-UoM/MyUoM<br /> <br /> ==== Knowledge Prerequisites ====<br /> React.js, Java(Spring Boot),Typescript, Next.js(Optional)<br /> <br /> <br /> ==== Mentors: ====<br /> Anastasios Tsalmas tsalmanastasios@gmail.com, Efstathios Iosifidis eiosifidis@gmail.com<br /> <br /> == DIY IoT Physics Experiments for education ==<br /> <br /> ====Brief Explanation====<br /> <br /> Remote physics experiments for students in all the educational levels are the second best to hands on experiments. Especially for students who temporarily cannot attend school or in cases like the Covid-19 and the lockdowns. In many practical cases they are the only alternative, as they are available 24/7, they can involve dangerous materials or conditions, they can be accessed from anywhere and any device, they require less maintenance, have lower cost, can be easily modified, or arranged to perform another experiment, and are less probable to be damaged. They are in line with the modern way of performing experiments, as it is desirable to have as less as possible direct contact with the experiments and use them on-line. Examples include on-line telescopes and electronic microscopes. This is possible due to the automation; data acquisition and manipulation of the experimental data is done using a computer or a microcomputer. In this way students need not take pain stacking notes, especially for experiments that take a lot of time to collect data, sometimes days or months. Students can concentrate on data processing, on the analysis of the results and arrive at scientific valid conclusions. Our laboratory has set up many remote experiments and has experience of more than 10 years in designing, setting, and servicing remote experiments. Our remote experiments are based on Arduino and readily available sensors and actuators. The aim of the present project is to design and implement a way to make the sensors and the actuators to form an IoT local network so that it will be easier to easily utilize them in different experiments and to build new experiments. The IoT sensors and actuators will be DIY and based on open software. The applicant will program the ESP8266 to receive data from the sensor and transmit the data through MQTT to ThingsBoard. Similarly for an actuator the ESP8266 will receive MQTT data from ThingsBoard. The applicant will prepare five DIY IoT sensors and five actuators. ThingsBoard will provide users with the visual representation of the data and the control of the experimental setup through dashboards. The applicant will prepare five dashboards for five corresponding experiments.<br /> <br /> ====Expected Results====<br /> <br /> At the end of the present GSoC project the open source for five IoT DIY sensors and five actuators will be designed and implemented. Also, five Dashboards on the open source IoT platform ThingsBoard for five corresponding experiments will be designed and implemented. A list of the electronic components, instructions for the assembly and documentation for the software will be prepared.<br /> <br /> <br /> ====Duration of the Project====<br /> Medium Size - 175 hours<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/totheworld2004/DIY-Physics-IoT<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> How to program ESP8266, MQTT to transfer and receive data and design and implement Dashboards on a IoT platform<br /> <br /> ====Mentors====<br /> <br /> Hariton Polatoglou and Panagiotis Koustoumpardis<br /> <br /> <br /> [[Κατηγορία:GSOC2024]]<br /> [[Κατηγορία:GSOC]]</div>

Pkst https://wiki-staging.ellak.gr/index.php?title=Google_Summer_of_Code_2024_proposed_ideas&diff=2280 2024-02-27T07:07:35Z

<p>Pkst: </p> <hr /> <div>Contributors interested to participate should check which of the following projects fits their interests and skills.<br /> <br /> '''Τo communicate with the mentors and ask questions about the projects, students should subscribe to this''' [https://lists.ellak.gr/gsoc-developers/listinfo.html list] '''and post relevant questions. Please follow the [[Proposal Template]]'''<br /> <br /> For practical information, developers should visit this '''[https://summerofcode.withgoogle.com/how-it-works page]'''.<br /> <br /> == EDGAR-CRAWLER: Democratizing accessibility to Financial NLP documents ==<br /> <br /> ==== Brief Explanation ====<br /> Natural Language Processing (NLP) faces big challenges in the field of business and finance since financial text data is often locked behind paywalls, making it hard to get the information we need. This problem highlights why it is so important to automate data collection from free sources, like EDGAR, the U.S. Securities and Exchange Commission's public database. EDGAR contains documents about publicly traded stocks from companies in the U.S., like Microsoft, Google, or Amazon. Our existing software, EDGAR-CRAWLER, tackles this problem by automatically downloading and “cleaning” financial documents, mainly through the use of regular expressions, and then making such data available in an easy-to-use JSON format for NLP pipelines and applications. EDGAR-CRAWLER, with over 190 stars on Github, is the go-to toolkit for making financial data accessible to everyone. However, currently, it is only limited to one type of company filing, the annual reports (10-K filings). By adding support for more types of documents, EDGAR-CRAWLER plans to make financial information even more accessible, playing a vital role in the progress of financial NLP and open data.<br /> <br /> ==== Expected Results. ====<br /> • Extend EDGAR-CRAWLER to fetch more types of US company filings like quarterly reports (10-Q) and current reports (8-K), using string-searching algorithms like regular expressions. • Write documentation for these new features. • Develop unit tests for these new features.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/nlpaueb/edgar-crawler/<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • Proficiency in Python and Software Development • Familiarity with regular expressions and Natural Language Processing (NLP) • Experience in web scraping and data processing (beautifulsoup, pandas). • Interest in Machine Learning (ML) <br /> <br /> ==== Mentors: ====<br /> <br /> Lefteris Loukas, Ion Androutsopoulos<br /> <br /> <br /> == GlossAPI ==<br /> <br /> ====Brief Explanation====<br /> <br /> GlossAPI is an open source project seeking to develop a standard open access corpus of the Greek language, and benchmark it against existing and to-be-developed language models, with the objective of providing an upstream service to the Greek tech community.<br /> The project is named after a portmandeau of the Greek word for &quot;language&quot; and &quot;API&quot; which creates a visual resemblance to the word Glossary in Greek.<br /> This is to express our objective to provide an index of the Greek language via flexible programing interfaces.<br /> <br /> Greek is a language that is under-represented in existing LLMs, while it has a complex history, grammar and writing system. Our trials with existing models have shown lack of syntactic and semantic knowledge of advanced Greek and its nuances, and we have put forth a number of analyses showing that this poses a risk for digital divides, language extinction, and subpar experience for users of public services.<br /> <br /> To our knowledge other LLM projects that tackle the problem of the Greek language are either proprietary, closed code, narrow scope, or otherwise unfit for our purpose which is to provide publicly available, fully open source language models with respect to all code/weights/procedures/data.<br /> We reach out and bring together people that have the expertise, the passion, the collections, or the hardware, to take part in this endeavor, that will help the Greek stratup/tech scene catch up with the rapid developments in downstream applications that are now common place for developers of English language generative models. <br /> <br /> <br /> ====Expected Results====<br /> <br /> The project will result to an Open Source Corpus, representative of the Greek language and its different varieties. At first emphasis will be given to the formal varieties used in government, education and the law. Additionally, we want to represent, in a subsequent training stage, a number of basic knowledge domains to an &quot;undergraduate degree&quot; level. The datasets will be versioned and benchmarked against different models and tokenizers. We also need to develop a sufficient set of evaluation tasks (such as Factual QA - Greek). Finally a couple of foundation models of different architectures will be fitted onto the dataset and the evaluation suite, and published to the community under an open source licence. With these moves we expect to pollinate the Greek tech ecosystem with reliable, inexpensive, and extensible models and datasets, that will help the Greek Open Source AI scence thrive. All data and models will be accompanied by thorough documentation and guides, to ensure replicability and reusability of the results.<br /> <br /> <br /> ====Duration of the Project====<br /> <br /> 350 hrs<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/eellak/glossAPI/<br /> https://github.com/eellak/glossAPI/wiki<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> <br /> Corpus Annotation for Language Models<br /> Quantitative Corpus Linguistics or Natural Language Processing<br /> Python with transformers library, sci-kit learn, numpy, pandas and streamlit, langchain or similar<br /> Mathematical statistics or similar discipline<br /> Django knowledge is good to have<br /> <br /> ====Mentors====<br /> <br /> N. Giallousi, A. Melidis, Greek Free Open Source Software/Hardware Alliance<br /> <br /> <br /> <br /> == Greeklish-to-Greek: Development of an open-source and state-of-the-art toolkit ==<br /> <br /> ==== Brief Explanation ====<br /> Greeklish” is a way of writing Greek with the commonly used Latin alphabet instead of the Greek alphabet (think of “kalimera” instead of “καλημέρα”), and has been widely used by Greek speakers for decades due to early technological limitations in supporting Greek characters. Its ease of use for informal digital communication, such as on forums or in comments, allows for quick language switching without changing any keyboard input, and hides spelling errors. However, Greeklish complicates the development of Natural Language Processing (NLP) tools for the Greek language because Machine Learning (ML) models are trained on standard Greek, not Greeklish. Most existing Greeklish-to-Greek toolkits are limited, rule-based, and closed-source. Our team has researched and developed state-of-the-art Greeklish-to-Greek methods utilizing Transformer NLP models. The purpose of the project is to develop an open-source, user-friendly Python toolkit, based on our existing research so that the community can benefit from it.<br /> The GSOC contributor will work in close collaboration between helvia.ai (https://helvia.ai/) and the AUEB NLP Group (http://nlp.cs.aueb.gr/software.html), leveraging both industrial and academic expertise to tackle these NLP challenges.<br /> <br /> ==== Expected Results ====<br /> • Development of a user-friendly Python wrapper based on our best Greeklish-to-Greek NLP model  • Documentation and unit testing of the library • Development of new methods for Greeklish-to-Greek conversion, utilizing more recent and promising Large Language Models (LLMs), such as Meta’s LLaMA2 or Mistral models<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> While the proposed Greeklish toolkit can be developed independently, it could also be integrated as an extra functionality to the mentors’ affiliated current state-of-the-art Greek NLP toolkit: &lt;nowiki&gt;https://github.com/nlpaueb/gr-nlp-toolkit&lt;/nowiki&gt;<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> • Advanced Python Programming and Software Engineering • Deep Learning for NLP and familiarity with related frameworks (e.g., PyTorch, HuggingFace)<br /> <br /> ==== Mentors: ====<br /> John Pavlopoulos (AUEB), Ion Androutsopoulos (AUEB), Stavros Vassos (helvia.ai), Lefteris Loukas (helvia.ai &amp; AUEB)<br /> <br /> <br /> == Label Buddy 3.0: Automated audio-tagging using transfer learning ==<br /> <br /> ==== Brief Explanation ====<br /> Label Buddy is an open-source audio annotation tool created during GSoC 2021 and extended during GSoC 2022. It aims to make the annotation process easy, and simple with the help of AI Assistance tools and at the same time offers a well-defined manager-annotator-reviewer system. The purpose of this project is to investigate and integrate Multi-Modal Annotation Support in data other than only sound with the use of Large Language Models (LLMs) and Active Learning for Model Improvement on the already existing models.<br /> <br /> ==== Expected Results. ====<br /> 1.) Add OpenAPI support; the ability to upload an OpenApi document and convert it to Flexbench test scenarios (ML can help!) 2.) Anonymization feature for exchanged data in requests and responses (ML can help!) 3.) Aesthetic and UX/UI fixes in desktop app 4.) Fixes to existing bugs 5.) Improve documentation<br /> <br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/eellak/gsoc2022-Label-buddy<br /> <br /> ==== Knowledge Prerequisites ====<br /> Machine Learning (ML) frameworks, Python, Django, VanillaJS, HTML<br /> <br /> ==== Mentors: ====<br /> Pantelis Vikatos, Giannis Prokopiou<br /> <br /> <br /> == Enhancements for Flexbench: OpenAPI Integration and Anonymization using Machine Learning (ML) ==<br /> <br /> ==== Brief Explanation ====<br /> Flexbench is a fully customizable NodeJS application, generating simulated HTTP traffic. It can be used as a standalone script, desktop-app* and server* to simulate traffic with specific characteristics, such as read/write ratio, duration, number of requests to generate, in/out traffic throttling and more.<br /> <br /> It is a forked project from the http-traffic-simulator npm package, which was developed to provide simulated throttled http traffic for stress and load testing purposes, towards specific http endpoints. It utilizes the nodejs cluster module to generate http requests, by spawning multiple workers (balanced over the system cores) in the cluster, responsible to create clients that generate requests. <br /> <br /> &lt;nowiki&gt;*&lt;/nowiki&gt;During the GSoC-2022 period, along with the standalone script version, desktop and server apps were developed, and major fixes were applied.<br /> <br /> ==== Expected Results. ====<br /> 1.) Add OpenAPI support; the ability to upload an OpenApi document and convert it to Flexbench test scenarios (ML can help!) 2.) Anonymization feature for exchanged data in requests and responses (ML can help!) 3.) Aesthetic and UX/UI fixes in desktop app 4.) Fixes to existing bugs 5.) Improve documentation<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> [https://github.com/dspinellis/alexandria3k https://github.com/flexivian/flexbench/tree/develop ,][https://github.com/dspinellis/alexandria3k https://flexivian.github.io/flexbench/]<br /> ==== Knowledge Prerequisites ====<br /> <br /> NodeJS, js, typescript, Html, Css, React, Electron, docker, Machine Learning, OpenAPI <br /> <br /> ==== Mentors: ====<br /> <br /> Ioannis Skitsas (iskitsas@gmail.com), Marios Karagiannopoulos (mariosk@gmail.com)<br /> <br /> == New open data sources for Alexandria3k ==<br /> <br /> ==== Brief Explanation ====<br /> The alexandria3k package supplies a library and a command-line tool providing efficient relational query access to diverse publication open data sets. The largest one is the entire Crossref data set (157 GB compressed, 1 TB uncompressed). This contains publication metadata from about 134 million publications from all major international publishers with full citation data for 60 million of them. Alternatively, works can be selected from the PubMed data set which comprises more than 36 million citations for biomedical literature from MEDLINE, life science journals, and online books, with rich domain-specific metadata, such as MeSH indexing, funding, genetic, and chemical details. In addition, the Crossref and PubMed data sets can be linked with the ORCID summary data set (25 GB compressed, 435 GB uncompressed), containing about 78 million author records, the United States Patent Office issued patents (11 GB compressed, 115 GB uncompressed), containing about 5.4 million records, as well as data sets of funder bodies, journal names, open access journals, and research organizations.<br /> <br /> ==== Expected Results. ====<br /> Implementation of four new data sources added to the eight existing ones<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/dspinellis/alexandria3k<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> Python, SQL, Unix command-line <br /> <br /> ==== Mentors: ====<br /> <br /> Diomidis Spinellis<br /> <br /> == MD-Attractor ==<br /> <br /> ==== Brief Explanation ====<br /> MD-Attractor is an open-source project designed to serve as a unified aggregator for music-related data sourced from various music platforms such as Spotify, Deezer, Apple Music, and more.<br /> <br /> The primary objective of this project is to provide a centralized hub for collecting and analyzing data from diverse media sources, offering users a comprehensive view of diverse music data sources.<br /> <br /> ===== Expected Results. =====<br /> 1. An extension of data sources and usage parameters. 2. Metadata artists and song analysis option. 3  Creation of artist's ego-networks and similarity component.<br /> <br /> ==== Duration of the Project ====<br /> Depending on the proposal<br /> <br /> ==== Related repositories ====<br /> https://github.com/sfendourakis/MD-Attractor<br /> <br /> ==== Knowledge Prerequisites ====<br /> <br /> Python, APIs, Visualization <br /> <br /> ==== Mentors: ====<br /> <br /> Panagiotis Sfendourakis, Elektra Bilali Simou<br /> <br /> <br /> == Exploring and Abstracting Triplestore Alternatives ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to explore, analyze, and abstract various triplestore alternatives. The project aims to provide young programmers with a comprehensive understanding of different back-end alternatives that allow for storing data in triple format, commonly known as triplestores.<br /> <br /> ==== Background ====<br /> Triplestores are a type of database specialized in storing triples, a data structure for representing information in a subject-predicate-object format. They are crucial in semantic web technologies, such as RDF, SPARQL, and OWL. However, there are numerous triplestore alternatives available, each with its own strengths and weaknesses.<br /> <br /> ==== Project Description ====<br /> This project will involve a detailed exploration of various triplestore alternatives. The participants will perform rudimentary tests and benchmarks on these alternatives to understand their performance, scalability, and other key features.<br /> <br /> The ultimate goal is to develop a library that can act as an abstraction layer for these triplestore alternatives. This library will &quot;hide&quot; the underlying implementation, allowing developers to switch between different triplestores without changing their application code. This abstraction layer can be compared to a library abstracting various specific relational database management systems, all providing very similar functionality, like supporting SQL.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Identify and study various triplestore alternatives. Understand their architecture, features, and limitations.<br /> <br /> ''Testing:'' Perform rudimentary tests and benchmarks on the identified triplestore alternatives.<br /> <br /> ''Analysis:'' Analyze the test results to understand the performance and scalability of each alternative.<br /> <br /> ''Development:'' Develop an abstraction layer that can interface with the various triplestore alternatives.<br /> <br /> ''Documentation:'' Document the findings and the usage of the developed library.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a well-documented library that can act as an abstraction layer for various triplestore alternatives. This will provide developers with the flexibility to choose the most suitable triplestore for their specific needs without having to modify their application code.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the understanding of participants about triplestore alternatives but also equip them with the skills to develop an abstraction layer, thereby broadening their programming skills and knowledge.<br /> <br /> ==== Duration of the Project ====<br /> Long (350 hours)<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://en.wikipedia.org/wiki/Triplestore Triplestore]<br /> - [https://en.wikipedia.org/wiki/Semantic_triple Triples]<br /> - [https://en.wikipedia.org/wiki/SPARQL Query language]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python (mandatory). Other programming languages like C, Go, Rust, Java, might prove useful.<br /> <br /> ==== Mentors: ====<br /> Alexios Zavras, TBD<br /> <br /> <br /> == Font Validator: A System for Quality Control of Digital Typefaces Containing Greek Characters ==<br /> <br /> ==== Brief Explanation ====<br /> <br /> ==== Objective ====<br /> The primary objective of this project is to develop a comprehensive set of tests for quality control on digital typefaces, with a particular focus on Greek characters. The project aims to ensure the consistency of typeface design, especially in terms of height, shape, composites, ascenders, descenders, spacing, and kerning between Latin and Greek characters.<br /> <br /> ==== Background ====<br /> Digital typefaces play a crucial role in the readability and aesthetics of digital content. However, inconsistencies in typeface design, especially between different scripts like Latin and Greek, can lead to visual discomfort and confusion. Quality control in digital typefaces is therefore essential to ensure a consistent and pleasant reading experience.<br /> <br /> ==== Project Description ====<br /> This project will involve the development of a series of tests using Font Bakery or a similar tool. These tests will compare the height and shape of similarly shaped Latin and Greek letters, such as Latin A and Greek Alpha.<br /> <br /> Further tests will be performed on composites, ascenders, descenders, spacing, and kerning between Latin and Greek characters. The goal is to identify any inconsistencies and provide recommendations for improvements.<br /> <br /> ==== Methodology ====<br /> <br /> ''Research:'' Study the design principles of Latin and Greek typefaces. Identify the key parameters for comparison, such as height, shape, composites, ascenders, descenders, spacing, and kerning.<br /> <br /> ''Test Development:'' Develop a series of tests using Font Bakery or a similar tool. These tests should be able to compare the identified parameters between Latin and Greek characters.<br /> <br /> ''Testing:'' Perform the developed tests on a variety of digital typefaces.<br /> <br /> ''Analysis:'' Analyze the test results to identify any inconsistencies in the design of Latin and Greek characters.<br /> <br /> ''Recommendations:'' Based on the analysis, provide recommendations for improving the consistency of typeface design.<br /> <br /> ''Documentation:'' Document the findings, the developed tests, and the recommendations.<br /> <br /> ==== Expected Outcome ====<br /> By the end of the project, we expect to have a comprehensive set of tests for quality control on digital typefaces, especially for Greek characters. These tests will help typeface designers and developers ensure the consistency of their designs, thereby improving the readability and aesthetics of digital content.<br /> <br /> ==== Conclusion ====<br /> This project will not only enhance the quality of digital typefaces but also contribute to the body of knowledge in the field of typeface design. It will provide valuable insights into the design principles of Latin and Greek characters and help ensure their consistency in digital typefaces.<br /> <br /> ==== Duration of the Project ====<br /> Can be either short (175 hours) or long (350 hours), depending on the agreed-upon scope.<br /> <br /> ==== Related repositories ====<br /> New project, no existing repo available.<br /> <br /> ==== Information links ====<br /> - [https://font-bakery.readthedocs.io/en/latest/ Font Bakery documentation]<br /> - [https://github.com/fonttools/fontbakery Font Bakery source repo]<br /> <br /> ==== Knowledge Prerequisites ====<br /> Python, font technologies, understanding of Greek characters<br /> <br /> ==== Mentors: ====<br /> Irene Vlachou, Emilios Theofanous, Alexios Zavras<br /> <br /> <br /> == Development and Enhancement of the Cloud-Based FOSSBot Platform ==<br /> <br /> ==== Brief Explanation ====<br /> The evolution of the DIY robot kit for educators, initiated in GSoC 2019 with Christos Chronis, has significantly progressed over the years, culminating in a 3D printable, modular, and low-cost educational robot. Over the last five years, contributors from GSOC and the open source community have enriched this project with a programming stack compatible with Google Blockly, native Python through Monaco, and a Docker-based deployment system. At the same time, the initial DIY robot kit from GSOC 2019 transformed into the FOSSBot, and more educators understand and use this open-source solution to teach STEM.<br /> <br /> For GSoC 2023, the focus was on shifting the programming stack to the cloud, addressing issues like connectivity, updates, and the rising costs of Single Board Computers. Another notable addition was the web-based simulator, which allowed educators to test and use the robot virtually, reducing cost barriers and hardware requirements. In the following months, the platform will be available to all through the infrastructure of GFOSS, and at the same time, organized workshops will help make more people aware of the robot. Finally, in the last two years, two scientific publications were released, and the project started to attract the interest of the academic community.<br /> <br /> GSoC 2024 Objectives<br /> <br /> In 2024, our goal is to further enhance this cloud-based platform by:<br /> <br /> Performance Optimization: Improving both front-end and back-end performance for a seamless user experience.<br /> Development of Cooperative Modes: Enabling multiple robots to interact and collaborate in shared tasks or scenarios, fostering teamwork and advanced programming skills.<br /> Educator's Content Creation and Upload System: Developing a system where educators can create, share, and upload educational material, facilitating a dynamic and evolving educational environment.<br /> Custom Scene Creation for Godot Simulator: Integrating an interface for creating new, customized scenes in the existing Godot-based simulator, enabling tailored educational experiences.<br /> Platform Support for Physical Hardware: Introducing programming support for physical devices like the FOSSBot, Arduino, and MicroPython-supported microcontrollers, broadening the scope of practical applications and hands-on learning.<br /> Continuous Integration and Deployment (CI/CD) Enhancements: Streamlining updates and maintenance through advanced GitHub automation and cloud deployment strategies.<br /> Extensive Documentation: Ensuring comprehensive documentation to facilitate ease of use and adaptability for educators and developers.<br /> <br /> ==== Expected Results. ====<br /> A robust, cloud-based platform offering a wide range of educational and programming possibilities.<br /> Enhanced user experience with improved performance and new features.<br /> Greater accessibility and cost-effectiveness for educators worldwide.<br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> <br /> ==== Related repositories ==== <br /> https://github.com/eellak/gsoc2019-diyrobot<br /> https://github.com/eellak/fossbot<br /> https://github.com/chronis10/fossbot-app<br /> https://github.com/eellak/fossbot-platform<br /> https://github.com/eellak/fossbot-source<br /> https://github.com/eellak/fossbot-web-simulator<br /> <br /> ==== Knowledge Prerequisites ====<br /> React.js<br /> Python<br /> Flask API / FastAPI<br /> SQLAlchemy<br /> Godot (not mandatory)<br /> JavaScript<br /> Docker<br /> Git<br /> <br /> ==== Related publications ==== <br /> Chronis C., &amp; Varlamis I. (2022). FOSSBot: An Open Source and Open Design Educational Robot. Electronics, 11(16), 2606. https://www.mdpi.com/2079-9292/11/16/2606<br /> Kazazis G., Chronis C., Diou C. &amp; Varlamis I. Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot, Pan-Hellenic Conference on Progress in Computing and Informatics, ACM 2023 (Under Publication) <br /> <br /> <br /> ==== Mentors: ====<br /> Christos Chronis, Iraklis Varlamis<br /> <br /> <br /> <br /> == Enabling Apothesis to support atomic layer deposition and etching processes ==<br /> <br /> ==== Brief Explanation ====<br /> Αpothesis is an open source software for designing, simulating and analyzing deposition processes. It is based on Kinetic Monte Carlo method and its two main components are the lattice (simple cubic, HPC etc) where particular processes (adsorption, desorption, surface rection and diffusion) are performed. Up until now Apothesis has been used in various applications (see for example https://iopscience.iop.org/article/10.1088/1361-651X/ace276/meta). However, there is a lack of generalized software for atomic layer deposition/etching (ALD/ALE) processes. ALD/ALE are based on pulses performing over sequentially over a certain period of time (see https://www.frontiersin.org/articles/10.3389/fphy.2021.631918/full for more details). That said, the purpose of this project is to enable Apothesis to handle ALD/ALE cases. For that, there various parts of Apothesis that need to be changed with the most basic being: <br /> 1. Enabling Apothesis to read the lattice from a file. Thus creating a generalized reader for hard copy lattices. <br /> 2. Creating the sequentially calls to simulate ALD/ALE processes. <br /> 3. Design the output of the ALD/ALE process. <br /> <br /> <br /> ==== Expected Results. ====<br /> The results from a simple case of ALD in a simple cubic lattice. <br /> <br /> <br /> ==== Duration of the Project ====<br /> (350 hours).<br /> <br /> ==== Related repositories ====<br /> https://github.com/nixeimar/Apothesis<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, desing patters (factory pattern) and basic physics in deposition processes <br /> <br /> ==== Mentors: ====<br /> Cheimarios Nikolaos, Vissarion Fysikopoulos <br /> <br /> <br /> <br /> == eCodeOrama, an educational interactive flow visualization tool for mit scratch programs ==<br /> <br /> ==== Brief Explanation ====<br /> The project will create a interactive tool to extract, visualize graphically and edit (to improve the presentation of) the layout of the flow of code in blocks / scripts in a mit scratch program and their interaction with any messages or other external events. The tool will use rules to decide on many layout parameters (e.g. the position of the code blocks in the layout, the colors used, etc) but the user will be able to overwrite the default choices. The presentation will be compatible with the codeOrama code layout specification.<br /> The tool will also promote code understanding, especially to young students that use scratch, and will include debugging aids.<br /> The students can use this flow to better visualize and understand their program, to explain it to others, to debug it and to design extensions and modifications.<br /> <br /> <br /> ==== Expected Results ====<br /> A tool to visualize and edit the layout of the event based script flow of a scratch program, keeping it compatible with the codeOrama code layout specification.<br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> git@github.com:sarantos40/eCodeOrama.git<br /> <br /> ==== Knowledge Prerequisites ====<br /> python, mit scratch, gui development<br /> <br /> ==== Mentors: ====<br /> Sarantos Kapidakis (sarantos.kapidakis@gmail.com), Chrysovalantis Sfyrakis<br /> <br /> <br /> == Enhancement of SmAuto DSL and integration into HomeAssistant ==<br /> <br /> ==== Brief Explanation ====<br /> Smart environments are becoming quite popular in the home setting consisting of a broad range of connected devices. While offering a novel set of possibilities, this also contributes to the complexity of the environment, posing new challenges to allowing the full potential of a sensorized home to be made available to users. SmAuto is a Domain Specific Language (DSL) that enables users to program complex automation scenarios, for connected IoT devices in smart environments, that go beyond simple tasks. SmAuto lacks extra features like invocation of REST/MQTT services, time delays etc., thus it should be expanded towards this direction. Furthermore, HomeAssistant would benefit from the integration of a DSL like SMAuto for rapidly developing and deploying automations, using the entities existing in a smart environment.<br /> ==== Expected Results ====<br /> In the context of this project, we desire to expand the SmAuto DSL with the following features: a) adding virtual entities, like REST calls and MQTT RPCs, so as for the automations to be able to access information from external services, b) incorporate auxiliary concepts like Delay, Conditions/Switches, or Compute nodes and c) generalize the language’s Condition concept. Furthermore, the integration of SmAuto and HomeAssistant should occur, by creating a new open-source HA plugin, where each user can declare SmAuto automations and deploy them locally in HA.<br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> https://github.com/robotics-4-all/smauto, https://www.home-assistant.io/<br /> <br /> ==== Knowledge Prerequisites ====<br /> Required: Python, Software engineering, IoT concepts, Unix/Linux. Desired: Model Driven Engineering, HomeAssistant, Docker<br /> <br /> <br /> ==== Mentors: ====<br /> Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas Symeonidis<br /> <br /> == Creating a factory pattern for handling lattices in Apothesis. ==<br /> <br /> ==== Brief Explanation ====<br /> Apothesis is a generalized software for designing, simulating and analyzing deposition processes. It is based on the kinetic Monte Carlo method. That said, it consists of two main components; a lattice (e.g. simple cubic, HPC etc) and the processes (adsorption, desorption, diffusion and surface reactions) performed in this lattice. Currently, the lattices are hard coded inside Apothesis making it difficult to add new ones easily. This proposal is focuses on creating a factory pattern which be used as a guide for adding lattices in Apothesis. Then this will be used to incorporate 2D lattices (like graphene) inside Apothesis.<br /> <br /> ==== Expected Results ====<br /> The factory pattern source code and a simple example for incorporating a graphene lattice. <br /> <br /> ==== Duration of the Project ====<br /> 350 hours<br /> <br /> ==== Related repositories ====<br /> https://github.com/nixeimar/Apothesis<br /> <br /> ==== Knowledge Prerequisites ====<br /> C++, design (factory pattern)<br /> <br /> <br /> ==== Mentors: ====<br /> Nikolaos Cheimarios, Christina-Anna Gatsiou <br /> <br /> <br /> == MyUni ==<br /> <br /> ==== Brief Explanation ====<br /> Currently there is a University App called MyUoM for Greek universities in https://my.uom.gr/ (followed by an effort in University of West Attica, https://iam.uniwa.gr/. This app is official but it lacks features(e.g. login) and a proper backend with an architecture that will allow different implementations for Universities. In this project we want to add a CMS for info that is changing frequently and a backend that fetches realtime info from the official websites. We want to unify those efforts and make it easier for other universities to join.<br /> <br /> <br /> <br /> ==== Expected Results. ====<br /> 1. We want to add Sanity CMS(https://www.sanity.io/) for data changing frequently. 2. Setup a backend that fetches information from official sources and static information(e.g. map images) to make the frontend lighter. 3. Rewrite in Typescript for maintainability<br /> <br /> Whoever is interested in talking with the initial core contributors can also find us on https://my.uom.gr/about and https://opensource.uom.gr to join our discord and follow us on social media.<br /> <br /> <br /> ==== Duration of the Project ====<br /> Depending on the scope<br /> <br /> ==== Related repositories ====<br /> https://github.com/Open-Source-UoM/MyUoM<br /> <br /> ==== Knowledge Prerequisites ====<br /> React.js, Java(Spring Boot),Typescript, Next.js(Optional)<br /> <br /> <br /> ==== Mentors: ====<br /> Anastasios Tsalmas tsalmanastasios@gmail.com<br /> <br /> == DIY IoT Physics Experiments for education ==<br /> <br /> ====Brief Explanation====<br /> <br /> Remote physics experiments for students in all the educational levels are the second best to hands on experiments. Especially for students who temporarily cannot attend school or in cases like the Covid-19 and the lockdowns. In many practical cases they are the only alternative, as they are available 24/7, they can involve dangerous materials or conditions, they can be accessed from anywhere and any device, they require less maintenance, have lower cost, can be easily modified, or arranged to perform another experiment, and are less probable to be damaged. They are in line with the modern way of performing experiments, as it is desirable to have as less as possible direct contact with the experiments and use them on-line. Examples include on-line telescopes and electronic microscopes. This is possible due to the automation; data acquisition and manipulation of the experimental data is done using a computer or a microcomputer. In this way students need not take pain stacking notes, especially for experiments that take a lot of time to collect data, sometimes days or months. Students can concentrate on data processing, on the analysis of the results and arrive at scientific valid conclusions. Our laboratory has set up many remote experiments and has experience of more than 10 years in designing, setting, and servicing remote experiments. Our remote experiments are based on Arduino and readily available sensors and actuators. The aim of the present project is to design and implement a way to make the sensors and the actuators to form an IoT local network so that it will be easier to easily utilize them in different experiments and to build new experiments. The IoT sensors and actuators will be DIY and based on open software. The applicant will program the ESP8266 to receive data from the sensor and transmit the data through MQTT to ThingsBoard. Similarly for an actuator the ESP8266 will receive MQTT data from ThingsBoard. The applicant will prepare five DIY IoT sensors and five actuators. ThingsBoard will provide users with the visual representation of the data and the control of the experimental setup through dashboards. The applicant will prepare five dashboards for five corresponding experiments.<br /> <br /> ====Expected Results====<br /> <br /> At the end of the present GSoC project the open source for five IoT DIY sensors and five actuators will be designed and implemented. Also, five Dashboards on the open source IoT platform ThingsBoard for five corresponding experiments will be designed and implemented. A list of the electronic components, instructions for the assembly and documentation for the software will be prepared.<br /> <br /> <br /> ====Duration of the Project====<br /> Medium Size - 175 hours<br /> <br /> ====Related Repositories====<br /> <br /> https://github.com/totheworld2004/DIY-Physics-IoT<br /> <br /> <br /> ====Knowledge Prerequisites====<br /> How to program ESP8266, MQTT to transfer and receive data and design and implement Dashboards on a IoT platform<br /> <br /> ====Mentors====<br /> <br /> Hariton Polatoglou and Panagiotis Koustoumpardis<br /> <br /> <br /> [[Κατηγορία:GSOC2024]]<br /> [[Κατηγορία:GSOC]]</div>

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