DIRECTORY
Filter by stack, capacity and track record. Every number comes from Google's public archive.
AboutCode.org is a community of open source developers who are trying to make open source easier to use by providing open source tools to discover, identify and track open source components (aka. Software Composition Analysis – SCA). This includes tools, data and standards for code origin, FOSS licenses and security vulnerabilities.
We are an Australian not-for-profit charity, founded in 2016, that serves as an umbrella organization for open-source projects. We believe the open-source philosophy is a resource-efficient approach to transfer knowledge, educate and innovate.
Blender is a free and open source 3D creation suite, providing individuals and small teams a complete pipeline for 3D graphics, modeling, animation and games.
<p>This is the place to be if you love computer graphics. We do 2D/3D modeling, 3D printing, solid geometry, design, and more. Depending on the project, you have the opportunity to work with C/C++, Python, OpenGL, OpenCL, Qt, Javascript, and more... Help us develop open source computer-aided technologies (CAx)!</p> <br> <p>We operates as an umbrella organization with several CAx communities including:</p> <br> <ul> <li> - OpenSCAD is a solid 3D modeler with a rich syntax for programmable geometry. <li> - LibreCAD is a 2D modeling system specializing in blueprint-style drawings and draftings. <li> - IfcOpenShell is a library for working with standard IFC building model data. <li> - BRL-CAD is a solid modeling suite with conversion and advanced solid ray tracing features. <li> - Manifold is a solid geometry mesh processing library. </ul> <br> <p>We want to select at least one student for each, so feel free to ask us where to start.</p> <br> <a href="https://opencax.github.io"><img src="https://summerofcode.withgoogle.com/media/org/brl-cad/4ec07aqdfrvygfed-360.png"></a>
The cBioPortal for Cancer Genomics is a resource designed to provide broad community access to cancer genomic data. It provides a unique user-friendly and "biology-centric computational user interface", with the goal of making genomic data more easily accessible to translational scientists, biologists, and clinicians. The interface was explicitly built and continues to evolve with careful usability studies involving multiple biological and clinical users, and an active and engaged user base.
CERN-HSF (High-Energy Physics Software Foundation) is the umbrella organization for high-energy physics-related projects in GSoC. The HEP Software Foundation (http://hepsoftwarefoundation.org/) facilitates the coordination of common international efforts in high-energy physics software and computing.
CircuitVerse is an easy to use digital logic circuit simulator which aims at providing a platform to create, share and learn digital circuits. It can run on almost any device without the need for installing any software. The platform has been designed for use by students, professionals and hobbyists alike. The vision is to develop a community around the platform that will aid students to self-learn digital logic design. The platform is currently used by several universities worldwide. Apart from the simulator, users can create, learn, collaborate and share their work. Teachers can create groups and host assignments on the platform. The platform’s impact has been more evident than ever in the Covid 19 pandemic as CircuitVerse enabled schools and colleges to move their courses online.
The Cuneiform Digital Library Initiative (CDLI) is a global collaboration of Assyriologists, museum curators, and historians working together to make the world’s earliest written records accessible online. CDLI focuses on cuneiform inscriptions dating back to the very beginning of writing around 3350 BC. Today, more than 500,000 such artifacts are held in museums and private collections worldwide, and CDLI has already digitally catalogued over 350,000 of them, helping researchers and the public explore humanity’s oldest written heritage.
DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. It allows for a global and unified access to Knowledge Graphs.
FOSSASIA is an organization developing Open Source software applications and Open Hardware together with a global community from its base in Asia. It is our goal to provide access to open technologies, science applications and knowledge that improve people's lives. We want to enable people to adapt and change technology according to their own ideas and needs and validate science and knowledge through an Open Access approach. FOSSASIA was established 2009 by Hong Phuc Dang and Mario Behling. We organize and participate in conferences, meetups and code camps. The annual FOSSASIA Summit is one of the top tech events in Asia. Other summits take place in Vietnam, Cambodia, Thailand and India. FOSSASIA also runs a number of coding programs such as Codeheat. Please join us and start contributing to our projects, participate as a coder, designer, hardware developer or event organizer.
The FOSSi (Free and Open Source Silicon) Foundation is a not-for-profit organization with the support the growing community of open source silicon hardware. We do this with a variety of activities and through Google Summer of Code we bring together enthusiastic mentees and outstanding projects. Under our umbrella are open source silicon hardware projects, operating systems and compilers for such projects, tools for electronic design automation and the related ecosystem.
EMBL-EBI is a global centre for biological data, developing and maintaining open data resources and open-source software that support life science research worldwide. Our services are used daily by researchers across academia, healthcare, and industry, and span genomics, transcriptomics, metagenomics, molecular interactions, chemistry, and functional annotation.
German Center for Open Source AI (GC.OS) builds open source AI software and a sovereign tech stack that is democratically run by its users. For a list of our supported projects, please visit: https://gcos.ai/projects.
Machine learning and Artificial Intelligence techniques can be broadly applicable and transferable across many domains. The goals of HumanAI projects are to grow the open-source community in machine learning for the domains of the Arts, Social Sciences and Humanities in addressing various important societal challenges and introducing and transferring the knowledge and tools of machine learning across these disciplines.
The International Neuroinformatics Coordinating Facility (INCF; www.incf.org) is an international organization launched in 2005, following a proposal from the Global Science Forum of the OECD.
JBoss Community is a community of open source projects. The community hosts a diverse set of projects that are written in various programming languages. The primary language is Java, however there are also projects that are written in Go, Rust, Ruby, PHP, Node and other languages.
Kornia AI is a non-profit organization advancing Spatial Artificial Intelligence through open collaboration. Founded in 2018 and registered as a non-profit in 2023, Kornia AI is supported by a global contributor community. The organization began with Kornia, a widely adopted Python library for Differentiable Computer Vision (>2M downloads/month, 400+ Google Scholar citations). In recent years, the core maintainers have shifted focus to kornia-rs, a native Rust stack for high‑performance 3D computer vision and spatial AI. Our direction emphasizes robotics and edge deployment: safe, memory‑efficient, low‑latency pipelines that run on constrained devices (e.g., embedded/Jetson‑class hardware). kornia-rs is gaining traction in the open-source community and is used by leading companies such as Farm-ng, Rerun.io, and Copper Robotics, who have featured the project on their platforms.
Our goal is to streamline the process of scaling and deploying machine learning (ML) models to production by leveraging Kubernetes' strengths: <br /><br /> - Seamless deployments: Effortless, repeatable, and portable deployments across diverse infrastructure, allowing you to experiment on local machines and then seamlessly transition to on-premises clusters or the cloud. <br /><br /> - Microservice management: Efficient deployment and management of loosely-coupled microservices for building modular and scalable ML pipelines. <br /><br /> - Dynamic scaling: Automated scaling based on demand, ensuring optimal resource utilization. <br /><br /> User-centric design: Recognizing the diverse tool preferences within the ML community, we prioritize user customization (within reasonable boundaries). Our system takes care of the repetitive tasks, freeing users to focus on the core ML challenges. <br /><br /> Starting focused, expanding rapidly: While we initially focused on specific technologies, we actively collaborate with various projects to integrate additional tools and broaden our reach. <br /><br /> Our vision: A future where simple manifests empower you to utilize a user-friendly ML stack anywhere Kubernetes runs, with self-configuration capabilities based on the deployment environment.
Liquid Galaxy is a remarkable panoramic system that is tremendously compelling. It started off as a Google 20% project to run Google Earth across a small cluster of PC's and it has grown from there! Liquid Galaxy hardware consists of one or more computers driving multiple displays. Liquid Galaxy applications have been developed using a master/slave architecture. The view orientation of each slave display is configured in reference to the view of the master display. Navigation on the system is done from the master instance and the location on the master is broadcast to the slaves over UDP. The slave instances, knowing their own locations in reference to the master, then change their views accordingly. The Liquid Galaxy Project, while making use of Google Earth software, does not develop the Google Earth code-base itself. Google Earth is not open-source software, although it is free (as in beer). Instead, the Liquid Galaxy Project works on extending the Liquid Galaxy system with open-source software both improving its administration and enabling open-source applications, so that content of various types can be displayed in the immersive panoramic environment. Artificial Intelligence focus: 2026 is the year when AI is going to change the coding industry, and GSoC and the open-source projects on it, have to jump on. At the Liquid Galaxy community, we’ve been using AI for years to obtain data to be shown on Google Earth for our projects, using many models and technologies. This 2026, all the projects will have an Artificial Intelligence voice, and most of them will use of diferent AI models to handle queries and arrange data, starting from Google's Gemini and Gemma.
Machine Learning for Science (ML4SCI) is an umbrella organization for machine learning-related projects in science. ML4SCI brings together researchers from universities and scientific laboratories with motivated students to join existing scientific collaborations and contribute to cutting edge science projects across a wide variety of disciplines. Students work on existing problems to develop new machine learning-based approaches and produce open source code that directly contributes to solving these scientific challenges.
MalariaGEN is a global network of global partners who share and integrate data relevant to inform malaria surveillance, our mission is to generate insights and tools that bridge the gaps for analysts in malaria endemic settings to use their data meaningfully to inform public health efforts. We build and optimise data resources and analytical tools to run directly in the cloud. Our flagship project is the Vector Observatory, which includes whole-genome sequence data for over 30,000 mosquitoes, integrating data from 70 partners across the globe from over 17 different mosquito species -- this is the largest resource on genetic variation data for any multicellular organism (other than humans!). Our goal is to enable analysts, scientists, students and public health practitioners to access these data without the need for any dedicated compute infrastructure, by optimising our resources to run within free compute environments (a big shout to Google Colab!) and by developing training resources that support partners to get confident with using cloud-native data and resources for their analysis.
MDAnalysis is a Python library for the analysis of computer simulations of many-body systems at the molecular scale, spanning use cases from interactions of drugs with proteins to novel materials. It is written by scientists for scientists and is used for cutting edge research in biophysics, chemistry, soft-matter physics, and materials research around the world in academia and national research labs. MDAnalysis strives to be highly interoperable and hence a growing number of projects use MDAnalysis as their foundational library or integrate it.
The MetaBrainz Foundation is a non-profit that believes in free, open access to data. It has been set up to build community maintained databases and make them available in the public domain or under Creative Commons licenses.
Metaflow is a human-friendly Python library that makes it straightforward to develop, deploy, and operate various kinds of data-intensive applications, in particular those involving data science, ML, and AI. Metaflow was originally developed at Netflix to boost the productivity of data scientists who work on a wide variety of projects, from classical statistics to state-of-the-art deep learning.
Contributor counts are accepted projects per cycle.
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