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522 organizations since 2016

Filter by stack, capacity and track record. Every number comes from Google's public archive.

Since 2016 522GSoC 2026 183
AllEvery cycle since 201640First time in 202617Ten or more contributors27Growing in 202613Back after a break22

Showing 1–24 of 43 organizations

Machine learningPythonJavaData visualizationData scienceClear all

  • BRL-CAD

    Media

    <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>

    2026
    8
    Cycles
    11
    Projects
    81
    Trend
    PythonCC++OpenGL+7

  • caMicroscope

    Science and medicine

    Toolkit for cancer imaging research

    2026
    –
    Cycles
    4
    Projects
    13
    Trend
    PythonJavaScriptJavaTensorFlow+4

  • cBioPortal for Cancer Genomics

    Science and medicine

    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.

    2026
    5
    Cycles
    8
    Projects
    43
    Trend
    JavaScriptJavaWebHTML+8

  • CHAOSS

    Data

    Community Health Analytics Open Source Software

    2026
    –
    Cycles
    6
    Projects
    29
    Trend
    JavaScriptPython 3PythonMySQL+12

  • Cuneiform Digital Library Initiative (CDLI)

    Science and medicine

    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.

    2026
    4
    Cycles
    6
    Projects
    34
    Trend
    PythonMariaDBRDFPHP+9

  • DBpedia

    Data

    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.

    2026
    5
    Cycles
    11
    Projects
    66
    Trend
    PythonJavaScalaRDF+6

  • Earth Science Information Partners

    Science and medicine

    Supporting community development of visionary Earth science data technology.

    2026
    –
    Cycles
    2
    Projects
    4
    Trend
    PythonJavaScriptKubernetesDask+4

  • Elastic

    Data

    We are the creators of Elasticsearch, Kibana, Beats, and Logstash.

    2026
    –
    Cycles
    2
    Projects
    4
    Trend
    JavaReactNode.jsGo+1

  • Genes, Genomes and Variation

    Science and medicine

    Authoritative databases of genome sequences and their function

    2026
    –
    Cycles
    4
    Projects
    12
    Trend
    MySQLJavaScriptPerlPython+1

  • Genome Assembly and Annotation

    Science and medicine

    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.

    2026
    7
    Cycles
    4
    Projects
    21
    Trend
    PythonMySQLJavaScriptRust+3

  • GeomScale

    Science and medicine

    GeomScale is a research and development project that delivers open source code for state-of-the-art algorithms for problems at the intersection of data science, optimization, geometric, and statistical computing. The current focus of GeomScale is on scalable algorithms for sampling from high-dimensional distributions, integration, convex optimization, and their applications. One of our ambitions is to fill the gap between theory and practice by turning state-of-the-art theoretical tools in geometry and optimization to state-of-the-art implementations. Towards this goal, we will deliver various innovative solutions in a variety of application fields, like finance, computational biology, and statistics that will extend the limits of contemporary computational tools. GeomScale aims in serving as a building block for an international, interdisciplinary, and open community in high dimensional geometrical and statistical computing. The main development is currently performed in volesti, a generic open source C++ library, with R and python interfaces (the latter is hosted in package dingo), for high-dimensional sampling, volume approximation, and copula estimation for financial modelling. In particular, the current implementation scales up to hundred or thousand dimensions, depending on the problem. To our knowledge it is the most efficient software package for sampling and volume computation to date. It is, in several cases, orders of magnitude faster compared to packages that solve the same problems. It can be used to compute challenging multivariate integrals and to approximate optimal solutions in optimization problems. It has already found important applications in systems biology by analyzing large metabolic networks (e.g., the latest human network) and in FinTech by detecting shock events and by evaluating portfolios performance in stock markets with thousands of assets. Other application areas include AI and in particular approximate weighted model integration. Recent studies has shown a potential application of volesti methods in trustworthy AI, static analysis of programs and differential privacy.

    2026
    4
    Cycles
    7
    Projects
    34
    Trend
    PythonC++RJupyter+1

  • INCF

    Science and medicine

    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.

    2026
    23
    Cycles
    11
    Projects
    234
    Trend
    PythonJavaScriptJavaC+++6

  • InterMine

    Science and medicine

    Integrating biological data sources, making it easy to query and analyse data

    2026
    –
    Cycles
    2
    Projects
    12
    Trend
    PythonPostgreSQLJavaScriptJava+2

  • IOOS

    Science and medicine

    U.S. IOOS is a national and regional partnership working to provide ocean, coastal and Great Lakes observations, data, tools, and forecasts to improve safety, enhance the economy, and protect our environment. Our primary purpose is to provide free and open data about the state of our oceans and Great Lakes to our users. These data are fundamental to understanding the health of our marine ecosystems, to monitor the climate signal as captured in oceanographic conditions, and to provide predictions about the future state of our oceans and coasts.

    2026
    7
    Cycles
    5
    Projects
    29
    Trend
    PythonBig Data ScienceOcean TechnologyOcean Science+4

  • KNIME

    Data

    Open for Innovation

    2026
    –
    Cycles
    1
    Projects
    2
    Trend
    JavaScriptJavaTensorFlow

  • Liquid Galaxy project

    Data

    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.

    2026
    11
    Cycles
    10
    Projects
    86
    Trend
    JavaScriptROSGISCesium+14

  • Metaflow

    Infrastructure and cloudNew in 2026

    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.

    2026
    2
    Cycles
    1
    Projects
    2
    Trend
    PythonJavaScriptKubernetes

  • mlpack

    Science and medicine

    a fast, flexible machine learning library

    2026
    –
    Cycles
    9
    Projects
    60
    Trend
    C++PythonMachine learningDeep Learning+3

  • MZmine and MS-DIAL

    Science and medicine

    Open-source software for mass spectrometry

    2026
    –
    Cycles
    1
    Projects
    2
    Trend
    JavaC#JavaFX

  • National Resource for Network Biology (NRNB)

    Science and medicine

    The National Resource for Network Biology (NRNB, https://nrnb.org) organizes the development of free, open-source software technologies to enable network-based visualization, analysis, and biomedical discovery. Biomedical research is increasingly dependent on knowledge expressed in terms of networks, including gene, protein and drug interactions, cell-cell and viral-host communication, and vast social networks. Our technologies enable researchers to assemble and analyze these networks and to use them to better understand biological systems and, in particular, how they fail in disease. The NRNB mentoring organization includes projects such as Cytoscape (https://cytoscape.org/), WikiPathways (https://wikipathways.org/), SBML (https://sbml.org/), SBGN (https://sbgn.github.io/) and others. This is a great opportunity to work at the intersection of biology and computing! For example, Cytoscape is downloaded over 24,000 times per month by researchers. We take mentoring seriously and are proud of our 96% success rate (https://nrnb.org/alumni.html#gsoc-tab) with former students and projects. But don’t take our word for it, read testimonials from prior NRNB students (https://nrnb.org/testimonials.html#student-tab) and mentors (https://nrnb.org/testimonials.html#mentor-tab). Find out more about the software projects being developed in coordination with NRNB at our website (https://nrnb.org). Also refer to our GSoC page (https://nrnb.org/gsoc.html) for additional resources and application tips.

    2026
    7
    Cycles
    11
    Projects
    126
    Trend
    PythonJavaScriptJavaC+++10

Contributor counts are accepted projects per cycle.

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