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DIRECTORY

522 organizations since 2016

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

Showing 1–24 of 44 organizations

  • appleseed

    Media

    A modern open source rendering engine for animation and visual effects

    2026
    –
    Cycles
    4
    Projects
    11
    Trend
    PythonC++QtC+2
  • ASCEND

    Science and medicine

    Equation-solving software for engineering system modelling

    2026
    –
    Cycles
    1
    Projects
    3
    Trend
    CPythonC++
  • Blender Foundation

    End user applications

    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.

    2026
    8
    Cycles
    11
    Projects
    72
    Trend
    CPythonOpenGLC+++2
  • 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
  • Free and Open Source Silicon Foundation

    Other

    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.

    2026
    5
    Cycles
    11
    Projects
    65
    Trend
    PythonJavaScriptFPGACompiler+10
  • 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
  • MBDyn

    Science and medicine

    Open Source Multibody Simulation

    2026
    –
    Cycles
    8
    Projects
    13
    Trend
    C++PythonScriptingC
  • MDAnalysis

    Science and medicine

    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.

    2026
    3
    Cycles
    7
    Projects
    19
    Trend
    PythonCythonCC+++2
  • 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
  • NumFOCUS

    Science and medicine

    NumFOCUS supports and promotes world-class, innovative, open source scientific software. Most individual projects, even the wildly successful ones, find the overhead of a non-profit to be too large for their community to bear. NumFOCUS provides a critical service as an umbrella organization for this projects.

    2026
    27
    Cycles
    11
    Projects
    304
    Trend
    PythonJavaScriptRJulia+2

Contributor counts are accepted projects per cycle.

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Every organization since 2016