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GSoC Organizations / Guide
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DIRECTORY

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 1–20 of 20 organizations

JavaScriptData scienceClear all

  • 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

  • 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

  • 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

  • KNIME

    Data

    Open for Innovation

    2026
    –
    Cycles
    1
    Projects
    2
    Trend
    JavaScriptJavaTensorFlow

  • 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

  • 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

  • Open Chemistry

    Science and medicine

    Advancing Open Source & Open Science for Chemistry

    2026
    –
    Cycles
    9
    Projects
    51
    Trend
    PythonJavaScriptOpenGLC+++6

  • OpenAstronomy

    Science and medicine

    OpenAstronomy is a collaboration between open source astronomy, astrophysics & heliophysics projects that are used by researchers and software engineers around the world to study our universe either by analysing the data obtained from amazing instruments like the [James Webb Space telescope](https://jwst.nasa.gov/), the [Square Kilometer Array](https://www.skatelescope.org/) or the [Solar Dynamic Observatory](http://sdo.gsfc.nasa.gov/), developing very sophisticated numerical models (eg., [FLASH](http://flash.uchicago.edu/)) or designing interplanetary trajectories for human-made spacecraft. The analysis of such data helps multiple types of research, from being able to forecast solar storms to detecting planets in other stars, to understanding how galaxies are formed to explain the expansion and the origin of the universe.

    2026
    5
    Cycles
    11
    Projects
    82
    Trend
    CPythonJuliaNumPy+6

  • PEcAn Project

    Science and medicine

    Climate change science has witnessed an explosion in the amount and types of data that can be brought to bear on the potential responses of the terrestrial carbon cycle and biodiversity to global change. Many of the most pressing questions about global change are not necessarily limited by the need to collect new data as much as by our ability to synthesize existing data. This project specifically seeks to improve this ability. Because no one measurement provides a complete picture, multiple data sources must be integrated in a sensible manner. Process-based models represent an ideal framework for integrating these data streams because they represent multiple processes at different spatial and temporal scales in ways that capture our current understanding of the causal connections across scales and among data types. Three components are required to bridge this gap between the available data and the required level of understanding: 1) state-of-the-art ecosystem model, 2) a workflow management system to handle the numerous streams of data, and 3) a data assimilation statistical framework in order to synthesize the data with the model.

    2026
    4
    Cycles
    10
    Projects
    34
    Trend
    CPostgreSQLJavaScriptR+7

  • Polypheny

    Data

    The Most Versatile Data Management Platform

    2026
    –
    Cycles
    3
    Projects
    9
    Trend
    JavaScriptJavaSQLAngular

  • R project for statistical computing

    Science and medicine

    R provides a wide variety of statistical and graphical techniques, and is highly extensible. R is often the tool of choice for research in statistical methodology.

    2026
    25
    Cycles
    11
    Projects
    237
    Trend
    CC++RFortran+2

  • TensorFlow

    Data

    TensorFlow is a ML framework for everyone.

    2026
    –
    Cycles
    5
    Projects
    81
    Trend
    PythonCC++Machine learning+8

  • The Julia Language

    Science and medicine

    The Julia Language is an open-source, high level, and dynamic language built to be easy to use like Python while having speed near C++. As an umbrella organization, we house projects related to core Julia (the language) as well as packages from the broader Julia ecosystem.

    2026
    12
    Cycles
    10
    Projects
    152
    Trend
    CJavaScriptC++Julia+10

  • UC OSPO

    Science and medicine

    The UCSC Open Source Program Office (OSPO) and the UC OSPO Network supports open source work throughout the University of California system. Beginning in 2022, the UCSC OSPO took over the programmatic responsibilities of the UCSC Center for Research in Open Source Software (CROSS), including mentorship activities such as GSoC. The UCSC OSPO creates partnerships with stakeholders within and outside the UC system in order to help students learn from open source communities, support scientists in using open source to accelerate research efforts, and connect students and scientists with sponsors from industry, government, and foundations. The OSPO helps bridge the gap between academic research and successful open source projects by promoting innovative projects maintained by UC-affiliated scientists and researchers. We support the transfer of cutting-edge technology resulting from UC-originating research to industry via successful open source projects. Due to the multi-campus nature of our current efforts, the projects we support and promote cover a wide range of topics and technologies - including:

    2026
    15
    Cycles
    4
    Projects
    62
    Trend
    PythonCC++Visualization+6

Contributor counts are accepted projects per cycle.

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Every organization since 2016