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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 1–24 of 36 organizations

Machine learningJavaJavaScriptBioinformaticsData scienceClear all

  • BioJS

    Science and medicine

    BioJS is an open source project that visualizes biological data using JavaScript

    2026
    –
    Cycles
    1
    Projects
    3
    Trend
    PythonJavaScript

  • 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

  • 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

  • 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

  • Global Alliance for Genomics and Health

    Science and medicine

    The Global Alliance for Genomics and Health (GA4GH) was formed to help accelerate the potential of genomic medicine to advance human health. It brings together over 400 leading genome institutes and centers with IT industry leaders to create global standards and tools for the secure, privacy respecting and interoperable sharing of Genomic data.

    2026
    4
    Cycles
    10
    Projects
    49
    Trend
    PythonJavaSQLProtobuf+10

  • 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

  • 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

  • Open Chemistry

    Science and medicine

    Advancing Open Source & Open Science for Chemistry

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

  • Open Genome Informatics

    Science and medicine

    The Open Genome Informatics group represents an umbrella organization consisting of several open source and open access genomics and bioinformatics projects worldwide. Our goals are to develop and maintain a collection of sustainable software tools for managing, analyzing, visualizing, storing, and disseminating genomic data.

    2026
    3
    Cycles
    7
    Projects
    31
    Trend
    PythonJavaNode.jsGwt+8

  • 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

  • Orange – Data Mining Fruitful & Fun

    Science and medicine

    A cross-platform, visual-programming tool for data mining and visualization.

    2026
    –
    Cycles
    1
    Projects
    5
    Trend
    PythonCythonMachine learningQt

  • 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

Contributor counts are accepted projects per cycle.

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Every organization since 2016