522 organizations since 2016

• 

  Center for Research in Open Source Software (CROSS)

  Science and medicine

  Amplifying Research Imapct through Open Source

  2026

  –

  Cycles

  4

  Projects

  20

  Trend

  PythonJavaScriptC++Hadoop+8
• 

  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
• 

  mlpack

  Science and medicine

  a fast, flexible machine learning library

  2026

  –

  Cycles

  9

  Projects

  60

  Trend

  C++PythonMachine learningDeep Learning+3
• 

  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
• 

  QC-Devs

  Science and medicine

  QC-Devs develops free, open-source, and cross-platform libraries for the computational sciences, focusing on theoretical and computational chemistry. Our goal is to make programming accessible to students and researchers, to catalyze scientific collaborations, and to promote precepts of sustainable software development. We're adapting some of the same principles to develop free and open-source educational materials (qc-edu.org) to modernize scientific education by integrating hands-on computation and computer programming.

  2026

  3

  Cycles

  3

  Projects

  10

  Trend

  PythonGitHubC++Julia+1
• 

  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
• 

  Ruby Science Foundation

  Science and medicine

  Tools for scientific computation in Ruby

  2026

  –

  Cycles

  4

  Projects

  13

  Trend

  CC++RubyJruby+8
• 

  Shogun

  Science and medicine

  Unified and efficient Machine Learning

  2026

  –

  Cycles

  4

  Projects

  10

  Trend

  PythonC++CMakeSwig+6
• 

  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.