Data

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Indexes

Applications

Experiments

Open Source Science

Open Source in Research

Uncovering the software underpinning scientific research

Browse our data by

Projects Fields Institutions JOSS papers

Data coverage

Total Projects Analysed
373,814
Scientific projects
86,132
Institutional Owners
957
JOSS Papers
3,589
Top Programming Languages
Python 37,324
R 11,665
Jupyter Notebook 10,994
HTML 10,165
JavaScript 8,066
C++ 4,730
Julia 2,833
TypeScript 2,726
TeX 2,188
Java 2,043
Data Completeness
With Repository Data 202,815 / 373,814
With README 175,173 / 373,814
With Packages 202,388 / 373,814
Science Scored 373,814 / 373,814
With CITATION.cff 47,376 / 373,814
With codemeta.json 1,653 / 373,814
With .zenodo.json 2,113 / 373,814

How it works

We collect research data

Pulling in millions of papers and metadata from sources like Crossref and OpenAlex, so we can see how research is built

We link software and science

We match mentions of open-source projects in publications to the code and people behind them, uncovering the invisible infrastructure of modern research

We reveal the bigger picture

Showing where science depends on fragile or under-maintained software, helping funders, institutions, and communities invest where it matters most.

Part of the Ecosyste.ms Platform

We provide this essential service at no cost as part of the broader ecosyste.ms initiative to support and secure critical digital infrastructure

Find out more