Data

Tools

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
373,626
Scientific projects
85,944
Institutional Owners
951
JOSS Papers
3,334
Top Programming Languages
Python 37,272
R 11,659
Jupyter Notebook 10,986
HTML 10,160
JavaScript 8,066
C++ 4,723
Julia 2,825
TypeScript 2,726
TeX 2,188
Java 2,042
Data Completeness
With Repository Data 202,719 / 373,626
With README 175,078 / 373,626
With Packages 202,256 / 373,626
Science Scored 373,626 / 373,626
With CITATION.cff 47,357 / 373,626
With codemeta.json 1,651 / 373,626
With .zenodo.json 2,109 / 373,626

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