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Nilearn

Grew out of scikit-learn and spun off as a separate project. Has a team of 13 core developers.

Logo
Website	http://nilearn.github.io
Repository	https://github.com/nilearn/nilearn
Byline	Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data. It leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modeling, classification, decoding, or connectivity analysis.
License	BSD 3-clause
Project age	10 years 5 months
Backers	DataIA (Sponsored by), DigiCosme (Sponsored by), French Investissement d’Avenir. (Creator and maintainer)
Size score (1 to 10, higher is better)	5.5
Trend score (1 to 10, higher is better)	3.25

Education Resources

URL	Resource Type	Description
https://nilearn.github.io/user_guide.html	Documentation	Official project documentation.

Git Commit Statistics

Statistics computed using Git data through May 31, 2021.

Statistic	Lifetime	Last 12 Months
Commits	30,569	1,969
Lines committed	10,164,204	444,688
Unique committers	196	43
Core committers	10	13

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