Nilearn

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

Logo

../_images/nilearn_nilearn-small.png

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

11 years 3 months

Backers

DataIA (Sponsored by), DigiCosme (Sponsored by), French Investissement d’Avenir. (Creator and maintainer)

Lastest News (2022-01-28)

Release 0.9.0 Added some recent contributions and support for Python 3.10. Python 3.6 is deprecated and will be removed in release 0.10. more

Size score (1 to 10, higher is better)

6.25

Trend score (1 to 10, higher is better)

6.0

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 March 31, 2022.

Statistic

Lifetime

Last 12 Months

Commits

55,365

4,418

Lines committed

20,403,102

1,236,823

Unique committers

207

35

Core committers

10

10

../_images/nilearn_nilearn-monthly-commits.png

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