Nilearn¶
Grew out of scikit-learn and spun off as a separate project. Has a team of 13 core developers.
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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 |
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Documentation |
Official project documentation. |
Git Commit Statistics¶
Statistics computed using Git data through March 31, 2022.
Statistic |
Lifetime |
Last 12 Months |
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Commits |
55,365 |
4,418 |
Lines committed |
20,403,102 |
1,236,823 |
Unique committers |
207 |
35 |
Core committers |
10 |
10 |
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