Nilearn is a Python package for fast and easy statistical learning on NeuroImaging data with a focus on fMRI data. It leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.

Developed and maintained by the PARIETAL team at INRIA.

See it on GitHub: here