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 modelling, classification, decoding, or connectivity analysis.

First Steps

Get started with nilearn

Examples

Visit our example gallery

User Guide

Browse the full documentation

  • glass_brain
  • haxby_weights
  • oasis_weights
  • connectome
  • rest_clustering
  • canica
  • searchlight
‹ ›

Nilearn is part of the NiPy ecosystem.