Nilearn enables approachable and versatile analyses of brain volumes. It provides statistical and machine-learning tools, with instructive documentation & open community.

It supports general linear model (GLM) based analysis and leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.

Nilearn now includes the functionality of Nistats. Here’s a guide to replacing Nistats imports to work in Nilearn.

First Steps

Get started with nilearn


Visit our example gallery

User Guide

Browse the full documentation

Nilearn is part of the NiPy ecosystem.