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.
Get started with nilearn
Visit our example gallery
Browse the full documentation
Nilearn is part of the NiPy ecosystem.