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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. :ref:`Here's a guide to replacing Nistats imports to work in Nilearn. <nistats_migration>`

Get started with nilearn

Visit our example gallery

Browse the full documentation

.. toctree::
   :hidden:

   nistats_migration.rst
   authors.rst
   user_guide.rst
   auto_examples/index.rst
   changes/whats_new.rst
   development.rst
   maintenance.rst
   glossary.rst

Nilearn is part of the NiPy ecosystem.