.. We are putting the title as a raw HTML so that it doesn't appear in the contents .. container:: index-paragraph 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 <http://scikit-learn.org>`__ Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis. Nilearn now includes the functionality of `Nistats <https://nistats.github.io>`_. :ref:`Here's a guide to replacing Nistats imports to work in Nilearn. <nistats_migration>` .. Here we are building the carousel .. |glass_brain| image:: auto_examples/01_plotting/images/sphx_glr_plot_demo_glass_brain_002.png :target: auto_examples/01_plotting/plot_demo_glass_brain.html .. |connectome| image:: auto_examples/03_connectivity/images/sphx_glr_plot_inverse_covariance_connectome_004.png :target: auto_examples/03_connectivity/plot_inverse_covariance_connectome.html .. |surface_plot| image:: auto_examples/01_plotting/images/sphx_glr_plot_3d_map_to_surface_projection_001.png :target: auto_examples/01_plotting/plot_3d_map_to_surface_projection.html .. |haxby_weights| image:: auto_examples/02_decoding/images/sphx_glr_plot_haxby_anova_svm_001.png :target: auto_examples/plot_decoding_tutorial.html .. |oasis_weights| image:: auto_examples/02_decoding/images/sphx_glr_plot_oasis_vbm_002.png :target: auto_examples/02_decoding/plot_oasis_vbm.html .. |rest_parcellations| image:: auto_examples/03_connectivity/images/sphx_glr_plot_data_driven_parcellations_001.png :target: auto_examples/03_connectivity/plot_data_driven_parcellations.html .. |canica| image:: auto_examples/03_connectivity/images/sphx_glr_plot_compare_decomposition_011.png :target: auto_examples/03_connectivity/plot_compare_decomposition.html .. |tvl1_haxby| image:: auto_examples/02_decoding/images/sphx_glr_plot_haxby_frem_001.png :target: auto_examples/02_decoding/plot_haxby_frem.html .. |searchlight| image:: auto_examples/02_decoding/images/sphx_glr_plot_haxby_searchlight_001.png :target: auto_examples/02_decoding/plot_haxby_searchlight.html .. raw:: html <div id="index-grid" class="section group"> <div class="col span_1_of_3"> <h3><a href="introduction.html#python-for-neuroimaging-a-quick-start">First Steps</a></h3> <p>Get started with nilearn</p> <h3><a href="auto_examples/index.html"> Examples</a></h3> <p>Visit our example gallery</p> <h3><a href="user_guide.html"> User Guide</a></h3> <p>Browse the full documentation</p> </div> <div class="col span_2_of_3"> <div class="jcarousel-wrapper"> <div class="jcarousel"> * |glass_brain| * |surface_plot| * |oasis_weights| * |connectome| * |rest_parcellations| * |canica| * |tvl1_haxby| * |haxby_weights| * |searchlight| .. raw:: html </div> <a href="#" class="jcarousel-control-prev">‹</a> <a href="#" class="jcarousel-control-next">›</a> <p class="jcarousel-pagination"> </p> </div> </div> </div> <div style="clear: left"></div> .. toctree:: :hidden: nistats_migration.rst authors.rst user_guide.rst auto_examples/index.rst whats_new.rst development.rst Nilearn is part of the `NiPy ecosystem <http://nipy.org>`_.