🗣Special for MRI: Nilearn Library
Nilearn is a lightweight Python-library for MRI data analysis. It provides statistical and machine learning tools, detailed documentation, and an open community.
Nilearn now includes the functionality of the Nistats library and extends it with new features. It supports general linear model (GLM) analysis and uses scikit-learn tools for multivariate statistics with applications such as predictive modeling, classification, decoding, or connectivity analysis. Nilearn perfectly visualizes the results of the analysis in the projections of the human brain.
The library is available under the BSD license and is being actively updated: version 0.1.1 was released in 2015, and release 0.9.1 was released as of June 2022. https://nilearn.github.io/stable/index.html