Welcome to the scilpy documentation! ====================================== scilpy is a comprehensive library that provides tools and scripts for processing, analyzing, and visualizing diffusion MRI and tractography data. It supports advanced features such as tensor- and multi-tensor modeling, streamline registration/transformations, bundle analysis, and more. Use scilpy to build custom diffusion pipelines or apply ready-to-use scripts. The documentation is organized into the following sections: 1. **Getting started & installation** — how to install, set up environments, and run a basic example 2. **Modules & API reference** — detailed descriptions of classes functions and modules 3. **Scripts & workflows** — ready scripts for common tasks .. toctree:: :maxdepth: 1 :caption: Getting started documentation/getting_started .. toctree:: :maxdepth: 1 :caption: Documentation & Tutorials documentation/volumes_manip/index documentation/reconstruction/index documentation/tracking/index documentation/tractogram_manipulation/index documentation/bundle_analysis/index documentation/connectivity/index documentation/start_to_finish_pipelines/index documentation/visualization/index documentation/utils/index documentation/scilpy_paper_index .. toctree:: :maxdepth: 1 :caption: Modules and API reference modules/scilpy scripts/modules