Scilpy is the main library supporting research and development at the Sherbrooke Connectivity Imaging Lab (SCIL).
Scilpy mainly comprises tools and utilities to quickly work with diffusion MRI. Most of the tools are based on or are wrappers of the DIPY library, and most of them will eventually be migrated to DIPY. Those tools implement the recommended workflows and parameters used in the lab.
The library's structure is mostly aligned on that of DIPY.
We highly recommend working in a Python Virtual Environment. Dependencies can be installed by running
pip install -r requirements.txt
Following this, the library and scripts can be installed locally by using
python setup.py build_ext --inplace
python setup.py install
python setup.py install_scripts
Note that using this technique will make it harder to remove the scripts when changing versions.