Skip to content
The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox
Branch: master
Clone or download
jchoude Merge pull request #8 from arnaudbore/switchDIPYpeaksModule
switch old dipy.reconst.peak to dipy.direction.peak
Latest commit d536002 May 8, 2019
Type Name Latest commit message Commit time
Failed to load latest commit information.
scripts switch old dipy.reconst.peak to dipy.direction.peak May 6, 2019
LICENSE NF: added license. Mar 22, 2019
Makefile Updated README Mar 23, 2019
requirements.txt RF: updated setup to install scripts. Mar 22, 2019


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.

Dependencies and installation

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 install
python install_scripts

Note that using this technique will make it harder to remove the scripts when changing versions.

You can’t perform that action at this time.