Lyman is a platform for analyzing neuroimaging (primarily MRI) data using Python. It comprises an interface to Nipype data processing workflows and a library of classes and functions for signal processing, model fitting, visualization, and other tasks.
Online documentation can be found here.
Lyman supports Python 3.7+ and does not support Python 2.
Lyman preprocessing requires FSL and Freesurfer. Information about Python library dependency information is available in the online documentation.
Stable versions can be installed from PyPI:
pip install lyman
It is also possible to install development code from Github:
pip install git+https://github.com/mwaskom/lyman.git
Lyman is freely available under the BSD (3-clause) license.
Lyman is publicly released with some hope that it might be useful but no promise of support. With that said, reproducible bugs may be reported to the Github issue tracker.
