pyprep is a python implementation of the
Preprocessing Pipeline (PREP) for
EEG data, working with MNE-Python
for EEG data processing and analysis. Also contains a function to detect
outlier epochs inspired by the FASTER algorithm.
ALPHA SOFTWARE. This package is currently in its early stages of iteration. It may change both its internals or its user-facing API in the near future. Any feedback and ideas on how to improve either of these is more than welcome! Use this software at your own risk.
pyprep requires Python version
3.6 or higher to run properly.
We recommend to run
pyprep in a dedicated virtual environment
(using e.g., conda).
For installing the stable version of
pyprep, simply call
pip install pyprep.
This should install dependencies automatically, which are defined in the
setup.cfg file in the
For installation of the development version use:
git clone https://github.com/sappelhoff/pyprep cd pyprep pip install -r requirements-dev.txt pre-commit install pip install -e .
We are actively looking for contributors!
Please chime in with your ideas on how to improve this software by opening a GitHub issue, or submitting a pull request.
See also our CONTRIBUTING.md file for help with submitting a pull request.
Bigdely-Shamlo, N., Mullen, T., Kothe, C., Su, K.-M., & Robbins, K. A. (2015). The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Frontiers in Neuroinformatics, 9, 16. doi: 10.3389/fninf.2015.00016
Nolan, H., Whelan, R., & Reilly, R. B. (2010). FASTER: fully automated statistical thresholding for EEG artifact rejection. Journal of neuroscience methods, 192(1), 152-162. doi: 10.1016/j.jneumeth.2010.07.015