For documentation, see the:
pyprep is a Python implementation of the
Preprocessing Pipeline (PREP)
for EEG data, working with MNE-Python.
pyprep requires Python version 3.9 or higher to run properly.
We recommend to run pyprep in a dedicated virtual environment
(for example using conda).
For installing the stable version of pyprep, call:
pip install pyprep
or, as an alternative to pip, call:
conda install -c conda-forge pyprep
For installing the latest (development) version of pyprep, call:
pip install --upgrade https://github.com/sappelhoff/pyprep/archive/refs/heads/main.zip
Both the stable and the latest installation will additionally install
all required dependencies automatically.
The dependencies are defined in the pyproject.toml file under the
dependencies and project.optional-dependencies sections.
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.
Potential contributors should install pyprep in the following way:
- First they should fork
pyprepto their own GitHub account. - Then they should run the following commands,
adequately replacing
<gh-username>with their GitHub username.
git clone https://github.com/<gh-username>/pyprep
cd pyprep
git fetch --tags --prune --prune-tags
pip install -e ".[dev]"
pre-commit install
If you use this software in academic work, please cite it using the Zenodo entry. Please also consider citing the original publication on PREP (see "References" below). Metadata is encoded in the CITATION.cff file.
- 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