PyPREP
For documentation, see the:
pyprep is a Python implementation of the Preprocessing Pipeline (PREP) for EEG data, working with MNE-Python.
Installation
pyprep runs on Python version 3.10 or higher.
We recommend to run pyprep in a dedicated virtual environment (for example using conda).
For installing the stable version of pyprep, call:
python -m pip install --upgrade pyprep
or if you use conda:
conda install --channel conda-forge pyprep
For installing the latest (development) version of pyprep, call:
python -m 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.
Logging
pyprep logs through the standard logging module and configures nothing when it is imported, so it is quiet by default but never silent: warnings and errors reach stderr without any setup. Call pyprep.setup_logging("info") to see what the pipeline decided, or pyprep.set_log_level("info") if your application already routes logging somewhere of its own.
See the Logging section of the API documentation for the details.
Contributing
The development of pyprep is taking place on GitHub.
For more information, please see CONTRIBUTING.md.
Citing
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.
References
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
Release files for pyprep 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyprep-0.9.0.tar.gz | 37.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyprep-0.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 79.6 kB
Release files / pyprep-0.9.0.tar.gz
| Download URL | pyprep-0.9.0.tar.gz |
|---|---|
| Size | 37.6 kB |
| Tags | Source |
|
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| Size | 42.0 kB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 21, 2026.
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