Skip to main content

PyPREP: A Python implementation of the preprocessing pipeline (PREP) for EEG data.

Project description

Python build Python tests Test coverage Documentation Status PyPI version Conda version Zenodo archive

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 3.9 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.

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

  1. 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyprep-0.5.0.tar.gz (30.2 kB view details)

Uploaded Source

Built Distribution

pyprep-0.5.0-py3-none-any.whl (34.5 kB view details)

Uploaded Python 3

File details

Details for the file pyprep-0.5.0.tar.gz.

File metadata

  • Download URL: pyprep-0.5.0.tar.gz
  • Upload date:
  • Size: 30.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for pyprep-0.5.0.tar.gz
Algorithm Hash digest
SHA256 6df407b127acfef26ea1d3b768d6cebbcdd469b2bbb7ca66dec5c6ac517b89ed
MD5 37c728e20414f985f73e49986d74adbd
BLAKE2b-256 334e6cb3908c4d413c6ac19a29d1fd610135c876d701818c59021f641b0f571d

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyprep-0.5.0.tar.gz:

Publisher: release.yml on sappelhoff/pyprep

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pyprep-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: pyprep-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 34.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for pyprep-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 67b9dba15b8b0aecea52c7df534988f8f15fb78dae93bd2a3b13744f2cb29052
MD5 f6ff8fbaa4c4713164aa017f36a7037e
BLAKE2b-256 3a680897a43a368ad01cd4d8eedd9ed1d98804f0d28f22439d7c12179239dbfe

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyprep-0.5.0-py3-none-any.whl:

Publisher: release.yml on sappelhoff/pyprep

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page