eevop

EEVop (EEG Envelope Synchronisation): a Python package to analyse EEG envelopes.

https://github.com/sjg2203/eevop

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 7 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.9%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

EEVop (EEG Envelope Synchronisation): a Python package to analyse EEG envelopes.

Basic Info
  • Host: GitHub
  • Owner: sjg2203
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 164 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog Contributing License Citation

README.md

EEVop

PyPI - Version Conda (channel only) PyPI pyversions License Security: bandit PyPI - Status Hit Ruff

EEVop (EEG Envelope Synchronisation): a Python package to analyse sleep envelope synchronisation.

This package is optimised for Python 3.10 and above and was tested on both Windows and macOS ARM.

[!NOTE] All dependencies are listed in requirements, Python 3.10 minimum.

Citation DOI

If you use this toolbox, please cite as follows:

  • Guillot, S.J.ORCID ( 2023). EEVop (2023.04.03). GitHub, Zenodo. https://doi.org/10.5281/zenodo.10651391

This work is based on the following paper, citing it should be considered:

  • Ujma, P.P., Dresler, M., Simor, P. et al. The sleep EEG envelope is a novel, neuronal firing-based human biomarker. Sci Rep 12, 18836 (2022). https://doi.org/10.1038/s41598-022-22255-4

Contribution Contributions Welcome

These pipelines were created and maintained by SJG.

Contributions are welcome, so feel free to submit a pull request!

To report a bug, please open a new issue.

Note that this program is provided with NO WARRANTY OF ANY KIND under Apache 2.0 license.

Installation of Python package

To install the toolbox, use:

  • Using conda Board Status

python conda install-c cf-staging eevop

  • Using pip Pypi package PyPI - Wheel

python pip install eevop

Owner

  • Name: S.J. Guillot
  • Login: sjg2203
  • Kind: user
  • Company: Columbia University Irving Medical Center

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: EEVop
message: >-
  If you use this toolbox, please cite as follows:  Guillot,
  S.J. (2023). EEVop (2023.04.03). GitHub, Zenodo.
  https://doi.org/10.5281/zenodo.10651391
type: software
authors:
  - email: simon.guillot@inserm.fr
    given-names: Simon J
    family-names: Guillot
    orcid: 'https://orcid.org/0000-0002-1623-7091'
    affiliation: University of Oxford
identifiers:
  - type: doi
    value: 10.5281/zenodo.10651391
    description: Zenodo
repository-code: 'https://github.com/sjg2203/EEVop'
abstract: >-
  SleeVop (Sleep Envelope Synchronisation): a Python package
  to analyse EEG envelopes.
keywords:
  - Sleep
  - EEG
  - Python
  - Sleep envelope
license: Apache-2.0
commit: d419e4a
date-released: '2023-04-03'

GitHub Events

Total
  • Push event: 3
Last Year
  • Push event: 3

Dependencies

.github/workflows/bandit.yml actions
  • actions/checkout v2 composite
  • shundor/python-bandit-scan 9cc5aa4a006482b8a7f91134412df6772dbda22c composite
.github/workflows/pypi_publish.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
  • pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite
docs/requirements.txt pypi
  • math *
  • mne >=1.2.0
  • myst-nb *
  • numpy >=1.24.3
  • outdated *
  • pandas >=2.0.0
  • scipy >=1.11
  • sphinx-autoapi *
  • sphinx-rtd-theme *
pyproject.toml pypi
  • python >=3.10