Skip to main content

A graphical user interface for MNE

Project description

Python PyPI Docs DOI License

MNELAB is a graphical user interface (GUI) for MNE-Python, a Python package for EEG/MEG analysis.

Documentation

Instructions for installing and using MNELAB as well as step-by-step examples for different use cases are available in the documentation. Check out the changelog to learn what we added, changed, or fixed.

Installation

You can install MNELAB with pip:

pip install mnelab

If you want to use all MNELAB features, the full package including optional dependencies can be installed with:

pip install "mnelab[full]"

You can also use pipx to install MNELAB in a completely isolated environment:

pipx install mnelab

If you want the latest development version, use the following command:

pip install git+https://github.com/cbrnr/mnelab

Running MNELAB

MNELAB must be started from a terminal with the following command:

mnelab

If you get an error, try the following alternative:

python -m mnelab

Dependencies

MNELAB requires Python ≥ 3.9 and the following packages:

Optional dependencies provide additional features:

  • scikit-learn ≥ 1.3.0 (ICA computation with FastICA)
  • python-picard ≥ 0.7.0 (ICA computation with PICARD)
  • pyEDFlib ≥ 0.1.35 (EDF/BDF export)
  • pybv ≥ 0.7.4 (BrainVision VHDR/VMRK/EEG export)

Contributing

The contributing guide contains detailed instructions on how to contribute to MNELAB.

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

mnelab-0.9.0.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

mnelab-0.9.0-py3-none-any.whl (93.9 kB view details)

Uploaded Python 3

File details

Details for the file mnelab-0.9.0.tar.gz.

File metadata

  • Download URL: mnelab-0.9.0.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for mnelab-0.9.0.tar.gz
Algorithm Hash digest
SHA256 3924be68d097712bb5297c23e2a0bd859a67628a3e7d37417f8fd1e085a7cd75
MD5 59a46ca51c45c5bd53a5425b35cc6f6c
BLAKE2b-256 2363a9d0d94d541c501cbd611738f55f3aa8fa2dfc0d3ad87cbdc260b86cc897

See more details on using hashes here.

File details

Details for the file mnelab-0.9.0-py3-none-any.whl.

File metadata

  • Download URL: mnelab-0.9.0-py3-none-any.whl
  • Upload date:
  • Size: 93.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for mnelab-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 afbc5795fb5086f95a52e7fa83e7c9c1465f9f1282f72a2a1ad7408dfec322dd
MD5 7c65aea9b05c54c91b2d84c0b130f47b
BLAKE2b-256 d4e8c8d18269f49ed3ee4ba4c816cae707b29ab1fd405498bca5ec98ec1425ba

See more details on using hashes here.

Supported by

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