A graphical user interface for MNE
Project description
MNELAB
Graphical user interface (GUI) for MNE, a Python-based toolbox for EEG/MEG analysis.
Screenshots
Dependencies
MNELAB requires Python >= 3.6. In addition, the following Python packages are required:
- PyQt5 >= 5.6.0
- numpy >= 1.8.1
- scipy >= 0.17.1
- matplotlib >= 2.0.0
- mne >= 0.17
Optional dependencies provide additional features if installed:
- scikit-learn (ICA computation via FastICA)
- python-picard (ICA computation via PICARD)
- pyEDFlib (export raw to EDF/BDF)
- pyxdf (import XDF files)
In general, I recommended to always use the latest package versions.
Additional features
MNELAB comes with the following features that are not (yet) available in MNE:
- Export raw to EDF/BDF (requires pyEDFlib)
- Export raw to EEGLAB SET
- Import XDF files (requires pyxdf)
Installation
Via pip
The latest release is available on PyPI and can be installed with:
pip install mnelab
mnelab
The mnelab command in the last line starts the application.
Via conda
An (unofficial, but regularly updated) conda package can be installed from conda-forge. We strongly suggest to install MNELAB into its own dedicated environment to ensure smooth installation and operation:
conda create -y --name mnelab -c conda-forge mnelab
conda activate mnelab
mnelab
The mnelab command in the last line starts the application.
Any issues with this conda package should be reported to the respective
issue tracker.
Standalone installer
A stand-alone installer will be available soon.
Development version
Follow these steps to use the latest development version of MNELAB:
- Download the source code and unpack it into a folder of your choice.
- Open a terminal, change to the folder where you unpacked the MNELAB source.
- Finally, run
python3 -m mnelabto start MNELAB (if this does not work trypython -m mnelab, just make sure to use Python 3 because Python 2 is not supported).
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