mnelab 0.6.4

A graphical user interface for MNE

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

Changelog

Check out the changelog to learn what we added, changed or fixed in the latest release.

Dependencies

MNELAB requires Python >= 3.6 and the following packages:

• mne >= 0.22.0
• QtPy >= 1.9.0
• PyQt5 >= 5.10.0 or PySide2 >= 5.10.0
• numpy >= 1.14.0
• scipy >= 1.0.0
• matplotlib >= 2.1.0
• pyobjc-framework-Cocoa >= 5.2.0 (macOS only)

Optional dependencies provide additional features if installed:

• scikit-learn >= 0.20.0 (ICA computation with FastICA)
• python-picard >= 0.4.0 (ICA computation with PICARD)
• pyxdf >= 1.16.0 (XDF import)
• pyEDFlib >= 0.1.15 (EDF/BDF export)
• pybv 0.4.0 (BrainVision VHDR/VMRK/EEG export)

Installation

Make sure you have either PySide2 or PyQt5 installed. If you have neither, we recommend PySide2, which you can install with pip install PySide2. Then install MNELAB with:

pip install mnelab

To use all MNELAB features, all optional dependencies should also be installed:

pip install scikit-learn python-picard pyxdf pyEDFlib pybv

You can start MNELAB in a terminal with mnelab or python -m mnelab. On Windows, make sure to use Command Prompt (cmd.exe) or PowerShell (powershell.exe) – the mnelab command does not work in Git Bash.

If you use Arch Linux, you can alternatively install the python-mnelab AUR package (note that this also requires the python-mne AUR package).

Instead of the latest release, you can also install the latest development version as follows:

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

Contributing

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