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

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

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)

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).

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