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

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.

MNELAB requires Python >= 3.8 and the following packages:

• mne >= 0.24.0
• PySide6 >= 6.2.0
• numpy >= 1.14.0
• scipy >= 1.0.0
• matplotlib >= 3.5.0
• pyxdf >= 1.16.0
• 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)
• pyEDFlib >= 0.1.15 (EDF/BDF export)
• pybv 0.4.0 (BrainVision VHDR/VMRK/EEG export)

You can install MNELAB with:

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 install the latest development version as follows:

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

Then start MNELAB in a terminal with mnelab or python -m mnelab.

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