Electroencephalography Python Packages

mne

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

braindecode

Deep learning software to decode EEG, ECG or MEG signals

mne-bids

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

autoreject

Automated rejection and repair of bad trials/sensors in M/EEG

eegdash

EEG-DaSh: an open data, tool, and compute resource. a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch

cmne

Contextual MEG/EEG source estimation: an LSTM learns the temporal context of brain activity to sharpen dSPM/MNE estimates. PyTorch + ONNX, MNE-Python compatible.

meganorm

MEGaNorm is a Python package for normative modeling on MEG and EEG data.

refsig

Package for obtaining the referential signal from a set of unipolar iEEG data

niseq

group sequential tests for neuroimaging

mne-ari

All-resolutions Inference for M/EEG in Python

nicolet-e2edf

Open-source Python converter for Natus/Nicolet/Nervus .e EEG recordings to EDF+

mecons

Open-source Python package for measuring consciousness.