Mne Python Python Packages

mne-connectivity

Connectivity algorithms that leverage the MNE-Python API.

autoreject

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

jamica

Python implementation of AMICA (Adaptive Mixture ICA) with JAX acceleration for EEG/MEG data

gedai

GEDAI in python

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.

mnextend

Additional functionality for MNE-Python

mne-bids-pipeline

Automatically process entire electrophysiological datasets using MNE-Python.

mne-rsa

Representational Similarity Analysis on MEG and EEG data

pyeeglab

Analyze and manipulate EEG data using PyEEGLab.

stimrespflow

A framework for boosting the implementation of stimulus-response research code in the field of cognitive science and neuroscience

esinet

EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code

ephypype

Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype

amica

Python implementation of AMICA (Adaptive Mixture ICA) with JAX acceleration for EEG/MEG data

niseq

group sequential tests for neuroimaging

pytour

A framework for boosting the implementation of stimulus-response research code in the field of cognitive science and neuroscience

sleepeeg

Sleep EEG preprocessing and analysis

sleep-kit-psg

Config-driven, auditable preprocessing for PSG sleep-staging datasets — 22 profiles, deterministic pairing, QC, provenance, and privacy-aware outputs.

autoclean-icvision

Automated ICA artifact classification and removal for EEG data using OpenAI Vision API. Generates component visualizations, classifies artifacts, and produces cleaned datasets with detailed reports.

autocleaneeg-icvision

Automated ICA artifact classification and removal for EEG data using OpenAI Vision API. Generates component visualizations, classifies artifacts, and produces cleaned datasets with detailed reports.

mne-realtime

Realtime data analysis with MNE-Python

pycartool

A simple open source Python package for I/O between Cartool and Python

sleepeegpy

Sleep EEG preprocessing, analysis and visualization

mne-hfo

Estimate/compute high-frequency oscillations (HFOs) from iEEG data that are BIDS and MNE compatible using a scikit-learn-style API.

mri2mne

Complete pipeline from an MRI in DICOM + an EEG recording to a cortical source estimate with MNE-Python. Driven in Python, runs natively on Windows, without FreeSurfer, without WSL, without Docker. (An optional volumetric BEM route is described further down; that one does use WSL + FreeSurfer.)