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

mnextend

Additional functionality for MNE-Python

mne-bids-pipeline

Automatically process entire electrophysiological datasets using MNE-Python.

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-rsa

Representational Similarity Analysis on MEG and EEG data

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

stimrespflow

No description available

gedai

GEDAI in python

pyeeglab

Analyze and manipulate EEG data using PyEEGLab.

pycartool

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

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

mne-realtime

Realtime data analysis with MNE-Python

sleepeeg

Sleep EEG preprocessing and analysis

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.

pytour

No description available

shimadzu-fnirs-converter

Convert Shimadzu fNIRS TXT export to MNE Raw (.fif) and SNIRF (.snirf), with montage and events.

laura

**laura**: Local Auto-Regressive Average