MNE-Python

Open-source Python package for the comprehensive processing, analysis, and visualization of human neurophysiological data: MEG, EEG, ECoG, and fNIRS.

MNE-Python is the definitive, open-source Python library for neurophysiological data analysis. It delivers a complete pipeline: from raw data input (supporting formats like FIF, EDF, and BDF) and robust preprocessing (e.g., ICA, filtering, Maxwell filtering) to advanced statistical and source estimation methods. Researchers use MNE-Python to perform critical tasks: source localization via techniques like dSPM and beamformers, time-frequency analysis, and connectivity mapping. The package is built on core data structures—Raw, Epochs, and Evoked—ensuring a consistent, efficient workflow for complex MEG/EEG projects.

https://mne.tools