MNE Developers
MNE Developers is the open-source project community behind MNE-Python and related MNE tools. Its goal is to develop freely available software for processing, analysis, visualization, and sharing of human neuroimaging and neurophysiological data, with emphasis on MEG, EEG, ECoG, sEEG/iEEG, and fNIRS.
At a Glance
- Universities and academic neuroscience laboratories
- Research hospitals and clinical neurophysiology groups
- Neurotechnology and brain-computer-interface researchers
- Scientists working with MEG, EEG, ECoG, sEEG/iEEG, and fNIRS
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AI Tools by MNE Developers
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MNE-Python
Python Library for EEG and MEG Analysis
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Products & Services
BSD-licensed open-source Python package for importing, preprocessing, visualizing, and analyzing MEG, EEG, sEEG/iEEG, ECoG, and fNIRS data, including forward/inverse modeling, source estimation, connectivity, statistics, machine learning, and time-frequency analysis.
The original C implementation of core MNE functionality for MEG/EEG analysis.
MATLAB interface and implementations of core MNE-C analysis functionality, distributed through the MNE ecosystem.
C++ framework providing core MNE functionality and real-time functional brain-imaging capabilities.
Market Position
MNE-Python is a leading open-source Python ecosystem for end-to-end M/EEG and broader electrophysiology analysis. It differentiates through breadth of acquisition-format support, forward and inverse modeling, source visualization, BIDS and scientific-Python interoperability, extensive tutorials, and a large community-maintained suite; adjacent alternatives include FieldTrip, Brainstorm, EEGLAB, and commercial vendor toolchains.
Leadership
Founders
Alexandre (Alex) Gramfort
Research scientist and machine-learning/signal-processing specialist; currently Research Science Director at Meta Reality Labs. Previously research director at Inria leading the MIND/Parietal team, assistant professor at Telecom Paris, and researcher at Harvard University's Martinos Center. The official MNE credits identify him as the creator of MNE-Python in 2010, and his bio calls him its initial creator and core developer.
Executive Team
Alex Gramfort
Advisory Board member; initial creator and former core developer
Research Science Director at Meta Reality Labs; previously research director at Inria, assistant professor at Telecom Paris, and researcher at Harvard's Martinos Center.
Britta Westner
Maintainer and Steering Council member
Listed by the official project leadership page as a current maintainer and member of the Steering Council.
Board of Directors
Founding Story
MNE-Python was created in 2010 by Alex Gramfort as a Python port of MNE software, whose original core was written in C by Matti Hämäläinen. The initial vision was to make the established MNE analysis functionality available in Python and then extend it substantially for modern neuroscience workflows and additional modalities.
Business Model
Revenue Model
MNE-Python and the MNE tools are distributed as free, open-source software under the BSD-3-Clause license. The project is maintained by distributed contributors and supported through research funding and institutional partners rather than a documented commercial subscription or usage-fee model.
Target Markets
- Universities and academic neuroscience laboratories
- Research hospitals and clinical neurophysiology groups
- Neurotechnology and brain-computer-interface researchers
- Scientists working with MEG, EEG, ECoG, sEEG/iEEG, and fNIRS
- Python scientific-computing and open-science communities
- Academic and clinical MEG/EEG neuroimaging research
- Analysis of ECoG, sEEG/iEEG, and fNIRS recordings
- Neural signal preprocessing, source reconstruction, decoding, and machine learning
- Brain connectivity and time-frequency studies
- Real-time/online neuroscience experiments using LSL-compatible devices
- Teaching, reproducible research, and BIDS-organized electrophysiology workflows