MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more. It includes modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, statistics, and more.
Documentation for MNE-Python encompasses installation instructions, tutorials, and examples for a wide variety of topics, contributing guidelines, and an API reference.
The user forum is the best place to ask questions about MNE-Python usage or the contribution process. The forum also features job opportunities and other announcements.
If you find a bug or have an idea for a new feature that should be added to MNE-Python, please use the issue tracker of our GitHub repository.
To install the latest stable version of MNE-Python with minimal dependencies only, use pip in a terminal:
$ pip install --upgrade mneFor more complete instructions, including our standalone installers and more advanced installation methods, please refer to the installation guide.
To install the latest development version of MNE-Python using pip, open a terminal and type:
$ pip install --upgrade https://github.com/mne-tools/mne-python/archive/refs/heads/main.zipTo clone the repository with git, open a terminal and type:
$ git clone https://github.com/mne-tools/mne-python.gitThe minimum required dependencies to run MNE-Python are:
- Python ≥ 3.11
- decorator ≥ 5.1
- Jinja2 ≥ 3.1
- lazy-loader ≥ 0.3
- Matplotlib ≥ 3.9
- NumPy ≥ 2.1
- packaging
- Pooch ≥ 1.5
- SciPy ≥ 1.14
- tqdm ≥ 4.66
Please see the contributing guidelines on our documentation website.
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MNE-Python is licensed under the BSD-3-Clause license.