MNE-Python
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
Documentation for MNE-Python encompasses installation instructions, tutorials, and examples for a wide variety of topics, contributing guidelines, and an API reference.
Forum
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.
Installation
To install the latest stable version of MNE-Python with minimal dependencies only, use pip in a terminal:
$ pip install --upgrade mne
For more complete instructions, including our standalone installers and more advanced installation methods, please refer to the installation guide.
Get the development version
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.zip
To clone the repository with git, open a terminal and type:
$ git clone https://github.com/mne-tools/mne-python.git
Dependencies
The 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
Pooch ≥ 1.5
SciPy ≥ 1.14
tqdm ≥ 4.66
Contributing
Please see the contributing guidelines on our documentation website.
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License
MNE-Python is licensed under the BSD-3-Clause license.
Metadata
Release files for mne 1.13.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mne-1.13.2.tar.gz | 7.4 MB | With provenance | Details for mne-1.13.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mne-1.13.2-py3-none-any.whl | Python 3 | none | any | Details for mne-1.13.2-py3-none-any.whl |
Total release size: 15.0 MB
Release files / mne-1.13.2.tar.gz
| Download URL | mne-1.13.2.tar.gz |
|---|---|
| Size | 7.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / mne-1.13.2-py3-none-any.whl
| Download URL | mne-1.13.2-py3-none-any.whl |
|---|---|
| Size | 7.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 11, 2026.
Transparency logSecurity for mne 1.13.2
Provenance
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Full provenance
Both files in this release have been uploaded with provenance metadata.
Attestation for mne-1.13.2.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 11, 2026.
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