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
packaging
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)

Source distribution for mne 1.13.2
File	Size	Uploaded
mne-1.13.2.tar.gz	7.4 MB	Sep 11, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for mne 1.13.2
File	Interpreter	ABI	Platform	Reset
mne-1.13.2-py3-none-any.whl 7.7 MB Sep 11, 2026	Python 3	none	any	Details

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	`729829e35010a7273cce8608d61d930c973fbead6edc1a70316c01e3a5551521`
BLAKE2b-256 checksum How to use checksums	`cf19004114922a8e6afcc713cbc6122c015b2487f17fc7ca021db700501868ea`
Upload date	Sep 11, 2026
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.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/mne-tools/mne-python
Publishing commit: github.com/mne-tools/mne-python/tree/bf67729b805865b5bb0f2f97621e416278efd1b2

Workflow

Publishing configuration: github.com/mne-tools/mne-python/blob/bf67729b805865b5bb0f2f97621e416278efd1b2/.github/workflows/release.yml
Publishing logs: github.com/mne-tools/mne-python/actions/runs/34622744594/attempts/1

Artifact

Subject: mne-1.13.2.tar.gz
SHA-256 checksum: 729829e35010a7273cce8608d61d930c973fbead6edc1a70316c01e3a5551521 Verifying attestations

Release 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	`36bbdd9fdc68431309a75e9dc6331b9de085cb6836688ac50b7b89f141a83cc3`
BLAKE2b-256 checksum How to use checksums	`44e4face21e5da320fdc3a3e016ea93a28d1b786d01b36d75872627161a837aa`
Upload date	Sep 11, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/mne-tools/mne-python
Publishing commit: github.com/mne-tools/mne-python/tree/bf67729b805865b5bb0f2f97621e416278efd1b2

Workflow

Publishing configuration: github.com/mne-tools/mne-python/blob/bf67729b805865b5bb0f2f97621e416278efd1b2/.github/workflows/release.yml
Publishing logs: github.com/mne-tools/mne-python/actions/runs/34622744594/attempts/1

Artifact

Subject: mne-1.13.2-py3-none-any.whl
SHA-256 checksum: 36bbdd9fdc68431309a75e9dc6331b9de085cb6836688ac50b7b89f141a83cc3 Verifying attestations