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|MNE|

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 <https://github.com/mne-tools/mne-python/issues/new/choose>__ of our GitHub repository.

Installation ^^^^^^^^^^^^

To install the latest stable version of MNE-Python with minimal dependencies only, use pip_ in a terminal:

.. code-block:: console

$ pip install --upgrade mne

The current MNE-Python release requires Python 3.9 or higher. MNE-Python 0.17 was the last release to support Python 2.7.

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:

.. code-block:: console

$ pip install --upgrade git+https://github.com/mne-tools/mne-python@main

To clone the repository with git <https://git-scm.com/>__, open a terminal and type:

.. code-block:: console

$ git clone https://github.com/mne-tools/mne-python.git

Dependencies ^^^^^^^^^^^^

The minimum required dependencies to run MNE-Python are:

• Python <https://www.python.org>__ ≥ 3.9
• NumPy <https://numpy.org>__ ≥ 1.23
• SciPy <https://scipy.org>__ ≥ 1.9
• Matplotlib <https://matplotlib.org>__ ≥ 3.6
• Pooch <https://www.fatiando.org/pooch/latest/>__ ≥ 1.5
• tqdm <https://tqdm.github.io>__
• Jinja2 <https://palletsprojects.com/p/jinja/>__
• decorator <https://github.com/micheles/decorator>__
• lazy_loader <https://pypi.org/project/lazy_loader/>__

For full functionality, some functions require:

• scikit-learn <https://scikit-learn.org/stable/>__ ≥ 1.1

• Joblib <https://joblib.readthedocs.io/en/latest/index.html>__ ≥ 0.15 (for parallelization)

• mne-qt-browser <https://github.com/mne-tools/mne-qt-browser>__ ≥ 0.5 (for fast raw data visualization)

• Qt <https://www.qt.io>__ ≥ 5.15 via one of the following bindings (for fast raw data visualization and interactive 3D visualization):

  • PyQt6 <https://www.riverbankcomputing.com/software/pyqt/>__ ≥ 6.0
  • PySide6 <https://doc.qt.io/qtforpython-6/>__ ≥ 6.0
  • PyQt5 <https://www.riverbankcomputing.com/software/pyqt/>__ ≥ 5.15
  • PySide2 <https://doc.qt.io/qtforpython-6/gettingstarted/porting_from2.html>__ ≥ 5.15

• Numba <https://numba.pydata.org>__ ≥ 0.54.0

• NiBabel <https://nipy.org/nibabel/>__ ≥ 3.2.1

• OpenMEEG <https://openmeeg.github.io>__ ≥ 2.5.6

• pandas <https://pandas.pydata.org>__ ≥ 1.3.2

• Picard <https://pierreablin.github.io/picard/>__ ≥ 0.3

• CuPy <https://cupy.dev>__ ≥ 9.0.0 (for NVIDIA CUDA acceleration)

• DIPY <https://dipy.org>__ ≥ 1.4.0

• imageio <https://imageio.readthedocs.io/en/stable/>__ ≥ 2.8.0

• PyVista <https://pyvista.org>__ ≥ 0.32 (for 3D visualization)

• PyVistaQt <https://qtdocs.pyvista.org>__ ≥ 0.4 (for 3D visualization)

• mffpy <https://github.com/BEL-Public/mffpy>__ ≥ 0.5.7

• h5py <https://www.h5py.org>__

• h5io <https://github.com/h5io/h5io>__

• pymatreader <https://pymatreader.readthedocs.io/en/latest/>__

Contributing ^^^^^^^^^^^^

Please see the contributing guidelines <https://mne.tools/dev/development/contributing.html>__ on our documentation website.

About ^^^^^

+---------+------------+----------------+ | CI | |Codecov| | |Bandit| | +---------+------------+----------------+ | Package | |PyPI| | |conda-forge| | +---------+------------+----------------+ | Docs | |Docs| | |Discourse| | +---------+------------+----------------+ | Meta | |Zenodo| | |OpenSSF| | +---------+------------+----------------+

License ^^^^^^^

MNE-Python is licensed under the BSD-3-Clause license.

.. _Documentation: https://mne.tools/dev/ .. _user forum: https://mne.discourse.group .. _installation guide: https://mne.tools/dev/install/index.html .. _pip: https://pip.pypa.io/en/stable/

.. |PyPI| image:: https://img.shields.io/pypi/dm/mne.svg?label=PyPI :target: https://pypi.org/project/mne/

.. |conda-forge| image:: https://img.shields.io/conda/dn/conda-forge/mne.svg?label=Conda :target: https://anaconda.org/conda-forge/mne

.. |Docs| image:: https://img.shields.io/badge/Docs-online-green?label=Documentation :target: https://mne.tools/dev/

.. |Zenodo| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.592483.svg :target: https://doi.org/10.5281/zenodo.592483

.. |Discourse| image:: https://img.shields.io/discourse/status?label=Forum&server=https%3A%2F%2Fmne.discourse.group%2F :target: https://mne.discourse.group/

.. |Codecov| image:: https://img.shields.io/codecov/c/github/mne-tools/mne-python?label=Coverage :target: https://codecov.io/gh/mne-tools/mne-python

.. |Bandit| image:: https://img.shields.io/badge/Security-Bandit-yellow.svg :target: https://github.com/PyCQA/bandit

.. |OpenSSF| image:: https://www.bestpractices.dev/projects/7783/badge :target: https://www.bestpractices.dev/projects/7783

.. |MNE| image:: https://mne.tools/dev/_static/mne_logo_gray.svg :target: https://mne.tools/dev/