MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
.. -- mode: rst --
|MNE|
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>
__ ≥ 3.9NumPy <https://numpy.org>
__ ≥ 1.21.2SciPy <https://scipy.org>
__ ≥ 1.7.1Matplotlib <https://matplotlib.org>
__ ≥ 3.5.0Pooch <https://www.fatiando.org/pooch/latest/>
__ ≥ 1.5tqdm <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/>
__ ≥ 1.0
Joblib <https://joblib.readthedocs.io/en/latest/index.html>
__ ≥ 0.15 (for parallelization)
mne-qt-browser <https://github.com/mne-tools/mne-qt-browser>
__ ≥ 0.1 (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/>
__ ≥ 6.0PySide6 <https://doc.qt.io/qtforpython-6/>
__ ≥ 6.0PyQt5 <https://www.riverbankcomputing.com/software/pyqt/>
__ ≥ 5.15PySide2 <https://doc.qt.io/qtforpython-6/gettingstarted/porting_from2.html>
__ ≥ 5.15Numba <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/
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.. |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/