MNE-Python project for MEG and EEG data analysis.
Project description
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 mneThe 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:
$ pip install --upgrade git+https://github.com/mne-tools/mne-python@mainTo clone the repository with git, open a terminal and type:
$ git clone https://github.com/mne-tools/mne-python.gitDependencies
The minimum required dependencies to run MNE-Python are:
Python ≥ 3.9
NumPy ≥ 1.21.2
SciPy ≥ 1.7.1
Matplotlib ≥ 3.5.0
Pooch ≥ 1.5
For full functionality, some functions require:
scikit-learn ≥ 1.0
Joblib ≥ 0.15 (for parallelization)
mne-qt-browser ≥ 0.1 (for fast raw data visualization)
Qt ≥ 5.15 via one of the following bindings (for fast raw data visualization and interactive 3D visualization):
Numba ≥ 0.54.0
NiBabel ≥ 3.2.1
OpenMEEG ≥ 2.5.6
pandas ≥ 1.3.2
Picard ≥ 0.3
CuPy ≥ 9.0.0 (for NVIDIA CUDA acceleration)
DIPY ≥ 1.4.0
imageio ≥ 2.8.0
PyVista ≥ 0.32 (for 3D visualization)
PyVistaQt ≥ 0.4 (for 3D visualization)
mffpy ≥ 0.5.7
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.
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