MNE-Python
MNE-Python software 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, and statistics.
Documentation
MNE documentation for MNE-Python is available online.
Installing MNE-Python
To install the latest stable version of MNE-Python, you can use pip in a terminal:
pip install -U mne
- MNE-Python 0.17 was the last release to support Python 2.7
- MNE-Python 0.18 requires Python 3.5 or higher
- MNE-Python 0.21 requires Python 3.6 or higher
- MNE-Python 0.24 requires Python 3.7 or higher
For more complete instructions and more advanced installation methods (e.g. for the latest development version), see the installation guide.
Get the latest code
To install the latest version of the code using pip open a terminal and type:
pip install -U https://github.com/mne-tools/mne-python/archive/main.zip
To get the latest code using git, open a terminal and type:
git clone git://github.com/mne-tools/mne-python.git
Alternatively, you can also download a zip file of the latest development version.
Dependencies
The minimum required dependencies to run MNE-Python are:
- Python >= 3.7
- NumPy >= 1.16.0
- SciPy >= 1.2.0
For full functionality, some functions require:
- Matplotlib >= 3.1.0
- Scikit-learn >= 0.21.0
- Numba >= 0.44.0
- NiBabel >= 2.5.0
- Pandas >= 0.24.0
- Picard >= 0.3
- CuPy >= 6.0.0 (for NVIDIA CUDA acceleration)
- DIPY >= 1.0.0
- Imageio >= 2.6.1
- PyVista >= 0.30
- pyvistaqt >= 0.4
- mffpy >= 0.5.7