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Author:
Alexandre Gramfort
Summary:
MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data. It provides methods for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, machine learning, and statistics.
Latest version:
1.13.2
Required dependencies:
decorator
|
jinja2
|
lazy-loader
|
matplotlib
|
numpy
|
packaging
|
pooch
|
scipy
|
tqdm
Optional dependencies:
antio
|
curryreader
|
darkdetect
|
defusedxml
|
dipy
|
edfio
|
eeglabio
|
filelock
|
h5io
|
h5py
|
imageio
|
imageio-ffmpeg
|
ipyevents
|
ipympl
|
ipython
|
ipywidgets
|
jamica
|
joblib
|
jupyter
|
mffpy
|
mne-qt-browser
|
neo
|
nest-asyncio2
|
nibabel
|
nilearn
|
numba
|
openmeeg
|
pandas
|
pillow
|
pyarrow
|
pybv
|
pymatreader
|
pymef
|
pyobjc-framework-cocoa
|
pyqt6
|
pyqt6-qt6
|
pyside6
|
python-picard
|
pyvista
|
pyvistaqt
|
qdarkstyle
|
qtpy
|
scikit-learn
|
sip
|
snirf
|
statsmodels
|
threadpoolctl
|
traitlets
|
trame
|
trame-pyvista
|
trame-vtk
|
trame-vuetify
|
vtk
|
xlrd
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