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MNE-ICALabel: Automatic labeling of ICA components from MEG, EEG and iEEG data with MNE.
pip install mne-icalabel
PyPI declares 46 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 46 declarations. The interactive dependency graph loads the complete metadata.
mne-icalabel publishes 1 wheel and 1 source archive for version 0.9.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.
PyPI lists 12 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .