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EEG-DaSh: an open data, tool, and compute resource — a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch
pip install eegdash
PyPI declares 56 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.4.0>=1.11.0>=0.19.0>=0.2.0>=2.25.0>=1.34The compact report shows 25 of 56 declarations. The interactive dependency graph loads the complete metadata.
eegdash publishes 1 wheel and 1 source archive for version 0.8.4. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
PyPI lists 109 releases with files. The first dated release is ; 101 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
51 historical releases are fully yanked in PyPI metadata.