Factual package intelligence from PyPI
Native Python implementation of AMICA for MNE-Python and scientific EEG workflows.
pip install amica
PyPI declares 35 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 35 declarations. The interactive dependency graph loads the complete metadata.
amica publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .