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A framework for preprocessing, processing, visualization, event detection, and event curation of high-density time-series signals and multi-channel data streams.
pip install espresso-neuro
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
espresso-neuro publishes 1 wheel and 1 source archive for version 26.5.15. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .