Factual package intelligence from PyPI
Nimbus Personalizer: Bayesian personalization head for frozen neural EEG embeddings — wrap any encode(X)→Z trunk, adapt online, ship BrainState
pip install nimbus-bci
PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.26>=1.4>=1.17.1The compact report shows 12 of 16 declarations. The interactive dependency graph loads the complete metadata.
nimbus-bci publishes 12 wheels and 1 source archive for version 0.5.0. Wheel platform tags: macosx_10_13_x86_64, macosx_10_9_x86_64, macosx_11_0_arm64, manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64, win_amd64.
Declared Python classifiers: 3.11, 3.12, 3.13.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .