Factual package intelligence from PyPI
A library for normalizing streams of incoming data, particularly focused on improving sequential experimentation.
pip install onorm
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.22<0.9,>=0.8<2.0.0,>=1.16.2onorm publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.
Declared Python classifiers: 3.12, 3.13.
PyPI lists 3 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 .