Factual package intelligence from PyPI
Binary Equalab is a symbolic mathematics toolkit focused on clarity, performance and educational value. Designed for students, engineers and curious minds who want math to feel alive.
pip install binary-equalab
PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.7.0>=1.24.0>=3.0.0>=2.31.0>=13.0.0>=1.10.0>=1.12>=0.40.0>=0.9.0binary-equalab publishes 1 wheel and 1 source archive for version 3.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14, 3.9.
PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
2 historical releases are fully yanked in PyPI metadata.