Factual package intelligence from PyPI
A supervised clustering algorithm for panel data, commonly used in quantitative finance to identify time-varying, cross-sectional predictability regimes.
pip install aptree
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.
aptree publishes 1 wheel and 1 source archive for version 0.3.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .