Factual package intelligence from PyPI
A fat-tail-native quantitative finance toolkit: EVT, risk metrics, and honest modelling for markets that bite.
pip install quantlite
PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.24>=2.0>=1.10>=3.7The compact report shows 25 of 32 declarations. The interactive dependency graph loads the complete metadata.
quantlite publishes 1 wheel and 1 source archive for version 1.7.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI lists 16 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .