Factual package intelligence from PyPI
Portfolio optimization with a sklearn-style API and config-driven workflows. Multiple objectives, constraints, and solvers.
pip install pyoptima
PyPI declares 38 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.0.0>=6.0.0>=1.20.0>=1.3.0>=6.0.0>=1.0.0>=2.5.0The compact report shows 25 of 38 declarations. The interactive dependency graph loads the complete metadata.
pyoptima publishes 1 wheel and 1 source archive for version 0.0.8. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
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 .