Factual package intelligence from PyPI
Quantify uncertainty and sensitivities in your models with an industry-grade Monte Carlo library.
pip install monaco
PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.0~=1.11~=3.6~=4.0~=5.0>=3.0>=10.3.0>=4.15monaco publishes 1 wheel and 1 source archive for version 0.21.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.
PyPI lists 49 releases with files. The first dated release is ; 16 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .