Factual package intelligence from PyPI
Library for modeling investment decisions. Conventional uncertainty-aware approaches like stochastic, robust and regret. Metaheuristic approach for antifragile optimization.
pip install eta-incerto
PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<3.0,>=2.1==2.0.0<26.0.0,>=25.3.0<2.0.0,>=1.1.13<5.0.0,>=4.3.20<0.7.0.0,>=0.6.1.5<4.0.0,>=3.0.0<3.0.0,>=2.11.7>=4.14.1<13.0.0,>=12.0.3<0.11.0,>=0.10.2<4.0.0,>=3.10.2The compact report shows 12 of 26 declarations. The interactive dependency graph loads the complete metadata.
eta-incerto publishes 1 wheel and 1 source archive for version 1.4.0. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 14 releases with files. The first dated release is ; 13 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .