Factual package intelligence from PyPI
Artifact-ML experiment orchestration: declarative builder toolkit for reusable validation workflows with integrated tracking.
pip install artifact-experiment
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<0.2.0,>=0.1.4<3.0.0,>=2.0.0<9.0.0,>=8.1.7<3.0.0,>=2.22.0<2.0.0,>=1.14.0<5.0.0,>=4.67.1artifact-experiment publishes 1 wheel and 1 source archive for version 0.1.10. Wheel platform tags: any.
Declared Python classifiers: 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 .