Factual package intelligence from PyPI
Robustness Gym is an evaluation toolkit for machine learning.
pip install robustnessgym
PyPI declares 78 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.6==0.1.2>=0.3.3>=1.18.0>=0.1.0>=1.2.0>-1.4.0>=0.12.0>=1.8.0>=4.49.0>=1.4.1>=5.4.1>=2.0.5>=0.18.0>=2.13.0>=0.70.11>=0.29.21>=2.5>=4.14.1>=0.1.0>=1.1.2The compact report shows 25 of 78 declarations. The interactive dependency graph loads the complete metadata.
robustnessgym publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.
Declared Python classifiers: 3.6.
PyPI lists 9 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .