Factual package intelligence from PyPI
Benchmark performance of **any Foundation Model (FM)** deployed on **any AWS Generative AI service**, be it **Amazon SageMaker**, **Amazon Bedrock**, **Amazon EKS**, or **Amazon EC2**. The FMs could be deployed on these platforms either directly through `FMbench`, or, if they are
pip install fmbench
PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.36.6>=3.2.0>=2.14.0>=6.29.5>=8.1.5>=3.1.5>=1.1.1>=8.6.3==0.2.1>=1.59.8>=1.6.1>=9.5.50>=0.8.0>=1.4.1>=2.2.3>=2.6.0>=24.3.1>=5.24.1>=6.1.1>=2.10.6>=6.0.2>=2.41.0>=2.32.3>=2.237.3>=0.13.2The compact report shows 25 of 33 declarations. The interactive dependency graph loads the complete metadata.
fmbench publishes 1 wheel and 1 source archive for version 2.1.6. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 83 releases with files. The first dated release is ; 56 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.