Factual package intelligence from PyPI

unibench 0.4.0 package intelligence

This repository is designed to simplify the evaluation process of vision-language models. It provides a comprehensive set of tools and scripts for evaluating VLM models and benchmarks.

pip install unibench

Current version
0.4.0
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
230.0 KiB
Release history
4 releases with files
Median release cadence
23 days

unibench dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. open-clip-torch
  2. openai-clip
  3. zipp
  4. timm
  5. fire
  6. opencv-python
  7. datasets
  8. ftfy
  9. torch
  10. scipy
  11. fairscale
  12. GitPython
  13. torchvision
  14. rich
  15. oslo.concurrency
  16. transformers
  17. gdown

Compatibility and release files

unibench publishes 1 wheel and 1 source archive for version 0.4.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .