Factual package intelligence from PyPI

blade-bench 0.1.1 package intelligence

Dataset and code for 'BLADE: Benchmarking Language Model Agents for Data-Driven Science'(https://arxiv.org/abs/2408.09667)

pip install blade-bench

Current version
0.1.1
Python requirement
<4.0,>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
27.0 MiB
Release history
2 releases with files
Median release cadence
0 days

blade-bench dependencies

PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pydantic <3.0.0,>=2.7.4
  2. diskcache <6.0.0,>=5.6.3
  3. loguru <0.8.0,>=0.7.2
  4. backoff <3.0.0,>=2.2.1
  5. openai <2.0.0,>=1.35.3
  6. absl-py <3.0.0,>=2.1.0
  7. tiktoken <0.8.0,>=0.7.0
  8. python-dotenv <2.0.0,>=1.0.1
  9. anthropic <0.30.0,>=0.29.0
  10. google-generativeai <0.8.0,>=0.7.0
  11. langchain <0.3.0,>=0.2.5
  12. networkx <4.0,>=3.3
  13. pandas ==1.5.3
  14. astor <0.9.0,>=0.8.1
  15. rich <14.0.0,>=13.7.1
  16. nbclient <0.11.0,>=0.10.0
  17. ipython <9.0.0,>=8.25.0
  18. pillow <11.0.0,>=10.3.0

The compact report shows 18 of 32 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

blade-bench publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .