Factual package intelligence from PyPI

dataquality 2.3.0 package intelligence

PyPI does not currently provide a summary for dataquality.

pip install dataquality

Current version
2.3.0
Python requirement
<3.11,>=3.9
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
584.7 KiB
Release history
297 releases with files
Median release cadence
1 days

dataquality dependencies

PyPI declares 41 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pydantic >=2.0.0
  2. requests >=2.25.1
  3. pandas >=0.20.0
  4. pyarrow >=5.0.0
  5. vaex-core ==4.17.1
  6. vaex-hdf5 <0.13,>=0.12
  7. diskcache >=5.2.1
  8. resource >=0.2.1
  9. tqdm >=4.62.3
  10. blake3 >=0.2.1
  11. wrapt >=1.13.3
  12. scipy >=1.7.0
  13. cachetools >=4.2.4
  14. importlib-metadata <6.0.1
  15. datasets >=2.14.6
  16. transformers >=4.17.0
  17. seqeval
  18. sentence-transformers >=2.2
  19. h5py >=3.1.0
  20. numpy <1.24.0
  21. tenacity >=8.1.0
  22. evaluate
  23. accelerate
  24. ipywidgets >=8.1.0
  25. pyjwt >=2.8.0

The compact report shows 25 of 41 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

dataquality publishes 1 wheel and 1 source archive for version 2.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 297 releases with files. The first dated release is ; 14 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

4 historical releases are fully yanked in PyPI metadata.