Factual package intelligence from PyPI

prepro-auto 1.0.3 package intelligence

AI-assisted, human-in-the-loop tabular data preprocessing — profile, clean, transform, and export any dataset with a reproducible pipeline, from a notebook or the web.

pip install prepro-auto

Current version
1.0.3
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
466.0 KiB
Release history
9 releases with files
Median release cadence
1 days

prepro-auto dependencies

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

  1. fastapi >=0.110
  2. uvicorn >=0.29
  3. python-multipart >=0.0.9
  4. pydantic >=2.6
  5. pydantic-settings >=2.2
  6. sqlalchemy >=2.0
  7. pandas >=2.0
  8. numpy >=1.24
  9. scikit-learn >=1.3
  10. scipy >=1.10
  11. reportlab >=4.0
  12. pyarrow >=14.0

The compact report shows 12 of 41 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

prepro-auto publishes 1 wheel and 1 source archive for version 1.0.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for prepro-auto 1.0.3

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

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 .