Factual package intelligence from PyPI

privacy-tuner 1.1.0 package intelligence

A privacy-preserving data publishing tool with parameter optimization

pip install privacy-tuner

Current version
1.1.0
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
102.7 KiB
Release history
3 releases with files
Median release cadence
12 days

privacy-tuner dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.20.0
  2. pandas >=1.3.0
  3. scikit-learn >=1.0.0
  4. scipy >=1.7.0
  5. matplotlib >=3.4.0
  6. seaborn >=0.11.0
  7. scikit-optimize >=0.9.0
  8. copulas >=0.9.0
  9. tqdm >=4.64.0
  10. jinja2 >=3.0.0
  11. diffprivlib >=0.6.0

Compatibility and release files

privacy-tuner publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.

The project does not publish external project URLs in its PyPI metadata.