Factual package intelligence from PyPI

anonymity-loss-coefficient 1.0.32 package intelligence

A package to run attacks on anonymized data using the Anonymity Loss Coefficient.

pip install anonymity-loss-coefficient

Current version
1.0.32
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
95.8 KiB
Release history
32 releases with files
Median release cadence
1 days

anonymity-loss-coefficient dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21.0
  2. pandas >=1.3.0
  3. scipy >=1.7.0
  4. scikit-learn >=1.0.0
  5. matplotlib >=3.4.0
  6. seaborn >=0.11.0
  7. pyarrow >=20.0.0
  8. fastparquet >=2024.1.0
  9. charset_normalizer >=3.0.0

Compatibility and release files

anonymity-loss-coefficient publishes 1 wheel and 1 source archive for version 1.0.32. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 32 releases with files. The first dated release is ; 32 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .