Factual package intelligence from PyPI

privkit 0.5.1 package intelligence

Privkit is a privacy toolkit that provides methods for privacy analysis. It implements different data types, privacy-preserving mechanisms, attacks, and privacy/utility metrics.

pip install privkit

Current version
0.5.1
Python requirement
>=3
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
143.1 KiB
Release history
6 releases with files
Median release cadence
161 days

privkit dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. deepface >=0.0.93
  2. matplotlib >=3.9.2
  3. networkx >=3.4.2
  4. numpy ==1.26.4
  5. open3d >=0.18.0
  6. osmnx >=2.0.0
  7. pandas >=2.2.3
  8. pyproj >=3.7.0
  9. scikit-image >=0.24.0
  10. scikit-learn >=1.5.2
  11. tf-keras >=2.18.0
  12. torch >=2.5.1

Compatibility and release files

privkit publishes 1 wheel and 1 source archive for version 0.5.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 6 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 .