Factual package intelligence from PyPI

BenchmarkDPFair 0.2.7 package intelligence

A differentially private data synthesizer and fairness intervention benchmark framework

pip install benchmarkdpfair

Current version
0.2.7
Python requirement
<3.13,>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
50.8 KiB
Release history
9 releases with files
Median release cadence
1 days

BenchmarkDPFair dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. aif360 >=0.6.1
  2. fairlearn >=0.12.0
  3. inFairness >=0.2.3
  4. matplotlib >=3.9.4
  5. matplotlib-inline >=0.1.7
  6. numpy >=1.26.4
  7. pandas >=2.2.3
  8. scikit-learn >=1.6.1
  9. scipy >=1.13.1
  10. smartnoise-sql >=1.0.6
  11. smartnoise-synth >=1.0.5
  12. tabulate >=0.9.0

The compact report shows 12 of 19 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

BenchmarkDPFair publishes 1 wheel and 1 source archive for version 0.2.7. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for BenchmarkDPFair 0.2.7

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.

Metadata completeness

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

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 .

3 historical releases are fully yanked in PyPI metadata.