Factual package intelligence from PyPI

DPSDV 0.0.3 package intelligence

Creating a Differential Privacy securing Synthetic Data Generation for tabular, relational and time series data.

pip install dpsdv

Current version
0.0.3
Python requirement
>=3.6,<3.10
License
MIT license
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
185.6 KiB
Release history
4 releases with files
Median release cadence
0 days

DPSDV dependencies

PyPI declares 45 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. Faker <10,>=3.0.0
  2. graphviz <1,>=0.13.2
  3. pandas <2,>=1.1.3
  4. tqdm <5,>=4.15
  5. copulas <0.8,>=0.7.0
  6. ctgan <0.6,>=0.5.1
  7. deepecho <0.4,>=0.3.0.post1
  8. rdt <0.7,>=0.6.2
  9. sdmetrics <0.6,>=0.5.0
  10. numpy <1.20.0,>=1.18.0 when python_version < "3.7"
  11. numpy <2,>=1.20.0 when python_version >= "3.7"

The compact report shows 12 of 45 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

DPSDV publishes 1 wheel and 1 source archive for version 0.0.3. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .