Factual package intelligence from PyPI

calm-data-generator 2.3.2 package intelligence

CALM-Data-Generator: A Python library for synthetic data generation with support for drift injection and clinical data.

pip install calm-data-generator

Current version
2.3.2
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
794.4 KiB
Release history
11 releases with files
Median release cadence
8 days

calm-data-generator dependencies

PyPI declares 36 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.0.0,>=1.26.4
  2. pandas <2.4.0,>=2.3.0
  3. scipy <1.15.0,>=1.14.0
  4. tables <3.11.0,>=3.10.0
  5. h5py <3.16.0,>=3.15.0
  6. ydata-profiling <4.19.0,>=4.18.0
  7. synthcity <0.3.0,>=0.2.12
  8. opacus <1.5.0,>=1.4.0
  9. sdmetrics <0.28.0,>=0.27.0
  10. numba <0.63.0,>=0.62.0
  11. llvmlite <0.46.0,>=0.45.0
  12. scikit-learn <1.8.0,>=1.7.0

The compact report shows 12 of 36 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

calm-data-generator publishes 1 wheel and 1 source archive for version 2.3.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for calm-data-generator 2.3.2

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.

Release activity and sources

PyPI lists 11 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .