Factual package intelligence from PyPI

synthetic-data-metrics 0.0.3 package intelligence

Synthetic Data Metrics is a Python library for evaluating synthetic data quality across a wide range of data types (image, tabular, time series, language) and approaches to evaluation.

pip install synthetic-data-metrics

Current version
0.0.3
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
27.4 KiB
Release history
2 releases with files
Median release cadence
0 days

synthetic-data-metrics dependencies

PyPI declares 53 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. joblib ==1.2.0
  2. absl-py ==1.4.0
  3. astunparse ==1.6.3
  4. cachetools ==5.3.0
  5. certifi ==2022.12.7
  6. charset-normalizer ==3.0.1
  7. flatbuffers ==23.1.21
  8. gast ==0.4.0
  9. google-auth ==2.16.0
  10. google-auth-oauthlib ==0.4.6
  11. google-pasta ==0.2.0
  12. grpcio ==1.51.1
  13. h5py ==3.8.0
  14. idna ==3.4
  15. imageio ==2.25.0
  16. keras ==2.11.0
  17. libclang ==15.0.6.1
  18. Markdown ==3.4.1

The compact report shows 18 of 53 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

synthetic-data-metrics publishes 1 wheel and 1 source archive for version 0.0.3. Wheel platform tags: any.

Declared Python classifiers: 3.10.

Metadata completeness

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

Release activity and sources

PyPI lists 2 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 .