Factual package intelligence from PyPI

synth-data-metrics 0.0.1 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 synth-data-metrics

Current version
0.0.1
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
24.3 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

synth-data-metrics dependencies

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

  1. absl-py ==1.4.0
  2. astunparse ==1.6.4
  3. cachetools ==5.3.0
  4. certifi ==2022.12.7
  5. charset-normalizer ==3.0.1
  6. flatbuffers ==23.1.21
  7. gast ==0.4.0
  8. google-auth ==2.16.0
  9. google-auth-oauthlib ==0.4.6
  10. google-pasta ==0.2.0
  11. grpcio ==1.51.1
  12. h5py ==3.8.0
  13. idna ==3.4
  14. imageio ==2.25.0
  15. joblib ==1.2.0
  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

synth-data-metrics publishes 1 wheel and 0 source archives for version 0.0.1. 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 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .