Factual package intelligence from PyPI

thetiscore 0.2.5 package intelligence

Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects.

pip install thetiscore

Current version
0.2.5
Python requirement
>=3.10
License
LicenseRef-efs-TechHub-Thetis-Proprietary
Distribution type
Includes compiled wheel
Release files
6 (6 wheels, 0 source)
Download size
24.6 MiB
Release history
8 releases with files
Median release cadence
175 days

thetiscore dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=2.3.3
  2. pyyaml >=6.0.3
  3. numpy >=2.2.6
  4. matplotlib >=3.10.8
  5. jinja2 >=3.1.6
  6. rst2pdf >=0.102
  7. docutils >=0.20.1
  8. reportlab >=4.0.7
  9. scikit-learn >=1.7.2
  10. scipy >=1.15.3
  11. strictyaml >=1.7.3
  12. uharfbuzz >=0.53.3
  13. pycryptodome >=3.23.0
  14. requests >=2.32.5
  15. deepeval >=3.8.8
  16. rouge-score >=0.1.2
  17. datasets >=4.6.0

Compatibility and release files

thetiscore publishes 6 wheels and 0 source archives for version 0.2.5. Wheel platform tags: manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64, win_amd64.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 8 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .