Factual package intelligence from PyPI

t2s-metrics 1.1.3 package intelligence

T2S-Metrics provides a modular abstraction layer that decouples metric specification from implementation, enabling consistent, transparent, and reproducible evaluation of SPARQL-based QA systems

pip install t2s-metrics

Current version
1.1.3
Python requirement
>=3.12
License
AGPL-3.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
112.6 KiB
Release history
7 releases with files
Median release cadence
7 days

t2s-metrics dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dash-bootstrap-components >=2.0.4
  2. dash >=4.0.0
  3. langchain-ollama >=1.0.1
  4. levenshtein >=0.27.3
  5. loguru >=0.7.3
  6. matplotlib >=3.10.8
  7. nltk >=3.9.2
  8. pandas >=3.0.1
  9. rdflib >=7.5.0
  10. rouge-score >=0.1.2
  11. scikit-learn >=1.8.0
  12. seaborn >=0.13.2

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

t2s-metrics publishes 1 wheel and 1 source archive for version 1.1.3. Wheel platform tags: any.

Declared Python classifiers: 3.12.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .