Awesome Jev

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autorubric

A Python library encapsulating best practices for rubric-based evaluation of LLM/VLM outputs using AI judges such as LLMs and decision models.

Research and EvalsFeature ScoringListedPython

Repository

Stars47
LanguagePython
LicenseNOASSERTION
Created2026-03-03
Last pushed2026-09-26
Officialno

Judgment

Genuine Jev project0.71
gate 0.5
Uses Jev at runtime0.35
Is a meta list0.04
Is a reimplementation0.07

Quality scales

Substance2.96 / 3
gate 0.5
Docs2.04 / 3
Novelty1.50 / 3
Composite score0.82

Category distribution

Research and Evals0.61
Other0.17
SDKs and Clients0.13
Integrations0.07
Applications0.01
Agent and Dev Tooling0.01
Games and Simulation0.00
Learning0.00
Assigned categoryResearch and Evals
Category probability0.61
Category confidence0.54
PatternFeature Scoring
Pattern confidence0.99

Curation

StatusListed
Reasongate passed
README pickno
Overridenone

Sources

  • code:"typesafe_sdk"

Provenance

Modeljev-1.13.0
Question setv2
Judged at2026-09-27 11:42 UTC