paradime-io/dbt-llm-evals
The warehouse-native LLM evaluation package for dbt™ - monitor AI quality without data egress
30
Stars
5
Forks
21.6
Radar Score
Stable
Momentum
Scoring Breakdown
Impact11.5
Velocity28.9
Health27.7
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Popular Alternatives & Competitors
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
21.6
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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