ContextJet-ai/awesome-llm-observability
50+ curated LLM observability tools PLUS 26 Agent Skills (several with runnable, unit-tested scripts) to build, evaluate, debug, secure & monitor reliable LLM apps. Tracing, evals, guardrails, LLMOps.
29
Stars
13
Forks
38.4
Radar Score
Rising
Momentum
Scoring Breakdown
Impact14.2
Velocity56.6
Health51.7
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Strong momentum — adoption is accelerating week over week.
AI Safety & Alignment · guardrailsTop 65% globally
Popular Alternatives & Competitors
Top projects in the same category (AI Safety & Alignment) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
38.4
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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