awesome-llm-observability — tool profile and history

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.

Active

Canonical source ↗

Language
Python
Created
Last activity
Topics
  • ai-agents
  • ai-engineering
  • ai-observability
  • awesome
  • awesome-list
  • claude-skills
  • evaluation
  • genai
  • guardrails
  • llm
  • llm-evaluation
  • llm-monitoring
  • llm-security
  • llmops
  • mlops
  • observability
  • opentelemetry
  • prompt-engineering
  • prompt-management

Install git clone https://github.com/ContextJet-ai/awesome-llm-observability ~/.claude/skills/awesome-llm-observability

Current measurement

32GitHub stars+2 (+6.7 %)
measured growth

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Reading history

90 days · 90 maximum readings
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Classifications

Domains
Type
Agent skills
Use cases

These entries declare the same topics. No similarity is inferred: only the shared topics are stated.