awesome-llm-observability

SkillGitHubActivePython

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.

Description provenance: Original source

Open canonical source

Measured: Oct 21, 2026 · 69 observations

Domains & Uses

Domains: Agents, skills and MCP
Uses: Agent skills, Observability

Installation

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

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/ContextJet-ai/awesome-llm-observability

Classifications

Nature: Resource

Measurement history

Comparable readings are grouped by signal and unit.

Stars

42stars · Oct 21, 2026

+7 (+20 %)since Sep 22, 2026

Exact values · 29 readings

Measured	stars	Change
Oct 21, 2026	42	0
Oct 20, 2026	42	0
Oct 18, 2026	42	+1
Oct 17, 2026	41	0
Oct 16, 2026	41	0
Oct 15, 2026	41	0
Oct 14, 2026	41	+1
Oct 13, 2026	40	0
Oct 12, 2026	40	0
Oct 11, 2026	40	0
Oct 10, 2026	40	0
Oct 9, 2026	40	0
Oct 8, 2026	40	0
Oct 7, 2026	40	0
Oct 6, 2026	40	0
Oct 5, 2026	40	0
Oct 4, 2026	40	+1
Oct 3, 2026	39	0
Oct 2, 2026	39	+1
Oct 1, 2026	38	+2
Sep 30, 2026	36	0
Sep 29, 2026	36	0
Sep 28, 2026	36	+1
Sep 27, 2026	35	0
Sep 26, 2026	35	0
Sep 25, 2026	35	0
Sep 24, 2026	35	0
Sep 23, 2026	35	0
Sep 22, 2026	35	·