Le descrizioni degli strumenti sono in inglese.

Osservabilità LLM

Monitoraggio, tracce, valutazione e qualità delle applicazioni LLM.

Utilizzo

Attività

Ordina per

117

Classifica degli strumenti

Classifica per crescita misurata e normalizzata tra le fonti. I valori grezzi mantengono la propria finestra; una variazione richiede almeno due rilevazioni in 7 giorni.

  1. 1

    Agente
    Attivo

    The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models…

    githubcrescita misurataApri fonte ↗

    27 783stelle GitHub+82 (+0.30 %)
  2. 2

    Libreria
    Attivo

    Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

    githubcrescita misurataApri fonte ↗

    23 766stelle GitHub+66 (+0.28 %)
  3. 3

    Altro
    Attivo

    A high-performance observability data pipeline.

    githubcrescita misurataApri fonte ↗

    22 509stelle GitHub+40 (+0.18 %)
  4. 4

    Altro
    Attivo

    SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined…

    githubcrescita misurataApri fonte ↗

    32 003stelle GitHub+50 (+0.16 %)
  5. 5

    Altro
    Attivo

    Open-source observability tool that uses AI agents to self-heal your software

    githubcrescita misurataApri fonte ↗

    1 404stelle GitHub+2 (+0.14 %)
  6. 6

    Altro
    Attivo

    AI SRE AgenticOps for Kubernetes and cloud infrastructure.

    githubcrescita misurataApri fonte ↗

    782stelle GitHub+1 (+0.13 %)
  7. 7

    Altro
    Attivo

    eBPF-based Networking, Security, and Observability

    githubcrescita misurataApri fonte ↗

    25 047stelle GitHub+29 (+0.12 %)
  8. 8

    Skill
    Attivo

    A skill creator that proves its skills work. Evidence-driven skill creation for Claude Code and Codex: baseline-tested generation, per-skill regression evals, ecosystem doctor, cross-runtime compile, and an opt-in proactive advisor.

    githubcrescita misurataApri fonte ↗

    Installa git clone https://github.com/tripleyak/SkillForge ~/.claude/skills/SkillForge

    884stelle GitHub+1 (+0.11 %)
  9. 9

    Altro
    Attivo

    The fastest path to AI-powered full stack observability, even for lean teams.

    githubcrescita misurataApri fonte ↗

    80 412stelle GitHub+85 (+0.11 %)
  10. 10

    Agente
    Attivo

    eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.

    githubcrescita misurataApri fonte ↗

    12 068stelle GitHub+8 (+0.07 %)
  11. 11

    Skill
    Attivo

    The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️

    githubcrescita misurataApri fonte ↗

    Installa git clone https://github.com/kubesphere/kubesphere ~/.claude/skills/kubesphere

    17 037stelle GitHub+8 (+0.05 %)
  12. 12
    Attivo

    A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

    githubcrescita misurataApri fonte ↗

    105stelle GitHubstabile
  13. 13

    Skill
    Dormiente

    Don't make LLMs honest. Make every factual claim auditable. — An LLM Claim Auditing Layer with T1-T7 truth gradients. 98.1% business effectiveness on LiarBench v0.2.

    githubcrescita misurataApri fonte ↗

    Installa git clone https://github.com/lc198707/anti-lie ~/.claude/skills/anti-lie

    89stelle GitHubstabile
  14. 14
    Attivo

    MCP server for Langfuse LLM observability — trace and observation analysis.

    mcpcrescita misurataApri fonte ↗

    Installa claude mcp add langfuse -- npx langfuse-observability-mcp-server

    78stelle GitHubstabile
  15. 15
    Attivo

    AgentX python SDK. Build multi-agent AI workforce. Run evaluation. Trace your agent. Full Observability.

    githubcrescita misurataApri fonte ↗

    68stelle GitHubstabile
  16. 16
    Attivo

    🟪 Open-source runtime that ships any LangGraph or Google ADK agent as a production-ready FastAPI service. Bundled , AG-UI copilotkit API, chat UI, 15+ guardrails, MCP, OpenTelemetry, OIDC. One pip install. Self-hosted, no vendor lock-in.

    githubcrescita misurataApri fonte ↗

    Installa git clone https://github.com/Idun-Group/idun-agent-platform ~/.claude/skills/idun-agent-platform

    198stelle GitHub-1 (-0.50 %)
  17. 17

    MCP
    Attivo

    AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.

    githubcrescita misurataApri fonte ↗

    254stelle GitHub-3 (-1.2 %)
  18. 18
    Attivo

    Self-hosted AI SRE for Kubernetes — zero-instrumentation eBPF observability plus a copilot that fixes issues through guardrailed, self-verifying actions. BYO-LLM, air-gapped capable.

    githubcrescita misurataApri fonte ↗

    131stelle GitHub-4 (-3.0 %)
  19. 19
    Attivo

    74 open-source Agent Skills for Claude Code and Codex: AI SEO, AEO and GEO, code review with an A-F ship grade, CI gates, AI evals, design systems, conversion copy, Instagram growth, iOS and Android app shipping, creator rights, and…

    githubcrescita misurataApri fonte ↗

    129stelle GitHub-4 (-3.0 %)
  20. 20
    Attivo

    Open benchmark for Claude Code SEO skills — real headless execution against fixture sites with planted-defect answer keys. Deterministic scoring, pre-registered rubric.

    githubcrescita misurataApri fonte ↗

    Installa git clone https://github.com/aleclindz/seo-skill-bench ~/.claude/skills/seo-skill-bench

    51stelle GitHub-5 (-8.9 %)
  21. 21
    Attivo

    Production reliability, benchmarking, and evaluation layer for MCP agent runtimes — protocol negotiation, A2A interop, circuit breakers, connection pooling, adaptive streaming, and autoscaling, with measured throughput/latency and a…

    githubcrescita misurataApri fonte ↗

    3stelle GitHubstabile
  22. 22

    Skill
    Dormiente

    An assembly line for AI software development. 35 skills, 11 agent personas, 29 commands. From raw idea to shipped code.

    githubcrescita misurataApri fonte ↗

    Installa /plugin marketplace add aneja5/forge-skills

    3stelle GitHubstabile
  23. 23
    Attivo

    Architecture-first Python scaffold for an auditable multi-agent corporate credit desk using A2A, MCP, deterministic credit policies, model routing, and OpenTelemetry.

    githubcrescita misurataApri fonte ↗

    0stelle GitHubstabile
  24. 24

    Agente
    Attivo

    Multi-agent SRE on-call investigator that auto-triages Slack/Discord infrastructure alerts via AWS Bedrock AgentCore, fanning out to specialized agents (CloudWatch, EKS, Slack/Discord scanners) for parallel investigation.

    githubcrescita misurataApri fonte ↗

    3stelle GitHubstabile

Risorse didattiche e di riferimento

Classifica per crescita misurata e normalizzata tra le fonti. Queste risorse restano accessibili separatamente e non partecipano alla classifica principale.

  1. 1
    AttivoApri fonte ↗

    Curated + scored map of official MCP servers and agents for DevOps, Cloud, SRE, and Platform Engineering — every entry rated on production access, approval gates, and audit evidence.

    githubRisorsacrescita misurata
    77stelle GitHubstabile