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Highest reviewed

Observability & monitoring

Ranked by Overall Score among the Observability & monitoring vendors we have published reviews for. Scores come from the same methodology as each full review. This page is for comparing leaders; browse the subcategory to see the full field.

  1. Fiddler AI

    8.1/10 · Recommend

    Regulated enterprises that already run production models or agents and need one control plane for traces, evaluation, policy, and audit evidence.

    Open review →

  2. Laminar

    7.9/10 · Recommend

    Engineering teams building long-running AI agents that want open-source tracing and debugging with low posted monthly prices.

    Open review →

  3. Langfuse

    7.9/10 · Recommend

    AI engineering teams that want LLM tracing, prompt management, and evals with the option to self-host.

    Open review →

  4. Raindrop

    7.9/10 · Recommend

    Product and engineering teams running AI agents with real users who need to find and fix failures that standard logging misses.

    Open review →

  5. Arize AI

    7.7/10 · Recommend

    ML and LLM platform teams that need OpenTelemetry-friendly tracing, hallucination and drift monitors, and an eval workflow tied to production traffic.

    Open review →

  6. Respan

    7.6/10 · Recommend

    Startups and product teams shipping AI agents that want one API for model access plus tracing, alerts, and evaluations, with a free plan to start and a team plan at $199 a month.

    Open review →

  7. Evidently AI

    6.8/10 · Conditional recommend

    ML and LLM teams that want open-source evaluation reports with an optional Cloud path for collaboration and scale.

    Open review →

Last updated October 2026 · 7 published reviews in this subcategory