Skip to content

ObservabilityTraceloop

Traceloop

LLM observability built on OpenTelemetry.

Pricing
FREEMIUM
Source
Open core
Hosting
Hybrid
Platforms
WebAPI
Models
Model-agnostic
Verified
Jun 8, 2026

A reliability platform for LLM apps: its open-source OpenLLMetry SDK instruments LLM, vector-DB, and framework calls as standard OpenTelemetry spans, which Traceloop's hosted dashboard turns into traces, cost/latency analytics, and quality monitoring. Because the data is plain OTel, you can pipe it to existing observability stacks instead of a proprietary one.

Capabilities 1

What it actually does — grouped by capability family.

  • LLM observability (primary capability)

Pros & cons

  • Built on open OpenTelemetry standard
  • OpenLLMetry SDK is open source
  • Exports to any OTel backend
  • No proprietary data lock-in
  • Instruments LLM, vector-DB, frameworks
  • Hosted dashboard less rich than rivals
  • Relies on your existing OTel stack
  • Smaller eval tooling than competitors

Tags

View all Observability
  • View Langfuse details
    ObservabilityFREEMIUMOpen core

    Langfuse

    Langfuse

    Open-source LLM observability. Self-hostable, OpenTelemetry-native.

    Tracing, evals, prompt management, and dataset tooling for LLM apps — self-host on your own infra or use Langfuse Cloud. The open-source default when you want full ownership of your observability stack.

    Own your observability data
    Self-host infra cost at scale
    • open-source
    • tracing
    • evals
    • self-hosted
  • View Helicone details
    ObservabilityFREEMIUMOpen core

    Helicone

    Helicone

    Drop-in LLM proxy with logging, caching, and cost tracking.

    One-line integration — change your OpenAI/Anthropic base URL and get a dashboard with every prompt, response, latency, and dollar tracked. Adds caching and rate-limit handling without code changes.

    No SDK or code changes to integrate
    Request/response focused, not span-based
    • proxy
    • logging
    • caching
    • cost-tracking
  • View LangSmith details
    ObservabilityFREEMIUM

    LangSmith

    LangChain

    LangChain's hosted observability + eval platform.

    Tracing, dataset management, eval orchestration, and prompt playground from the LangChain team. Pairs naturally if LangChain or LangGraph already runs in your stack, but works standalone via SDKs.

    Native LangChain/LangGraph tracing
    Closed source, cloud-only
    • tracing
    • evals
    • datasets
    • langchain
  • View Arize Phoenix details
    ObservabilityFREEMIUM

    Arize Phoenix

    Arize AI

    LLM tracing and evaluation with retrieval debugging.

    Phoenix is Arize's observability platform — run locally in a notebook or as a hosted service. Especially strong for inspecting RAG pipelines, finding bad chunks, and tracking retrieval quality over time.

    Source-available, runs locally
    Less polished than hosted SaaS evals
    • tracing
    • rag
    • retrieval-debugging