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EvalSnowflake

TruLens

Open-source evaluation and tracing for LLM and agent apps.

Categories
EvalObservability
Pricing
FREE
Platforms
CLIAPI
Models
BYO key / model
Verified
Jun 13, 2026

TruLens is an open-source Python library for evaluating and tracing LLM, RAG, and agent applications. You wrap your app with feedback functions that score outputs on metrics like groundedness, context relevance, and answer relevance, then trace runs and compare versions on a metrics leaderboard. It integrates OpenTelemetry tracing and runs locally with a built-in dashboard.

Capabilities 2

What it actually does — grouped by capability family.

  • LLM evaluation (primary capability)
  • LLM observability (secondary capability)

Pros & cons

  • OpenTelemetry tracing, runs locally
  • RAG Triad feedback functions built in
  • Provider-agnostic LLM-as-judge metrics
  • Leaderboard to compare app versions
  • Python library, no hosted SaaS
  • Smaller community than LangSmith/Langfuse
  • Setup to wire feedback providers

Tags

Further reading

View all Eval
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    Exploding Gradients

    Evaluation toolkit for RAG and LLM applications.

    Open-source (Apache-2.0) Python framework for evaluating retrieval-augmented generation and LLM apps. Provides reference-free metrics — faithfulness, answer relevancy, context precision/recall — plus knowledge-graph-based synthetic test generation. Integrates with LangChain, LlamaIndex, and CI pipelines.

    Faithfulness & relevancy metrics
    LLM-judge scores add cost/variance
    • eval
    • rag
    • llm-as-judge
    • open-source
    • +1
  • View DeepEval details
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    Confident AI

    Pytest-style framework for evaluating LLM apps in CI.

    Open-source (Apache 2.0) framework for evaluating LLM apps the way Pytest tests code — assertions backed by 50+ ready metrics spanning LLM-as-judge, RAG, agents, conversation, and safety. Plugs into LangChain, CrewAI, OpenAI Agents and more. Confident AI is the paid cloud platform that adds test management, dashboards, and observability on top.

    Assertions run in your CI pipeline
    LLM-as-judge adds cost
    • eval
    • open-source
    • llm-as-judge
    • rag
    • +1
  • 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
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    • 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
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