Opik

Self-hostable tracing, evaluation and prompt management for LLM apps and agents, from Comet.

Open SourceSelf Hosted
0.0 (0)

About

Comet maintains Opik as a self-hostable platform for watching what LLM apps and agents do. A Python SDK (pip install opik) and a TypeScript SDK send nested traces through a @track decorator, integrations for LangChain, LlamaIndex, CrewAI, Google ADK and Agno, or plain OpenTelemetry. On the server side, a Java service and a React web app backed by ClickHouse, MySQL and Redis store those traces and add datasets, side-by-side experiment runs, LLM-as-a-judge scoring for hallucination or moderation, a prompt playground with versioned prompts, online scoring rules for live traffic, and a PyTest hook for CI. Extra packages cover an agent optimizer that tunes prompts automatically, a guardrails service, and an MCP server so coding agents can query traces. Running it locally means cloning the repo and starting opik.sh or opik.ps1, which launches everything in Docker Compose; a Helm chart handles Kubernetes. The whole stack, backend included, is Apache-2.0, so commercial self-hosting needs nothing from Comet, which also sells a hosted cloud. A sensible pick for teams that want LangSmith-style visibility while keeping trace data in house.

Should you use Opik?

Pick it when

Pick Opik when you want tracing, evaluation metrics, datasets, and experiments in one Apache-2.0 platform you self-host with Docker, especially if automatic prompt and tool optimization appeals or your team already uses Comet.

Look elsewhere when

Skip it if you want proxy-style capture with caching, where Helicone fits, or agent simulation tests, which LangWatch offers. For Pytest regression checks without running a server, DeepEval is lighter.

Alternatives to Opik

  • Langfuse

    Similar tracing, eval, and prompt platform under MIT with a hosted free tier; no automatic prompt or tool optimization.

  • DeepEval

    Library-only Pytest workflow with 30+ metrics and no server to host; dashboards require the optional Confident AI cloud.

  • LangSmith

    Managed commercial alternative with annotation queues and online evaluators; nothing to host, but closed source.

Reviews (0)

Leave a Review

No reviews yet. Be the first to review!