Opik
Self-hostable tracing, evaluation and prompt management for LLM apps and agents, from Comet.
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.
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Details
- Category
- AI Observability & Evaluation
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- Apr 3, 2026