Comet OpikFreemium
An open-source platform for LLM evaluation, tracing, and production monitoring, from the team behind the Comet ML experiment-tracking tool.
Analytics comparison
Comet Opik vs Langfuse
Pricing, pros, cons, and ideal use cases — side by side.
LangfuseFreemium
An open-source observability and evaluation platform for LLM applications — tracing, prompt management, evals, and cost monitoring.
At a glance
| Comet Opik | Langfuse | |
|---|---|---|
| Pricing | FreemiumOpen-source and free to self-host. Comet offers managed and enterprise plans. | FreemiumOpen-source and free to self-host. Langfuse Cloud offers free and paid managed tiers. |
| Category | Analytics | Analytics |
| Ideal for | Teams needing open-source LLM observabilityEnterprises with data-residency requirementsExisting Comet ML users | Teams running LLM apps and agents in productionEnterprises needing self-hosted observabilityEngineering orgs standardizing AI tracing and evals |
Pros & cons
Comet Opik
Pros
- Open-source tracing, evals, and monitoring
- Backed by an established ML tooling company
- Self-hostable for data residency
- Built-in and custom evaluation metrics
Cons
- Crowded category with strong alternatives
- Self-hosting adds operational work
- Choice often comes down to ecosystem fit
Langfuse
Pros
- Full tracing for LLM and agent applications
- Open-source and self-hostable for data residency
- Prompt management, evals, and cost analytics
- Framework-agnostic
Cons
- Self-hosting adds operational work
- Eval design is still real effort
- Trace volume can grow storage needs at scale
Which should you choose?
Comet Opik is built around teams needing open-source llm observability; Langfuse leans more toward teams running llm apps and agents in production. Shortlist the one whose strengths line up with your biggest constraint.