Laminar vs Langfuse
A side-by-side comparison of Laminar and Langfuse, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Langfuse
ObservabilityOpen-source LLM observability. Self-hostable, OpenTelemetry-native.
View LangfuseAt a glance
| Attribute | Laminar | Langfuse |
|---|---|---|
| Category | Observability | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms | API, Web | API, Web |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Laminar | Langfuse |
The honest brief
Laminar
Agent-first tracing in one line of code, with an evals SDK in the same stack — not a general LLM logger bolted onto agents.
- Self-hostable, Apache-2.0 licensed
- OpenTelemetry-native, vendor-portable
- Built for long-running agents
- Tracing + evals in one platform
- Younger than LangSmith/Langfuse
- Smaller ecosystem and integrations
- Self-host adds infra overhead
Langfuse
The MIT-licensed, self-hostable answer to LangSmith — own your observability data, framework-agnostic.
- Own your observability data
- Framework-agnostic, OTel-native
- Tracing + evals + prompt mgmt
- Transparent unit-based pricing
- Self-host infra cost at scale
- Less deep LangChain integration
- Setup heavier than hosted-only