Langfuse vs Traceloop
A side-by-side comparison of Langfuse and Traceloop, 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 | Langfuse | Traceloop |
|---|---|---|
| Category | Observability | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | API, Web | Web, API |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Langfuse | Traceloop |
The honest brief
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
Traceloop
Pure OpenTelemetry: OpenLLMetry emits standard OTel spans, so traces flow to Datadog/Honeycomb, not a locked-in store.
- Built on open OpenTelemetry standard
- OpenLLMetry SDK is open source
- Exports to any OTel backend
- No proprietary data lock-in
- Instruments LLM, vector-DB, frameworks
- Hosted dashboard less rich than rivals
- Relies on your existing OTel stack
- Smaller eval tooling than competitors