LangSmith vs Traceloop
A side-by-side comparison of LangSmith and Traceloop, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | LangSmith | Traceloop |
|---|---|---|
| Category | Observability | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Cloud | Hybrid |
| Platforms (differs) | API, Web | Web, API |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | LangChain | Traceloop |
The honest brief
LangSmith
Deepest native LangChain/LangGraph tracing — but cloud-only, where Langfuse lets you self-host the same.
- Native LangChain/LangGraph tracing
- Works standalone via SDKs
- Datasets + eval orchestration
- Prompt playground built in
- Closed source, cloud-only
- Self-host is Enterprise-only
- Best value inside LangChain stack
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