LangWatch vs LangSmith vs LangFuse
How they differ across LLM observability, evaluations, guardrails, and production readiness, feature by feature.
| Feature | LangWatch | LangSmith | LangFuse |
|---|---|---|---|
| Messages | |||
| Threads | |||
| Annotations | |||
| Datasets | |||
| LLM metrics | |||
| User feedback | |||
| Run locally | |||
| User & product analytics | 3rd party only | 3rd party only | |
| Custom dashboards | |||
| Topic clustering | — | — | |
| Evaluations | LLM-as-judge only | LLM-as-judge only | |
| Guardrails | — | — | |
| RAG evaluations & context tracking | — | — | |
| Prompt playground | no model comparison | no model comparison | |
| Included LLM models | a few options | set up each one | |
| Automatic PII redaction | — | — | |
| DSPy experiment visualization | — | — | |
| Batch evaluations | LLM-as-judge only | LLM-as-judge only | |
| Export all your messages | — | ||
| Triggers and alerts | not on evaluations | — | |
| Message semantic search | — | — | |
| User events | — | — | |
| User satisfaction sentiment | — | — | |
| Embed dashboards in your app | — | — | |
| Orgs, projects & role-based access | no org entity | ||
| External access role for customers | — | — | |
| OpenTelemetry native | low-level OTEL only | — | |
| Agent simulations | — | — | |
| Annotations UI for collaboration | — |
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