Braintrust vs Langfuse

Choose Braintrust if…

Best for teams shipping LLM applications who need systematic proof that a prompt or model change actually improved quality, and its edge is integrates evaluation directly into CI/CD so evals run automatically on every change, not as a manual afterthought. Best-in-class for rigorous LLM evaluation workflows, real overkill for a simple single-prompt application. Lean toward Langfuse instead if one of the strongest open-source LLM observability platforms, working with any provider rather than locking you in matters more for your use case.

Choose Langfuse if…

Best for engineering teams who need production visibility into LLM application behavior that standard monitoring tools miss, and its edge is one of the strongest open-source LLM observability platforms, working with any provider rather than locking you in. A genuinely capable eval and monitoring layer, setup requires real SDK integration into your codebase. Lean toward Braintrust instead if integrates evaluation directly into CI/CD so evals run automatically on every change, not as a manual afterthought matters more for your use case.