Langfuse vs. Langsmith
Compare Langfuse vs. Langsmith for Observability. We want you to choose the most suitable tool for your use case, even if it’s not us.
As cloud-native environments continue to grow in complexity, observability has become essential for ensuring the reliability, performance, and scalability of modern applications. From monitoring infrastructure health, enabling deep visibility into distributed systems, or getting real-time insights into reasoning paths, token usage of LLM Agentic applications. However, traditional vendors sliced visibility into separate products (APM, Log Management, Infrastructure Monitoring, LLM Observability) and priced them in ways that forced tradeoffs making it important for team to choosing the right observability platform is critical to operational success.
The right choice depends on your priorities: cost, control, scale, and flexibility. In the following sections, we’ll compare both platforms to help you determine which best fits your needs, even if the answer isn’t us.
Langfuse vs. Langsmith at a glance
* OpenTelemetry
* OpenTelemetry
Langfuse vs. Langsmith at a glance
Langfuse vs. Langsmith at a glance
Langfuse vs. Langsmith at a glance
Langfuse overview
A popular open-source (MIT) LLM observability project, self-hostable for teams with strict data-residency needs. Strong for engineering-led teams happy to run and scale their own stack; now part of ClickHouse.
Langsmith overview
The commercial "agent engineering platform" from the LangChain team, offering the tightest integration for teams building on LangChain and LangGraph. Strong zero-config experience inside that ecosystem; the product is closed-source SaaS (distinct from the open-source framework) and prices per trace.
.svg)