Langfuse
8.2#1 in prompting toolFrom $29 a monthFree planWebAPILinuxSelf-hosted
VisitLangfuse vs Lunary
What both publish
| Fact | Langfuse | Lunary |
|---|---|---|
| Evaluations | Evaluation supports LLM-as-a-Judge, heuristic or code evaluators, human review, annotation queues, and scoring of production data or experiments. | The evaluation product compares models, settings and prompts against datasets and can run from a dashboard or CI pipeline. |
| Headquarters | Berlin, Germany; San Francisco, United States | San Francisco, California, United States |
| Integrations | Langfuse lists more than 100 integrations spanning OpenTelemetry, Python and TypeScript, model providers, agent frameworks, gateways, and developer tools. | The integrations directory lists Anthropic, Flowise, LangChain, OpenRouter, IBM WatsonX, Mistral, Grok, Fireworks AI, Ragas, Gemini, AWS Bedrock, OpenAI, Azure OpenAI, LiteLLM and other sources. |
| Observability | Hierarchical traces capture LLM calls, tool invocations, and retrieval steps, with filtering by user, session, cost, latency, and metadata. | The product monitors and debugs LLM calls, agents, traces and error stack traces. |
| Product | Langfuse is an open-source AI engineering platform that helps teams collaboratively debug, analyze, and iterate on AI agent applications. | Lunary describes itself as an AI platform for enterprises and a platform for developers of AI chatbots and other LLM-powered applications. |
| Prompt management | Prompt Management provides versioning, one-click deployments, rollbacks, prompt labels, and per-version performance metrics. | Prompt templates support collaboration, versioning and A/B testing. |
Langfuse plans
- HobbyFree
- Core$29 a month
- Pro$199 a month
- Teams Add-on$300 a month
- Enterprise$2,499 a month
Lunary plans
- Team$20 a month
- EnterprisePriced on request
Pick Langfuse if…
Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools. It also supports teams that want to self-host the core on their own infrastructure.
Pick Lunary if…
Lunary suits enterprise teams and developers operating LLM applications who need tracing, analytics, prompt management, or evaluations. Self-hosting may suit customers wanting control of their data.