{"name":"Langfuse","slug":"langfuse","category":"observability","type":"hybrid","website":"https://langfuse.com","pricing":"freemium","pricing_tiers":["Free (self-hosted)","Free cloud (50k observations)","$59/mo Pro","Custom Enterprise"],"open_source":true,"self_hosted":true,"sdk_languages":["python","javascript","typescript"],"frameworks":["langchain","llamaindex","vercel-ai","openai-agents"],"agent_features":{"llm_tracing":true,"cost_tracking":true,"evaluation":true,"prompt_management":true,"real_time_monitoring":true},"compliance":["soc2","gdpr"],"best_for":"Open-source LLM tracing, prompt management, and evaluation — self-hostable with broad framework support","limitations":"Smaller ecosystem than Datadog; self-hosted requires Postgres + ClickHouse; evaluation features are still maturing","verified_by":"editorial","last_verified":"2026-04-28","source_urls":{"docs":"https://langfuse.com/docs","pricing":"https://langfuse.com/pricing","changelog":"https://langfuse.com/changelog"},"feature_labels":{"llm_tracing":"Trace LLM calls, tool invocations, and agent reasoning steps end-to-end","cost_tracking":"Track token usage and cost per request, per agent run, and per model","evaluation":"Score agent outputs against test datasets with automated evaluators","prompt_management":"Version, manage, and A/B test prompts in production","real_time_monitoring":"Live dashboards and alerting for agent performance metrics"},"comparisons":[{"slug":"datadog-vs-langfuse","title":"Datadog vs Langfuse","vs":"datadog"},{"slug":"grafana-vs-langfuse","title":"Grafana vs Langfuse","vs":"grafana"},{"slug":"helicone-vs-langfuse","title":"Helicone vs Langfuse","vs":"helicone"},{"slug":"langfuse-vs-datadog","title":"Langfuse vs Datadog","vs":"datadog"},{"slug":"langfuse-vs-langsmith","title":"Langfuse vs LangSmith","vs":"langsmith"}],"body":"# Langfuse\n\nLangfuse is an open-source observability platform built specifically for LLM applications. It provides tracing, prompt management, evaluation, and dataset curation — all focused on the AI agent development lifecycle.\n\nIts decorator-based Python SDK and JS integration make it straightforward to add tracing to LangChain, LlamaIndex, Vercel AI, and OpenAI agent workflows. The self-hosted option (MIT license) is a major differentiator for teams with data residency requirements."}