These tools competes with

LangfusevsMLflow

OSS LLM engineering platform (acquired by ClickHouse, Jan 2026) versus Open-source MLOps platform with LLM experiment tracking and tracing

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Choose Langfuse when…

  • •You want open-source LLM observability
  • •Self-hosting your tracing stack is important
  • •You need cost tracking across models and users

Choose MLflow when…

  • •already using MLflow for ML experiments and want LLM tracking too
  • •running on Databricks and want native platform observability
  • •need unified tracking for both traditional ML and LLM workloads

Side-by-side comparison

Field
Langfuse
MLflow
Category
Observability
Observability
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Cloud: $59/mo
Open Source: FreeDatabricks Managed: Included with Databricks
GitHub Stars
⭐ 7,000
⭐ 19,800
Health
●95 — Active
●90 — Active

Langfuse

Open-source platform for tracing, evaluations, and prompt management. Self-hostable alternative to LangSmith with broad framework support. Acquired by ClickHouse in January 2026; OSS core continues with deeper ClickHouse-backed analytics.

Website ↗GitHub ↗

MLflow

MLflow is an open-source platform for managing the full ML lifecycle, now extended with native LLM tracking and tracing. It captures prompts, responses, latency, and costs in MLflow Tracing, integrates with LangChain and OpenAI, and provides a unified experiment UI.

Website ↗GitHub ↗

Only Langfuse (31)

Claude CodeCrewAICursorLangGraphLangChainOpenHandsAutoGenLlamaIndexDifyMastra

Only MLflow (1)

Langfuse

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