These tools competes with
MLflowvsLangfuse
Open-source MLOps platform with LLM experiment tracking and tracing versus OSS LLM engineering platform
Compare interactively in Explore →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
Choose Langfuse when…
- •You want open-source LLM observability
- •Self-hosting your tracing stack is important
- •You need cost tracking across models and users
Side-by-side comparison
Field
MLflow
Langfuse
Category
observability
LLM Infrastructure
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Open Source: FreeDatabricks Managed: Included with Databricks
Cloud: $59/mo
GitHub Stars
⭐ 19,800
⭐ 7,000
Health
●75 — Active
●80 — Active
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.
Only MLflow (1)
Langfuse
Only Langfuse (30)
Claude CodeCrewAILangGraphLangChainCursorLlamaIndexOpenHandsDifyMastraAutoGen
Explore the full AI landscape
See how MLflow and Langfuse fit into the bigger picture — 207 tools, 452 relationships, all mapped.