Which is more popular, Langfuse or MLflow?

Langfuse has more GitHub stars (35,238 vs 28,200).

Which is more actively developed, Langfuse or MLflow?

Langfuse had more commits in the last 90 days (2,012 vs 1,039).

Should I use Langfuse or MLflow?

Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.

Langfuse vs MLflow

Side-by-side comparison of two AI agent tools

Langfuseopen-source

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

MLflowopen-source

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-

Metrics

	Langfuse	MLflow
Stars	35.2k	28.2k
Star velocity /mo	1.8k	2.4k
Commits (90d)	2.0k	1.0k
Releases (6m)	10	10
Overall score	0.8657747415446055	0.8636875646763776

Pros

+Open source with MIT license allowing full customization and transparency, plus active community support
+Comprehensive feature set combining observability, prompt management, evaluations, and datasets in one platform
+Extensive integrations with major LLM frameworks and tools including OpenTelemetry, LangChain, and OpenAI SDK

Cons

-May require significant setup and configuration for self-hosted deployments
-Could be overwhelming for simple use cases that only need basic LLM monitoring
-Self-hosting requires technical expertise and infrastructure resources

Use Cases

•Production LLM application monitoring to track performance, costs, and identify issues in real-time
•Prompt engineering and management for teams collaborating on optimizing model prompts and tracking versions
•LLM evaluation and testing to measure model performance across different datasets and use cases

View Langfuse Details View MLflow Details

FAQ

Which is more popular, Langfuse or MLflow?: Langfuse has more GitHub stars (35,238 vs 28,200).
Which is more actively developed, Langfuse or MLflow?: Langfuse had more commits in the last 90 days (2,012 vs 1,039).
Should I use Langfuse or MLflow?: Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.