Compare / MLflow vs Langfuse
MLflow vs Langfuse
Pick MLflow if the job is training and eval runs (the published Weights and Biases stack). Pick Langfuse if the job is LLM traces (the published LangSmith stack — skip ee/).
Facts checked 21 Oct 2026. License, language, and GitHub activity come from the catalog or the project's own repo. "Not in the catalog row" means the public catalog dump does not store that number.
MLflow in the catalog Langfuse in the catalog Start on Railway
How they compare
| MLflow | Langfuse | |
|---|---|---|
| License | Apache-2.0 (catalog) source | MIT core (catalog; skip ee/) source |
| Language | Python (catalog) | TypeScript (catalog) |
| GitHub activity | 28,480 stars in the catalog source | 36,145 stars in the catalog source |
| Self-host | Published as /stacks/mlflow-tracking. Runs, params, artifacts. | Published as /stacks/langfuse-observe. Traces and evals. Skip ee/. |
| Best for | Training runs instead of Weights and Biases. | LLM traces instead of LangSmith. |
Self-hosting and resource needs
They solve different jobs. MLflow is /stacks/mlflow-tracking. Langfuse is /stacks/langfuse-observe. Aim is the other W&B sibling — /compare/mlflow-vs-aim. Helicone is the other LangSmith sibling — /compare/langfuse-vs-helicone.
FAQ
- Can I run both?
- Yes. Different jobs. Do not merge them into one product.
- Where is Aim?
- /compare/mlflow-vs-aim.
- Are these free?
- MLflow is Apache-2.0. Langfuse core is MIT. You pay hosting and tokens.
- How do I deploy them?
- Open /stacks/mlflow-tracking or /stacks/langfuse-observe. Persist the store. Log one run or one trace.
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