Langfuse vs Weights & Biases
An honest, context-aware comparison. No affiliate links. No paid placements. Just the data that helps you decide.
Langfuse
Open-source LLM engineering platform — trace, evaluate, and debug your AI application in production.
Weights & Biases
The MLOps platform for tracking, visualizing, and optimizing ML experiments and model training.
Side-by-Side Comparison
Objective metrics, no spin.
Every team running LLM applications in production. Langfuse makes debugging, cost tracking, and quality evaluation possible.
Simple prototyping — adds overhead before you have traffic worth monitoring.
Any team training ML models or fine-tuning LLMs. Essential for reproducibility and debugging. Weave is the best LLM observability tool for teams already on W&B.
Pure LLM application teams with no model training — Langfuse or Helicone are lighter-weight LLM-specific options.
Shared Integrations (1)
Both tools connect to these — you won't lose workflow continuity whichever you pick.
Both suited for: small, medium, large companies
Since both tools target small and medium and large companies, your decision should hinge on the specific use case above rather than company fit. Try the AI Advisor to get a recommendation tailored to your exact stack.
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Other AI Observability & MLOps Tools to Consider
If neither is the right fit, these are the next best alternatives in the same category.