Langfuse vs Weights & Biases
No clear leader: Langfuse (66.4) and Weights & Biases (64.6) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Langfuse
A comprehensive observability and development platform that combines tracing, prompt management, evaluation, and experimentation, enabling teams to understand LLM behavior in production and ship improved applications with confidence
Weights & Biases
A collaborative development platform that enables tracking of ML experiments, versioning of models, evaluation of AI systems, and deployment to production. It provides specialized observability and tracing capabilities for LLM applications, with support for both managed cloud and self-hosted infrastructure.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- LangChain
- OpenAI
Langfuse
- Vercel AI SDK
- LiteLLM
- Pydantic AI
- Google ADK
- CrewAI
- LiveKit
- Haystack
- LlamaIndex
- Anthropic
- Amazon Bedrock
- Azure OpenAI
- Mistral AI
- Google Gemini
- xAI
- vLLM
- Groq
- OpenAI SDK
- Cohere
- Elasticsearch
- OpenSearch
- Hugging Face
- OpenTelemetry
Weights & Biases
- Alibaba Qwen
- Meta Llama
- Microsoft Phi
- Hangzhou DeepSeek
- Z.ai GLM
- MoonshotAI Kimi
- CoreWeave
- TensorBoard
- AWS Bedrock
- Claude Code
- Google Agent Development Kit
- SambaNova Cloud
- Friendli
- deepset
Langfuse or Weights & Biases: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.