Langfuse vs Opik
On the evidence we track, Langfuse leads this comparison with a composite score of 66/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for llm observability. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Langfuse
LeaderA 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
Opik
A comprehensive observability and evaluation platform for debugging, testing, and monitoring LLM applications through detailed execution traces, prompt experimentation, and production dashboards.
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.
- OpenTelemetry
Langfuse
Leader- LangChain
- Vercel AI SDK
- LiteLLM
- Pydantic AI
- Google ADK
- CrewAI
- LiveKit
- Haystack
- LlamaIndex
- OpenAI
- Anthropic
- Amazon Bedrock
- Azure OpenAI
- Mistral AI
- Google Gemini
- xAI
- vLLM
- Groq
- OpenAI SDK
- Cohere
- Elasticsearch
- OpenSearch
- Hugging Face
Opik
- OpenTelemetry
Langfuse or Opik: 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.