Langfuse vs MLflow
On the evidence we track, MLflow leads this comparison with a composite score of 76/100. 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 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
MLflow
LeaderA comprehensive, open-source platform that provides experiment tracking, model registry, LLM tracing, prompt management, and deployment capabilities across the complete machine learning and AI lifecycle
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
- LiteLLM
- Pydantic AI
- OpenAI
- Anthropic
- Google Gemini
Langfuse
- Vercel AI SDK
- Google ADK
- CrewAI
- LiveKit
- Haystack
- LlamaIndex
- Amazon Bedrock
- Azure OpenAI
- Mistral AI
- xAI
- vLLM
- Groq
- OpenAI SDK
- Cohere
- Elasticsearch
- OpenSearch
- Hugging Face
MLflow
Leader- Databricks
- AWS S3
- Google Cloud Storage
- Azure Storage
- AzureML
- Kubernetes
- Anthropic Claude
- SAP AI Core
- JFrog
- Aliyun
- PostgreSQL
- MySQL
- MSSQL
- Claude Code
- OpenAI Codex
- Gemini
- Ollama
- OpenClaw
- Qwen Code
- Amazon S3
- OpenTelemetry/OTLP
- OpenAI-compatible endpoints
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.