Comparison

Langfuse vs MLflow

No clear leader: MLflow (70.4) and Langfuse (66.4) 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.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Langfuse66
MLflow70
Score
vioscaleAI score
Langfuse66 / 100medium · 56%
MLflow70 / 100medium · 67%
Pricing
Free tier
Langfuse✓
MLflow✓
Model
Langfusefreemium
Price level
Langfusefree
MLflowfree
Transparent
Langfuse✗
MLflow✓
Integrations
Count
Langfuse100
MLflow9
Reliability
Status page
Langfuse✓
MLflow–
Adoption
Dependent repos
Langfuse0
MLflow5,089
Github stars
Langfuse35,781
MLflow28,260
Package downloads weekly
Langfuse6,493,381
MLflow9,993,245
Activity
Commits last 30d
Langfuse100
MLflow100
Release
Cadence days
Langfuse–
MLflow9
History
Langfuse20 items
MLflow20 items
License
Spdx
LangfuseMIT
Language
Primary
LangfuseTypeScript
MLflowPython
Market
Availability
MLflow–
Content
Faq
Langfuse7 items
MLflow6 items

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Core
Tool role
LangfuseLLM observability / eval
MLflowEnd-to-end ML platform
Deployment
Self-hostable / OSS core
Langfuse✓
MLflow✓
Managed cloud available
Langfuse✓
MLflow✓
On-prem / VPC deployment
Langfuse✓
MLflow✓
Observability
LLM tracing / observability
Langfuse✓
MLflow✓
Evaluation (offline / LLM-judge / human)
Langfuse✓
MLflow✓
Dev
Prompt management + versioning
Langfuse✓
MLflow✓
Tracking
Experiment tracking / model registry
Langfuse✓
MLflow✓
Serving
Model serving / inference endpoint
Langfuse✗
MLflow✓
Interop
OpenTelemetry / OpenLLMetry compatible
Langfuse✓
MLflow✓
Framework-agnostic
Langfuse✓
MLflow✓
Gateway
Multi-provider model support
Langfuse✓
MLflow✓
Data
No-train-on-customer-data guarantee
Langfuse-
MLflow-

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

Independently observed

MLflow

A comprehensive platform that helps teams debug, evaluate, monitor, and optimize production AI applications. Provides experiment tracking, prompt management, model deployment, systematic evaluation tools, and a unified API gateway for managing access to multiple LLM providers with cost controls.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Langfuse

SubscriptionFree tier

Multiple tiers available; specific pricing not shown in provided text

  • HobbyFree
  • Core-
  • Enterprise-
as of verify ↗

MLflow

Open source
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Langfuse✓
MLflow✓
CLI
Langfuse✗
MLflow✓
Deployment
Cloud / SaaS
Langfuse✓
MLflow✓
Self-hosted
Langfuse✓
MLflow✓
On-premise
Langfuse✗
MLflow✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (7)
  • LangChain
  • LiteLLM
  • Pydantic AI
  • OpenAI
  • Anthropic
  • Google Gemini
  • OpenTelemetry

Langfuse

24 total - 17 not shared
  • 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
Independently observed

MLflow

32 total - 25 not shared
  • 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
  • Azure ML
  • AWS SageMaker
  • +1 more
Independently observed
Still deciding?

Langfuse or MLflow: 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.