Comparison

Arize AI vs Langfuse

No leader: the top candidate Arize AI has only 0.32 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Arize AI71
Langfuse64
Score
Vioscale score
Arize AI71 / 100low · 32%updating
Langfuse64 / 100medium · 66%updating
Pricing
Free tier
Arize AI
Langfuse
Model
Arize AIcommercial
Langfusefreemium
Price level
Arize AI
Langfuselow
Transparent
Arize AI
Langfuse
Integrations
Count
Arize AI25
Langfuse100
Security
Gdpr
Arize AI
Langfuse
Hipaa
Arize AI
Langfuse
Iso27001
Arize AI
Langfuse
Pci
Arize AI
Langfuse
Soc2
Arize AI
Langfuse
Reliability
Status page
Arize AI
Langfuse
Adoption
Dependent repos
Arize AI
Langfuse0
Github stars
Arize AI
Langfuse33,763
Package downloads weekly
Arize AI
Langfuse6,083,004
Activity
Commits last 30d
Arize AI
Langfuse100
Release
History
Arize AI
Langfuse20 items
License
Spdx
Arize AI
LangfuseMIT
Language
Primary
Arize AI
LangfuseTypeScript
Market
Availability
Arize AI

Capabilities

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

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

What each one is

The product in its own terms, so the numbers below have context.

Arize AI

An AI engineering platform that enables teams to observe agent behavior end-to-end, run evaluations at scale, and systematically improve agents through testing and experimentation, available as both a managed cloud service and self-hosted deployment.

Independently observed

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

Pricing

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

Arize AI

Pricing not documented yet.

Langfuse

SubscriptionFree tier

Multiple tiers available; specific pricing not shown in provided text

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

Platform & deployment

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

Platforms
Web
Arize AI
Langfuse
CLI
Arize AI
Langfuse
Deployment
Cloud / SaaS
Arize AI
Langfuse
Self-hosted
Arize AI
Langfuse
On-premise
Arize AI
Langfuse

Integrations

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

In common (7)
  • OpenAI
  • Anthropic
  • Azure OpenAI
  • LiteLLM
  • Vercel AI SDK
  • CrewAI
  • LlamaIndex

Arize AI

25 total - 18 not shared
  • AWS Bedrock
  • Vertex AI
  • Google GenAI
  • NVIDIA NIM
  • Gemini
  • OpenRouter
  • Claude Code
  • Cursor
  • OpenCode
  • LangGraph
  • Mastra
  • DSPy
  • OpenAI Agents SDK
  • Claude Agent SDK
  • BigQuery
  • Databricks
  • Snowflake
  • OpenTelemetry
Independently observed

Langfuse

23 total - 16 not shared
  • LangChain
  • Pydantic AI
  • Google ADK
  • LiveKit
  • Haystack
  • Amazon Bedrock
  • Mistral AI
  • Google Gemini
  • xAI
  • vLLM
  • Groq
  • OpenAI SDK
  • Cohere
  • Elasticsearch
  • OpenSearch
  • Hugging Face
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.