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Arize Phoenix vs Langfuse

Learn how Arize Phoenix and Langfuse differ in their key features, development activity, technology stack and community adoption, so you can decide which of these llm application frameworks is best for you.

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Favicon of Arize Phoenix

Arize Phoenix

Open-source platform for LLM tracing, evaluation, and optimization. Features automatic instrumentation, prompt playground, and real-time AI application monitoring.
  • Stars


    10,213
  • Forks


    938
  • Last commit


    22 hours ago
  • Repository age


    4 years
  • Self-hosted


    Yes
View Repository
Screenshot of Arize Phoenix
Favicon of Langfuse

Langfuse

Langfuse provides tracing, evaluations, prompt management, and analytics to debug and improve LLM applications.
  • Stars


    29,424
  • Forks


    3,058
  • Last commit


    19 hours ago
  • Repository age


    3 years
  • Self-hosted


    Yes
View Repository
Screenshot of Langfuse

Detailed Comparison

Both Arize Phoenix and Langfuse have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity and features when making your decision.

Langfuse wins
Community & Popularity

Langfuse leads in popularity with 29,424 stars vs 10,213 stars for Arize Phoenix. The 188% higher star count indicates stronger community adoption. In terms of developer contributions, Langfuse has 3,058 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Arize Phoenix last updated 22 hours ago and Langfuse 19 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Arize Phoenix uses Python while Langfuse leverages Next.js.

Comparable
Project Maturity

Both projects started around the same time, with Arize Phoenix beginning 4 years ago and Langfuse 3 years ago.

Comparable
Use Cases & Features

Both tools serve similar use cases in LLM Application Frameworks, AI Integration Platforms.

Comparable
Hosting & Deployment

Both Arize Phoenix and Langfuse offer self-hosting capabilities, giving you full control over your data and infrastructure.

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