Ad
 
Learn More

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 observability & evaluation is best for you.

vs
Favicon of Arize Phoenix

Arize Phoenix

AI
Open-source platform for LLM tracing, evaluation, and optimization. Features automatic instrumentation, prompt playground, and real-time AI application monitoring.
11,120stars+462(+4.3%)

Last 30 days

Screenshot of Arize Phoenix
Favicon of Langfuse

Langfuse

AI
Langfuse provides tracing, evaluations, prompt management, and analytics to debug and improve LLM applications.
33,426stars+1,842(+5.8%)

Last 30 days

Screenshot of Langfuse

Detailed Comparison

Langfuse appears to have several advantages over Arize Phoenix, particularly in popularity, growth and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

Langfuse wins
Community & Popularity

Langfuse significantly outpaces Arize Phoenix in community adoption with 33,426 stars compared to 11,120 stars on GitHub. This 3.0x difference suggests Langfuse has a much larger and more active community. In terms of developer contributions, Langfuse has 3,597 forks, indicating strong developer engagement.

Langfuse wins
Growth Momentum

Langfuse is growing faster, adding 1,842 stars in the last 30 days (+5.8%) against adding 462 stars for Arize Phoenix (+4.3%). Langfuse is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with Arize Phoenix last updated 11 hours ago and Langfuse 12 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.

Langfuse wins
Licensing

Langfuse uses the MIT license, which is more permissive than Arize Phoenix's Elastic-2.0 license, potentially offering greater flexibility for commercial use and integration.

Comparable
Use Cases & Features

Both tools serve similar use cases in LLM Observability & Evaluation.

Comparable
Hosting & Deployment

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