What is the main difference between Arize Phoenix and Langfuse?

Arize Phoenix and Langfuse are both llm observability & evaluation but differ in their approach, features, and target audience. Compare their GitHub stats, technology stack, and community adoption to make the best choice.

Which is better: Arize Phoenix or Langfuse?

The choice between Arize Phoenix and Langfuse depends on your specific needs, technical requirements, and team preferences. Both are quality open source solutions with active communities.

Can I migrate from Arize Phoenix to Langfuse?

Migration between Arize Phoenix and Langfuse is possible but requires careful planning. Consider data export/import capabilities, feature parity, and potential workflow changes.

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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 observability & evaluation is best for you.

Arize Phoenix

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

Visit Arize Phoenix Read more

11,646stars+399(+3.5%)

Last 30 days

Last commit
15 hours ago
Repository age
4 years
Version
v0.17.2
License
Elastic-2.0
Self-hosted
Yes
Repository
arize-ai/phoenix

Langfuse

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

Visit Langfuse Read more

35,180stars+1,248(+3.7%)

Last 30 days

Last commit
13 hours ago
Repository age
3 years
Version
v4.46.0
License
MIT
Self-hosted
Yes
Repository
langfuse/langfuse

Detailed Comparison

Langfuse appears to have several advantages over Arize Phoenix, particularly in popularity 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 35,180 stars compared to 11,646 stars on GitHub. This 3.0x difference suggests Langfuse has a much larger and more active community. In terms of developer contributions, Langfuse has 3,873 forks, indicating strong developer engagement.

Comparable

Growth Momentum

Arize Phoenix and Langfuse are moving at much the same rate, adding 399 stars and adding 1,248 stars respectively over the last 30 days (+3.5% vs +3.7%). Neither is pulling away from the other on momentum alone.

Comparable

Development Activity

Both projects show recent activity, with Arize Phoenix last updated 15 hours ago and Langfuse 13 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