Learn how Arize Phoenix and LangWatch 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.
Last 30 days
Last commit
6 hours agoRepository age
4 yearsVersion
v3.9.4License
Elastic-2.0Self-hosted
YesRepository
arize-ai/phoenix
Last 30 days
Last commit
2 hours agoRepository age
3 yearsVersion
3.21.0License
Apache-2.0Repository
langwatch/langwatch
Arize Phoenix appears to have several advantages over LangWatch, particularly in popularity, growth and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Arize Phoenix leads in popularity with 11,985 stars vs 4,991 stars for LangWatch. The 140% higher star count indicates stronger community adoption. In terms of developer contributions, Arize Phoenix has 1,237 forks, indicating strong developer engagement.
Arize Phoenix is growing faster, adding 381 stars in the last 30 days (+3.3%) against adding 119 stars for LangWatch (+2.4%). Arize Phoenix is both larger and pulling further ahead.
Both projects show recent activity, with Arize Phoenix last updated 6 hours ago and LangWatch 2 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python. However, they differ in their additional technology choices: LangWatch leverages Golang, SCSS, Ruby.
Both projects started around the same time, with Arize Phoenix beginning 4 years ago and LangWatch 3 years ago.
The projects use different licenses: Arize Phoenix is licensed under Elastic-2.0 while LangWatch uses Apache-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in LLM Observability & Evaluation.
Arize Phoenix provides self-hosting options for complete data control and customization, while LangWatch may be primarily cloud-based or require different deployment approaches.
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