Learn how Arize Phoenix and **OpenLIT ** 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
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Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Repository

Arize Phoenix appears to have several advantages over **OpenLIT **, particularly in popularity, growth, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Arize Phoenix significantly outpaces **OpenLIT ** in community adoption with 11,120 stars compared to 2,703 stars on GitHub. This 4.1x difference suggests Arize Phoenix has a much larger and more active community. In terms of developer contributions, Arize Phoenix has 1,067 forks, indicating strong developer engagement.
Arize Phoenix is growing faster, adding 462 stars in the last 30 days (+4.3%) against adding 75 stars for OpenLIT ** (+2.9%**). Arize Phoenix is both larger and pulling further ahead.
Both projects show recent activity, with Arize Phoenix last updated 11 hours ago and **OpenLIT ** 9 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: **OpenLIT ** leverages Next.js, Golang, C, Objective-C.
Arize Phoenix has been in development longer, starting 4 years ago, compared to **OpenLIT ** which began 3 years ago. This 1.2-year head start suggests Arize Phoenix may have more mature features and established processes.
The projects use different licenses: Arize Phoenix is licensed under Elastic-2.0 while **OpenLIT ** 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 **OpenLIT ** may be primarily cloud-based or require different deployment approaches.