Learn how Onyx and Orama differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai search tools is best for you.
Stars
Forks
Last commit
Repository age
Self-hosted
Auto-fetched .

Stars
Forks
Last commit
Repository age
Self-hosted
Auto-fetched .

Onyx appears to have several advantages over Orama, particularly in popularity and activity. Consider your specific needs regarding popularity, activity, technology, maturity and features when making your decision.
Onyx leads in popularity with 27,338 stars vs 10,293 stars for Orama. The 166% higher star count indicates stronger community adoption. In terms of developer contributions, Onyx has 3,629 forks, indicating strong developer engagement.
Onyx shows more recent development activity with its last commit 2 hours ago, while Orama was last updated 2 months ago. This suggests Onyx is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js. However, they differ in their additional technology choices: Onyx uses Python while Orama leverages Vue.
Both projects started around the same time, with Onyx beginning 3 years ago and Orama 4 years ago.
Both tools serve similar use cases in AI Search Tools. However, they also have distinct specializations: Onyx also focuses on Search Engines while Orama extends into Vector Databases.
Both Onyx and Orama offer self-hosting capabilities, giving you full control over your data and infrastructure.