Learn how Dray and Superset differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai coding agent orchestrators is best for you.
Last 30 days
Last commit
15 hours agoRepository age
3 monthsVersion
v0.29.7License
Apache-2.0Repository
monorepo-labs/dray
Last 30 days
Last commit
8 hours agoRepository age
1 yearVersion
v1.40.0License
Elastic-2.0Repository
superset-sh/superset
Both Dray and Superset have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Superset significantly outpaces Dray in community adoption with 15,500 stars compared to 118 stars on GitHub. This 131.4x difference suggests Superset has a much larger and more active community. In terms of developer contributions, Superset has 1,371 forks, indicating strong developer engagement.
Dray is growing faster, adding 14 stars in the last 30 days (+13%) against adding 959 stars for Superset (+6.6%). Dray is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Dray last updated 15 hours ago and Superset 8 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js. However, they differ in their additional technology choices: Dray uses Rust, Tauri while Superset leverages Python, Swift, C++.
Both projects started around the same time, with Dray beginning 3 months ago and Superset 1 year ago.
The projects use different licenses: Dray is licensed under Apache-2.0 while Superset uses Elastic-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in AI Coding Agent Orchestrators.