Learn how Jean 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
9 hours agoRepository age
9 monthsVersion
v1.0.12License
Apache-2.0Self-hosted
YesRepository
coollabsio/jean
Last 30 days
Last commit
8 hours agoRepository age
1 yearVersion
v1.40.0License
Elastic-2.0Repository
superset-sh/superset
Both Jean 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 Jean in community adoption with 15,500 stars compared to 1,357 stars on GitHub. This 11.4x 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.
Superset is growing faster, adding 959 stars in the last 30 days (+6.6%) against adding 65 stars for Jean (+5%). Superset is both larger and pulling further ahead.
Both projects show recent activity, with Jean last updated 9 hours ago and Superset 8 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Jean uses Rust, Tauri while Superset leverages Python, Next.js, Swift, C++.
Both projects started around the same time, with Jean beginning 9 months ago and Superset 1 year ago.
The projects use different licenses: Jean 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.
Jean provides self-hosting options for complete data control and customization, while Superset may be primarily cloud-based or require different deployment approaches.