Learn how Paseo 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
8 hours agoRepository age
1 yearVersion
v0.12.0License
Apache-2.0Self-hosted
YesRepository
getpaseo/paseo
Last 30 days
Last commit
7 hours agoRepository age
1 yearVersion
v1.40.0License
Elastic-2.0Repository
superset-sh/superset
Paseo appears to have several advantages over Superset, particularly in growth and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with Paseo having 21,807 stars and Superset having 15,500 stars on GitHub. In terms of developer contributions, Paseo has 2,624 forks, indicating strong developer engagement.
Paseo is growing faster, adding 3,632 stars in the last 30 days (+20%) against adding 959 stars for Superset (+6.6%). Paseo is both larger and pulling further ahead.
Both projects show recent activity, with Paseo last updated 8 hours ago and Superset 7 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Swift. However, they differ in their additional technology choices: Paseo uses Ruby, Kotlin, Tanstack Start while Superset leverages Python, Next.js, C++.
Both projects started around the same time, with Paseo beginning 1 year ago and Superset 1 year ago.
The projects use different licenses: Paseo 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.
Paseo provides self-hosting options for complete data control and customization, while Superset may be primarily cloud-based or require different deployment approaches.