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Paseo vs Superset

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.

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Favicon of Paseo

Paseo

AI
Self-hosted orchestrator for coding agents like Claude Code, Codex, and Cursor, controlled from phone, desktop, web, or CLI.
14,582stars+1,229(+9.2%)

Last 30 days

Sponsor Paseo ongithub.com
Screenshot of Paseo
Favicon of Superset

Superset

AI
macOS app that orchestrates multiple AI coding agents simultaneously, each in its own isolated Git worktree, so you can work on many tasks at once.
13,206stars+637(+5.1%)

Last 30 days

Screenshot of Superset

Detailed Comparison

Paseo appears to have several advantages over Superset, particularly in growth and features. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.

Comparable
Community & Popularity

Both tools have similar popularity levels, with Paseo having 14,582 stars and Superset having 13,206 stars on GitHub. In terms of developer contributions, Paseo has 1,543 forks, indicating strong developer engagement.

Paseo wins
Growth Momentum

Paseo is growing faster, adding 1,229 stars in the last 30 days (+9.2%) against adding 637 stars for Superset (+5.1%). Paseo is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with Paseo last updated 16 hours ago and Superset 10 hours ago.

Comparable
Project Maturity

Both projects started around the same time, with Paseo beginning 10 months ago and Superset 10 months ago.

Comparable
Licensing

The projects use different licenses: Paseo is licensed under AGPL-3.0 while Superset uses Elastic-2.0. Consider the licensing requirements when choosing for your project.

Comparable
Use Cases & Features

Both tools serve similar use cases in AI Coding Agent Orchestrators.

Paseo wins
Hosting & Deployment

Paseo provides self-hosting options for complete data control and customization, while Superset may be primarily cloud-based or require different deployment approaches.