Ad
 
Learn More

Orca vs Superset

Learn how Orca 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.

vs
Favicon of Orca

Orca

AI
Agent Development Environment that runs Claude Code, Codex, Gemini, and other CLI agents in parallel across isolated git worktrees, with terminals, browser, diff review, and git tools built in.
48,605stars+25,269(+108%)

Last 30 days

  • Last commit


    4 hours ago
  • Repository age


    5 months
  • Version


    v1.4.185
  • License


    MIT
  • Repository


    stablyai/orca
Screenshot of Orca
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.
13,066stars+545(+4.4%)

Last 30 days

Screenshot of Superset

Detailed Comparison

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

Orca wins
Community & Popularity

Orca significantly outpaces Superset in community adoption with 48,605 stars compared to 13,066 stars on GitHub. This 3.7x difference suggests Orca has a much larger and more active community. In terms of developer contributions, Orca has 3,368 forks, indicating strong developer engagement.

Orca wins
Growth Momentum

Orca is growing faster, adding 25,269 stars in the last 30 days (+108%) against adding 545 stars for Superset (+4.4%). Orca is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with Orca last updated 4 hours ago and Superset 5 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Swift. However, they differ in their additional technology choices: Orca uses Ruby, Kotlin while Superset leverages Next.js, C++.

Comparable
Project Maturity

Both projects started around the same time, with Orca beginning 5 months ago and Superset 10 months ago.

Orca wins
Licensing

Orca uses the MIT license, which is more permissive than Superset's Elastic-2.0 license, potentially offering greater flexibility for commercial use and integration.

Comparable
Use Cases & Features

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