Happy vs Orca
Learn how Happy and Orca 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.
Learn how Happy and Orca 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.
Happy
Last 30 days
Last commit
16 hours agoRepository age
1 yearVersion
1.2.5License
MITSelf-hosted
YesRepository
slopus/happy
Orca
Last 30 days
Last commit
4 hours agoRepository age
8 monthsVersion
v1.4.258License
MITRepository
stablyai/orca
Detailed Comparison
Both Happy and Orca 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.
Both Happy and Orca 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.
Community & Popularity
Orca significantly outpaces Happy in community adoption with 124,932 stars compared to 24,640 stars on GitHub. This 5.1x difference suggests Orca has a much larger and more active community. In terms of developer contributions, Orca has 7,916 forks, indicating strong developer engagement.
Growth Momentum
Orca is growing faster, adding 31,612 stars in the last 30 days (+34%) against adding 421 stars for Happy (+1.7%). Orca is both larger and pulling further ahead.
Development Activity
Both projects show recent activity, with Happy last updated 16 hours ago and Orca 4 hours ago.
Technology Stack
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Swift, Ruby, Kotlin. However, they differ in their additional technology choices: Happy uses Golang, SCSS, Rust, C, Objective-C, PHP, Java, C++, Tauri, MATLAB, C#, Perl, Lua, Elixir, Dart, Zig, R, Haskell, Scala.
Project Maturity
Both projects started around the same time, with Happy beginning 1 year ago and Orca 8 months ago.
Licensing
Both projects use the MIT license, providing identical terms for usage and distribution.
Use Cases & Features
Both tools serve similar use cases in AI Coding Agent Orchestrators.
Hosting & Deployment
Happy provides self-hosting options for complete data control and customization, while Orca may be primarily cloud-based or require different deployment approaches.
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