Learn how Orca and Paseo 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
7 hours agoRepository age
7 monthsVersion
v1.4.237License
MITRepository
stablyai/orca
Last 30 days
Last commit
8 hours agoRepository age
1 yearVersion
v0.12.0License
Apache-2.0Self-hosted
YesRepository
getpaseo/paseo
Orca appears to have several advantages over Paseo, particularly in popularity, growth and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Orca significantly outpaces Paseo in community adoption with 103,668 stars compared to 21,807 stars on GitHub. This 4.8x difference suggests Orca has a much larger and more active community. In terms of developer contributions, Orca has 6,546 forks, indicating strong developer engagement.
Orca is growing faster, adding 27,188 stars in the last 30 days (+36%) against adding 3,632 stars for Paseo (+20%). Orca is both larger and pulling further ahead.
Both projects show recent activity, with Orca last updated 7 hours ago and Paseo 8 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Swift, Ruby, Kotlin. However, they differ in their additional technology choices: Orca uses Python while Paseo leverages Tanstack Start.
Both projects started around the same time, with Orca beginning 7 months ago and Paseo 1 year ago.
Orca uses the MIT license, which is more permissive than Paseo's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in AI Coding Agent Orchestrators.
Paseo provides self-hosting options for complete data control and customization, while Orca may be primarily cloud-based or require different deployment approaches.