Happy vs Superset
Learn how Happy 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.
Learn how Happy 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.
Happy
Last 30 days
Last commit
13 hours agoRepository age
1 yearVersion
1.2.5License
MITSelf-hosted
YesRepository
slopus/happy
Superset
Last 30 days
Last commit
16 hours agoRepository age
1 yearVersion
v1.40.0License
Elastic-2.0Repository
superset-sh/superset
Detailed Comparison
Happy appears to have several advantages over Superset, particularly in popularity, licensing and features. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.
Happy appears to have several advantages over Superset, particularly in popularity, licensing and features. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.
Community & Popularity
Happy leads in popularity with 24,302 stars vs 15,530 stars for Superset. The 56% higher star count indicates stronger community adoption. In terms of developer contributions, Happy has 2,083 forks, indicating strong developer engagement.
Growth Momentum
Superset is growing faster, adding 894 stars in the last 30 days (+6.1%) against adding 83 stars for Happy (+0.3%). Superset is the smaller project of the two, so it is closing the gap rather than extending a lead.
Development Activity
Both projects show recent activity, with Happy last updated 13 hours ago and Superset 16 hours ago.
Project Maturity
Both projects started around the same time, with Happy beginning 1 year ago and Superset 1 year ago.
Licensing
Happy uses the MIT license, which is more permissive than Superset's Elastic-2.0 license, potentially offering greater flexibility for commercial use and integration.
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 Superset may be primarily cloud-based or require different deployment approaches.
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