Learn how Kan and Super Productivity differ in their key features, development activity, technology stack and community adoption, so you can decide which of these task management tools is best for you.
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Super Productivity appears to have several advantages over Kan, particularly in popularity, growth, maturity and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Super Productivity significantly outpaces Kan in community adoption with 22,592 stars compared to 5,738 stars on GitHub. This 3.9x difference suggests Super Productivity has a much larger and more active community. In terms of developer contributions, Super Productivity has 2,126 forks, indicating strong developer engagement.
Super Productivity is growing faster, adding 724 stars in the last 30 days (+3.3%) against adding 150 stars for Kan (+2.7%). Super Productivity is both larger and pulling further ahead.
Both projects show recent activity, with Kan last updated 5 days ago and Super Productivity 18 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Kan uses Next.js while Super Productivity leverages SCSS, Objective-C, Java, Swift, Ruby, Kotlin, MATLAB.
Super Productivity has been in development longer, starting 10 years ago, compared to Kan which began 3 years ago. This 6.9-year head start suggests Super Productivity may have more mature features and established processes.
Super Productivity uses the MIT license, which is more permissive than Kan's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Task Management. However, they also have distinct specializations: Kan also focuses on Project Management Suites while Super Productivity extends into Time Tracking.
Kan provides self-hosting options for complete data control and customization, while Super Productivity may be primarily cloud-based or require different deployment approaches.
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