Learn how Planka 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.
Stars
Forks
Last commit
Repository age
Self-hosted
Auto-fetched .

Stars
Forks
Last commit
Repository age
License
Auto-fetched .

Super Productivity appears to have several advantages over Planka, particularly in popularity, maturity and licensing. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Super Productivity leads in popularity with 18,648 stars vs 11,844 stars for Planka. The 57% higher star count indicates stronger community adoption. In terms of developer contributions, Super Productivity has 1,613 forks, indicating strong developer engagement.
Both projects show recent activity, with Planka last updated 8 days ago and Super Productivity 12 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, JSX, SCSS. However, they differ in their additional technology choices: Planka uses Python while Super Productivity leverages Typescript, Objective-C, Java, Ruby, Swift, Kotlin, MATLAB.
Super Productivity has been in development longer, starting 9 years ago, compared to Planka which began 7 years ago. This 2.7-year head start suggests Super Productivity may have more mature features and established processes.
Super Productivity is licensed under MIT, while Planka's license terms are not publicly specified.
Both tools serve similar use cases in Task Management. However, they also have distinct specializations: Planka also focuses on Project Management Suites, Agile Project Management while Super Productivity extends into Time Tracking, Project & Work Management.
Planka provides self-hosting options for complete data control and customization, while Super Productivity may be primarily cloud-based or require different deployment approaches.
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs