Learn how OpenPencil and Penpot differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ui/ux design tools is best for you.
Last 30 days
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Repository age
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both OpenPencil and Penpot 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.
Penpot significantly outpaces OpenPencil in community adoption with 60,489 stars compared to 8,661 stars on GitHub. This 7.0x difference suggests Penpot has a much larger and more active community. In terms of developer contributions, Penpot has 4,153 forks, indicating strong developer engagement.
OpenPencil is growing faster, adding 593 stars in the last 30 days (+7.4%) against adding 1,099 stars for Penpot (+1.9%). OpenPencil is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with OpenPencil last updated 14 hours ago and Penpot 3 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, Rust. However, they differ in their additional technology choices: OpenPencil uses Vue, Tauri while Penpot leverages Bash, JSX, Python, SCSS, Java, Lua, Clojure.
Penpot has been in development longer, starting 11 years ago, compared to OpenPencil which began 7 months ago. This 10.3-year head start suggests Penpot may have more mature features and established processes.
OpenPencil uses the MIT license, which is more permissive than Penpot's MPL-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in UI/UX Design. However, they also have distinct specializations: Penpot extends into Online Design.
Penpot provides self-hosting options for complete data control and customization, while OpenPencil may be primarily cloud-based or require different deployment approaches.