onlook open source analysis
The Cursor for Designers • An Open-Source AI-First Design tool • Visually build, style, and edit your React App with AI
Project overview
⭐ 23664 · TypeScript · Last activity on GitHub: 2025-12-29
Why it matters for engineering teams
Onlook addresses the challenge of bridging design and development by enabling engineers and designers to visually build and edit React applications using AI assistance. This open source tool for engineering teams streamlines the conversion of design concepts into functional frontend code, reducing manual translation errors and accelerating development cycles. It is particularly suited for machine learning and AI engineering teams who integrate design workflows with frontend development. The project demonstrates a high level of maturity with over 23,000 stars and active maintenance, making it a reliable, production ready solution for many use cases. However, it may not be the best fit for teams requiring extensive custom backend integration or those preferring traditional code-first approaches, as its focus is primarily on frontend design-to-code workflows with TypeScript and React.
When to use this project
Onlook is a strong choice when teams need a visual, AI-assisted way to develop React frontends directly from design files, especially in projects using Next.js and Tailwind CSS. Teams should consider alternatives if their focus is on backend-heavy applications or if they require a self hosted option for full-stack development beyond frontend UI generation.
Team fit and typical use cases
Frontend engineers and AI specialists benefit most from Onlook by using it to translate design assets from tools like Figma into clean, maintainable React components. It fits well within product teams building user interfaces for web applications where rapid iteration between design and code is essential. This production ready solution is often found in projects leveraging modern frontend stacks such as React, Next.js, and Supabase.
Best suited for
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2025-12-29. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.