Onlook vs Quash
A side-by-side comparison of two ai coding tools — pricing, integrations, and the trade-offs that matter — so you can pick the right fit fast.
| Feature | Onlook | Quash |
|---|---|---|
| Category | AI Coding | AI Coding |
| Pricing | Freemium · from Free | Paid · from Custom pricing |
| Best for | Developers, Designers | Developers, Product Managers |
| Use cases | Visually editing React app UI in real time, Bridging design and development workflows, Making live code changes through a visual interface | Automating mobile app testing across devices, Detecting and reporting bugs with reproduction steps, Reducing manual QA effort for mobile releases |
| Integrations | React, GitHub | Jira, Slack, GitHub |
| Rating | — | — |
| Website | Visit Onlook | Visit Quash |
Onlook
Open-source AI visual editor for React apps with live code editing.
Pros
- +Open-source and free to self-host or contribute to
- +Live visual editing syncs directly with React code
- +Bridges the gap between design and development tools
Cons
- –Currently focused specifically on React applications
- –Newer open-source project with an evolving feature set
Quash
AI QA tool letting teams describe mobile test flows in plain English on real devices.
Pros
- +Automates bug detection across iOS and Android devices
- +Provides detailed reproduction steps for found bugs
- +Reduces manual QA effort for mobile release cycles
Cons
- –Mobile-specific focus limits use for web application testing
- –Device coverage depends on the testing infrastructure available
Onlook vs Quash FAQ
- Is Onlook better than Quash?
- Neither is universally better — both are ai coding tools. Onlook (Freemium, from Free) is a strong fit for Visually editing React app UI in real time, while Quash (Paid, from Custom pricing) suits Automating mobile app testing across devices. Pick by your primary use-case and budget.
- What is the main difference between Onlook and Quash?
- Onlook focuses on "Open-source AI visual editor for React apps with live code editing." whereas Quash focuses on "AI QA tool letting teams describe mobile test flows in plain English on real devices.". Their pricing starts at Free and Custom pricing respectively.
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