🆚 Dioxus vs. Quasar

Type

Frontend framework
Frontend framework

About

Dioxus is a Rust-based framework for building cross-platform user interfaces and full-stack applications that run on web, desktop, and mobile from a single codebase.

It uses a virtual DOM with a React-like component and hooks model, supports JSX-style templating, server-side rendering and hydration, hot reloading, and WebAssembly output, and includes a CLI, type-safe routing, and a native renderer based on WGPU for high-performance applications.

Quasar is an open-source framework based on Vue.js that lets developers build responsive websites, PWA, SSR, mobile, and desktop applications from a single codebase.

It offers over 70 customizable UI components, automatic tree-shaking, integrated platform detection, support for Cordova and Capacitor for mobile, Electron for desktop, built-in CLI tools with hot-reload, theming, RTL support, and multiple build modes such as SPA, SSR, PWA, and BEX.

Headquarters

San Francisco, California, United States
Bucharest, Romania

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Frontend Frameworks › Rank #40
Frontend Frameworks › Rank #20
UI Frameworks › Rank #30

Popularity

Determined by the number of sites using each technology.

The Quasar frontend framework is 23 times more popular than Dioxus.
Total websites

Market share

Frontend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Quasar is more popular than Dioxus in all countries.
United States
Germany
France
Brazil
United Kingdom
Russia
Iran
Australia
Indonesia
China

Awards

Popularity by domain category

Determined by the number of sites in each category.

Quasar is more popular than Dioxus in all market segments.
Business
Online Shopping
Entertainment
Education/Reference
Internet Services
Marketing/Merchandising
Public Information
Travel
Blogs/Wiki
Sports

Top sites

Top-ranked sites that use these technologies.

Name
Rank
View more ➝
Name
Rank
#3,591
#4,859
View more ➝

See also

🗃️ About This Data