Head-to-Head: Stitches vs Semantic UI React Analysis

@stitches/core

v1.2.8(about 2 years ago)

This package was last published over a year ago. It may not be actively maintained.Types definitions are bundled with the npm packageNumber of direct dependencies: 0Monthly npm downloads

@stitches/core is a modern CSS-in-JS library that offers a seamless way to style your components using JavaScript. It provides a powerful API for defining styles with a focus on performance and developer experience. Stitches allows you to write CSS directly in your JavaScript code, enabling better encapsulation and reusability of styles. It also supports theming, responsive design, and server-side rendering.

Alternatives:
emotion+
styled-components+
goober+
linaria+
styletron+
jss+
treat+
astroturf+
vanilla-extract+
typestyle+

Tags: css-in-jsstylingjavascriptthemingperformance

semantic-ui-react

v2.1.5(6 months ago)

This package is actively maintained.Types definitions are bundled with the npm packageNumber of direct dependencies: 13Monthly npm downloads

Semantic UI React is a popular library that provides React components following the Semantic UI design language. It offers a wide range of customizable and responsive UI components, such as buttons, forms, modals, and menus, making it easy to build visually appealing and user-friendly interfaces. Semantic UI React integrates seamlessly with React applications, allowing developers to create modern and consistent designs with minimal effort.

Alternatives:
reactstrap+
material-ui+
ant-design+
blueprintjs/core+
chakra-ui+
evergreen-ui+
grommet+
react-bootstrap+
prime-react+
rebass+

Tags: reactui-componentsdesign-languagecustomizableresponsive

Fight!

Popularity

Semantic UI React has been around for longer and has a larger user base and community support. It is widely used and has a well-established reputation in the React ecosystem. On the other hand, @stitches/core is a relatively newer library and may not have the same level of popularity and community adoption as Semantic UI React.

Size

Semantic UI React is a comprehensive UI framework that provides a wide range of pre-built components and styles. As a result, it has a larger bundle size compared to @stitches/core, which is a lightweight CSS-in-JS library. If bundle size is a concern, @stitches/core might be a better choice.

Customization and Styling

Semantic UI React offers a large number of pre-designed components and styling options out of the box. It provides a consistent and opinionated design system that can be easily customized using themes and CSS overrides. @stitches/core, on the other hand, is a more flexible and customizable solution that allows you to write your own CSS-in-JS styles from scratch. It provides a powerful API for creating and composing styles, giving you more control over the design and theming of your application.

Integration with React

Both libraries are specifically designed for React and provide seamless integration with React components and the React ecosystem. Semantic UI React follows a more traditional approach of using CSS classes and props to style components, while @stitches/core leverages CSS-in-JS to generate styles dynamically. The choice between the two depends on your preference and familiarity with CSS-in-JS and traditional CSS styling.

Documentation and Community Support

Semantic UI React has extensive documentation, a large community, and a wide range of resources available, including tutorials, examples, and community-driven plugins. @stitches/core, being a newer library, may have a smaller community and fewer resources available. However, it has a well-documented API and is actively maintained by its developers.

Performance

In terms of performance, @stitches/core is known for its lightweight and efficient CSS-in-JS solution. It generates optimized CSS styles at runtime, resulting in smaller bundle sizes and faster rendering. Semantic UI React, being a more comprehensive UI framework, may have a slightly higher performance overhead due to its larger bundle size and more complex component hierarchy. However, the performance difference might not be significant unless you have specific performance requirements.