Both @stitches/core and uikit are popular npm packages, but they cater to different audiences. @stitches/core is a CSS-in-JS library that has gained popularity among developers who prefer a more lightweight and minimalistic approach to styling. uikit, on the other hand, is a comprehensive UI framework that offers a wide range of pre-built components and styles, making it popular among developers who want a more opinionated and feature-rich solution.
@stitches/core is designed to be a lightweight CSS-in-JS library, focusing on minimal bundle size and runtime performance. It provides a small footprint and allows for fine-grained control over the generated CSS. uikit, being a comprehensive UI framework, has a larger codebase and includes a wide range of pre-built components and styles, resulting in a larger bundle size.
Both @stitches/core and uikit provide a rich set of features and functionalities. @stitches/core focuses on providing a powerful CSS-in-JS solution with features like theming, responsive styles, and CSS variables. uikit, on the other hand, offers a comprehensive UI framework with a wide range of pre-built components, responsive layouts, and utility classes. The choice between the two depends on the specific needs of the project and the level of customization required.
@stitches/core provides a developer-friendly API and has good documentation, making it easy to get started and integrate into projects. It also has a growing community and active maintainers. uikit, being a more comprehensive UI framework, offers a more opinionated development experience with a set of pre-designed components and styles. It has extensive documentation and a large community, which can be beneficial for developers looking for ready-to-use components and a more guided development experience.
Both @stitches/core and uikit are actively maintained by their respective communities. However, it's worth noting that @stitches/core is a relatively newer library compared to uikit, which has been around for a longer time and has a larger user base. This can be a factor to consider when evaluating long-term maintenance and support for the packages.