@linaria/core vs. goober
Side-by-side comparison · 9 metrics · 14 criteria
- Weekly Downloads
- 604.3K
- Stars
- 12.3K
- Gzip Size
- 352 B
- License
- MIT
- Last Updated
- 8mo ago
- Open Issues
- 73
- Forks
- 414
- Unpacked Size
- 24.7 kB
- Dependencies
- 1
- Weekly Downloads
- 10.2M
- Stars
- 3.3K
- Gzip Size
- 1.3 kB
- License
- MIT
- Last Updated
- 1y ago
- Open Issues
- 72
- Forks
- 128
- Unpacked Size
- 113.5 kB
- Dependencies
- 1
@linaria/core vs goober downloads · last 12 months
Criteria · @linaria/core vs goober
- Extensibility
- @linaria/coreLeverages build system plugins and Babel macros for extensions.gooberOffers straightforward API extensions and works well within standard JS environments.
- API Philosophy
- @linaria/coreFocuses on extracting CSS to static files, leveraging build-time analysis.gooberProvides a concise and familiar CSS-in-JS API, optimized for runtime efficiency.
- CSS Generation
- @linaria/core ✓Primary output is static CSS files, often extracted and optimized.gooberGenerates styles dynamically and applies them to the DOM.
- Learning Curve
- @linaria/coreSlightly steeper due to build-time transformation concepts.goober ✓Very gentle, with an intuitive API familiar to users of similar libraries.
- Runtime Overhead
- @linaria/core ✓Zero runtime execution, styles are processed at build time.gooberMinimal runtime execution, styles processed dynamically with a small footprint.
- Styling Approach
- @linaria/core ✓Generates static CSS at build time for maximum performance.gooberApplies styles dynamically at runtime with a small performance cost.
- TypeScript Support
- @linaria/core ✓Excellent, designed with strong TypeScript integration in mind.gooberGood, provides a solid developer experience for TypeScript users.
- Component Integration
- @linaria/coreSeamlessly integrates with React components, processing styles within them.gooberDesigned for easy integration with React and other frameworks with minimal boilerplate.
- Bundle Size Efficiency
- @linaria/core ✓Exceptional, often measured in hundreds of bytes due to zero runtime.gooberExtremely efficient, measured in low kilobytes, one of the smallest runtimes.
- Build Process Integration
- @linaria/coreRequires integration with build tools (Webpack, Rollup) for style extraction.goober ✓Typically integrates as a standard npm package dependency without complex build steps.
- Developer Experience Focus
- @linaria/coreOptimizing build-time and runtime performance through abstraction.gooberPrioritizing simplicity, ease of use, and minimal footprint.
- Theming and Dynamic Styles
- @linaria/coreCan be achieved via build-time configurations and static CSS outputs.goober ✓Directly supported with runtime context and API for dynamic theming.
- Target Environment Flexibility
- @linaria/coreBest suited for environments with robust build pipelines and performance focus.goober ✓Highly versatile, suitable for various JavaScript environments including Preact and vanilla JS.
- Performance Bottleneck Avoidance
- @linaria/core ✓Eliminates client-side JavaScript as a CSS styling bottleneck.gooberMinimizes runtime overhead to avoid becoming a performance bottleneck.
| Criteria | @linaria/core | goober |
|---|---|---|
| Extensibility | Leverages build system plugins and Babel macros for extensions. | Offers straightforward API extensions and works well within standard JS environments. |
| API Philosophy | Focuses on extracting CSS to static files, leveraging build-time analysis. | Provides a concise and familiar CSS-in-JS API, optimized for runtime efficiency. |
| CSS Generation | ✓ Primary output is static CSS files, often extracted and optimized. | Generates styles dynamically and applies them to the DOM. |
| Learning Curve | Slightly steeper due to build-time transformation concepts. | ✓ Very gentle, with an intuitive API familiar to users of similar libraries. |
| Runtime Overhead | ✓ Zero runtime execution, styles are processed at build time. | Minimal runtime execution, styles processed dynamically with a small footprint. |
| Styling Approach | ✓ Generates static CSS at build time for maximum performance. | Applies styles dynamically at runtime with a small performance cost. |
| TypeScript Support | ✓ Excellent, designed with strong TypeScript integration in mind. | Good, provides a solid developer experience for TypeScript users. |
| Component Integration | Seamlessly integrates with React components, processing styles within them. | Designed for easy integration with React and other frameworks with minimal boilerplate. |
| Bundle Size Efficiency | ✓ Exceptional, often measured in hundreds of bytes due to zero runtime. | Extremely efficient, measured in low kilobytes, one of the smallest runtimes. |
| Build Process Integration | Requires integration with build tools (Webpack, Rollup) for style extraction. | ✓ Typically integrates as a standard npm package dependency without complex build steps. |
| Developer Experience Focus | Optimizing build-time and runtime performance through abstraction. | Prioritizing simplicity, ease of use, and minimal footprint. |
| Theming and Dynamic Styles | Can be achieved via build-time configurations and static CSS outputs. | ✓ Directly supported with runtime context and API for dynamic theming. |
| Target Environment Flexibility | Best suited for environments with robust build pipelines and performance focus. | ✓ Highly versatile, suitable for various JavaScript environments including Preact and vanilla JS. |
| Performance Bottleneck Avoidance | ✓ Eliminates client-side JavaScript as a CSS styling bottleneck. | Minimizes runtime overhead to avoid becoming a performance bottleneck. |
@linaria/core distinguishes itself through its unique approach to CSS-in-JS, prioritizing zero runtime overhead. Its core philosophy centers on extracting styles at build time, transforming them into static CSS files. This makes it an ideal choice for developers who are highly sensitive to client-side performance and wish to minimize JavaScript execution on the user's browser. The primary audience includes performance-critical applications, React projects aiming for maximum optimization, and teams seeking to integrate CSS authoring directly into their component logic without runtime costs.
goober, on the other hand, champions a minimalist, ultra-lightweight CSS-in-JS solution designed for extreme efficiency. Its philosophy is to provide a powerful styling API with a negligible footprint, making it suitable for a wide range of projects, from small utility sites to large-scale applications. The primary audience includes developers who need a robust CSS-in-JS solution but are constrained by bundle size, or those working in environments where every kilobyte counts, such as preact or vanilla JavaScript projects, while still offering excellent React compatibility.
A key architectural difference lies in their execution models. @linaria/core operates as a build-time transformer. It analyzes your CSS within JavaScript and generates actual CSS files during the build process, meaning no CSS-in-JS runtime is shipped to the browser. goober, while also highly optimized, functions more like a traditional CSS-in-JS library at runtime, albeit with an exceptionally small footprint. It processes styles and applies them dynamically, though its efficient implementation minimizes any performance impact.
Another technical divergence is their approach to styling and theming. @linaria/core often integrates more directly with component build systems and provides mechanisms for generating static CSS, which can be leveraged for advanced optimizations like critical CSS extraction. goober offers a more conventional CSS-in-JS API, focusing on simplicity and ease of use, with built-in support for features like theming and context, allowing for dynamic style adjustments at runtime with minimal overhead.
From a developer experience perspective, @linaria/core requires a build-time integration step, which might add a slight learning curve for teams unaccustomed to build-time transformations. However, it offers excellent TypeScript support and integrates seamlessly into modern build pipelines like Webpack or Rollup. goober boasts a very gentle learning curve due to its straightforward API, which is heavily inspired by popular libraries like styled-components. Its small size and lack of complex configurations make it easy to adopt quickly.
Performance and bundle size are where these two libraries present a stark contrast, with @linaria/core generally excelling in raw client-side performance due to its zero-runtime nature. Its minimal bundle size, measured in hundreds of bytes, is unparalleled. goober, while also exceptionally small, is still a runtime library, with a bundle size in the low kilobytes. For applications where minimizing client-side JavaScript execution and achieving the smallest possible bundle is paramount, @linaria/core has a distinct advantage, though goober's size is still remarkably impressive and often sufficient.
For practical recommendations, choose @linaria/core when your primary concern is absolute client-side performance and delivering the leanest possible JavaScript bundle. It's a strong candidate for highly optimized React applications, large-scale SPAs where runtime overhead is a critical bottleneck, or projects that can benefit from static CSS generation and critical CSS extraction. If you're already invested in a robust build process, integrating @linaria/core will feel natural.
Conversely, opt for goober when you need a highly capable CSS-in-JS solution that is incredibly easy to integrate and maintain, without compromising significantly on bundle size. It's an excellent choice for new projects, smaller applications, or teams who prefer a more traditional CSS-in-JS developer experience that is familiar yet exceptionally performant. Its versatility makes it suitable even for projects using Preact or vanilla JS, highlighting its broad applicability and minimal footprint.
When considering niche use cases, @linaria/core's build-time extraction makes it particularly suited for scenarios requiring strict Content Security Policy (CSP) compliance, as it can generate static CSS files that don't require inline styles or JavaScript execution. goober, with its extreme size efficiency and runtime capabilities, might be more adaptable for highly dynamic theming scenarios or rapid prototyping where immediate visual feedback and runtime adjustments are key, without adding significant bloat.
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