@linaria/core vs. goober
Side-by-side comparison · 9 metrics · 14 criteria
- Weekly Downloads
- 316.2K
- Stars
- 12.3K
- Gzip Size
- 358 B
- License
- MIT
- Last Updated
- 4mo ago
- Open Issues
- 146
- Forks
- 412
- Unpacked Size
- 24.6 kB
- Dependencies
- 1
- Weekly Downloads
- 3.5M
- Stars
- 3.3K
- Gzip Size
- 1.3 kB
- License
- MIT
- Last Updated
- 8mo ago
- Open Issues
- 71
- Forks
- 125
- Unpacked Size
- 113.5 kB
- Dependencies
- 1
@linaria/core vs goober downloads — last 12 months
Criteria — @linaria/core vs goober
- Learning Curve
- @linaria/coreModerate, especially if detailed understanding of Babel plugins and template literals is needed.goober ✓Very low, due to its simple and focused API.
- Core Philosophy
- @linaria/core ✓Focuses on extracting CSS to static files or efficient runtime injection via build-time analysis.gooberPrioritizes an ultra-minimalist, low-dependency CSS-in-JS runtime experience.
- SSR Integration
- @linaria/core ✓Excellent for SSR as styles can be pre-rendered and extracted into static CSS.gooberSupports SSR, requiring careful handling of runtime state extraction.
- TypeScript Support
- @linaria/core ✓Offers robust type safety and autocompletion due to build-time evaluation of styles.gooberProvides good TypeScript support, though runtime nature might have subtle differences in type inference.
- API Design Approach
- @linaria/core ✓Utilizes tagged template literals and abstract syntax tree (AST) manipulation via Babel macros.gooberEmploys a more direct `styled` function or hook-based API.
- Extensibility Model
- @linaria/core ✓Extensibility is largely governed by build-time transformations and Babel plugin ecosystem.gooberExtensibility is more direct through its API and hooks, focusing on runtime composition.
- Community & Adoption
- @linaria/coreStrong adoption indicated by high GitHub stars and forks, suggesting mature community trust.gooberMassive adoption indicated by extremely high weekly downloads, showing widespread practical use.
- Dependency Footprint
- @linaria/core ✓Effectively zero runtime dependencies due to build-time processing.gooberMinimal runtime dependencies, contributing to its small footprint.
- Development Workflow
- @linaria/core ✓Promotes co-location of styles within component files, processed during the build.gooberOffers a straightforward integration with minimal setup, styles are applied client-side.
- Zero-Runtime Styling
- @linaria/core ✓Processes styles at build time, resulting in no runtime JavaScript overhead for styling.gooberIncludes a small runtime engine for applying styles on the client.
- Build Tool Integration
- @linaria/core ✓Relies heavily on build-time tooling (e.g., Babel plugins) for style extraction and processing.gooberIntegrates directly into the application code at runtime, with fewer build-time transformations required.
- Bundle Size Efficiency
- @linaria/core ✓Achieves an exceptionally small gzip bundle size of 358 B due to its zero-runtime nature.gooberOffers a very small gzip bundle size of 1.3 kB, including its runtime engine.
- Extraction vs. Runtime
- @linaria/core ✓Prioritizes extracting styles completely out of the runtime bundle.gooberProvides a highly optimized runtime engine for dynamic styling.
- Client-Side Performance
- @linaria/core ✓Delivers optimal client-side performance by eliminating style processing at runtime.gooberDelivers high performance with minimal runtime overhead for its category.
| Criteria | @linaria/core | goober |
|---|---|---|
| Learning Curve | Moderate, especially if detailed understanding of Babel plugins and template literals is needed. | ✓ Very low, due to its simple and focused API. |
| Core Philosophy | ✓ Focuses on extracting CSS to static files or efficient runtime injection via build-time analysis. | Prioritizes an ultra-minimalist, low-dependency CSS-in-JS runtime experience. |
| SSR Integration | ✓ Excellent for SSR as styles can be pre-rendered and extracted into static CSS. | Supports SSR, requiring careful handling of runtime state extraction. |
| TypeScript Support | ✓ Offers robust type safety and autocompletion due to build-time evaluation of styles. | Provides good TypeScript support, though runtime nature might have subtle differences in type inference. |
| API Design Approach | ✓ Utilizes tagged template literals and abstract syntax tree (AST) manipulation via Babel macros. | Employs a more direct `styled` function or hook-based API. |
| Extensibility Model | ✓ Extensibility is largely governed by build-time transformations and Babel plugin ecosystem. | Extensibility is more direct through its API and hooks, focusing on runtime composition. |
| Community & Adoption | Strong adoption indicated by high GitHub stars and forks, suggesting mature community trust. | Massive adoption indicated by extremely high weekly downloads, showing widespread practical use. |
| Dependency Footprint | ✓ Effectively zero runtime dependencies due to build-time processing. | Minimal runtime dependencies, contributing to its small footprint. |
| Development Workflow | ✓ Promotes co-location of styles within component files, processed during the build. | Offers a straightforward integration with minimal setup, styles are applied client-side. |
| Zero-Runtime Styling | ✓ Processes styles at build time, resulting in no runtime JavaScript overhead for styling. | Includes a small runtime engine for applying styles on the client. |
| Build Tool Integration | ✓ Relies heavily on build-time tooling (e.g., Babel plugins) for style extraction and processing. | Integrates directly into the application code at runtime, with fewer build-time transformations required. |
| Bundle Size Efficiency | ✓ Achieves an exceptionally small gzip bundle size of 358 B due to its zero-runtime nature. | Offers a very small gzip bundle size of 1.3 kB, including its runtime engine. |
| Extraction vs. Runtime | ✓ Prioritizes extracting styles completely out of the runtime bundle. | Provides a highly optimized runtime engine for dynamic styling. |
| Client-Side Performance | ✓ Delivers optimal client-side performance by eliminating style processing at runtime. | Delivers high performance with minimal runtime overhead for its category. |
@linaria/core champions a zero-runtime philosophy, allowing developers to write CSS directly within their JavaScript or TypeScript files using familiar syntax. Its core strength lies in extracting styles at build time, ensuring that runtime performance is unaffected by style processing. This approach is particularly appealing to React developers who prefer co-locating styles with their components and aiming for minimal client-side overhead. The primary audience is those prioritizing a clean, efficient bundle and a smooth development experience without runtime performance penalties.
goober offers an ultra-minimalist CSS-in-JS solution with a laser focus on extremely small bundle sizes, targeting applications where every kilobyte counts. Its design emphasizes simplicity and a low learning curve, making it accessible for developers new to CSS-in-JS or those working in resource-constrained environments. The library's core philosophy is to provide essential styling capabilities with zero unnecessary features, making it an excellent choice for smaller projects, libraries, or performance-critical applications where script size is paramount.
The fundamental architectural difference lies in their runtime behavior. @linaria/core processes styles during the build phase, effectively eliminating runtime overhead. This means the styles are typically compiled into static CSS files or injected efficiently on the server, with no JavaScript needed on the client to interpret or apply them. goober, while also highly optimized, still performs its styling operations on the client at runtime, albeit with a highly compressed and efficient engine.
Another key technical distinction is their approach to styling integration. @linaria/core leverages tagged template literals and Babel macros to parse and transform styles, offering a powerful way to integrate styling logic directly into component code. goober uses a more direct pattern, often involving a `styled` function or hook, which is familiar to users of other CSS-in-JS libraries but operates with its own streamlined implementation. This difference impacts how styles are defined and how easily they can be dynamically manipulated.
In terms of developer experience, @linaria/core provides a robust, type-safe environment, especially when used with TypeScript, due to its build-time processing. Debugging can be straightforward as styles often map closely to original source code, and the absence of runtime interpretation reduces potential client-side issues. goober offers a very quick onboarding experience due to its simplicity and small API surface. While powerful, its runtime nature means debugging client-side style application might occasionally require understanding its minimal engine.
Performance and bundle size are where these libraries diverge significantly, even though both aim for efficiency. @linaria/core boasts an exceptionally small bundle size (358 B gzip) because its core logic is not present in the runtime bundle; it's handled by the build process. goober, while also remarkably small (1.3 kB gzip), includes its runtime engine, which is impressive for its functionality but inherently larger than a zero-runtime solution. If the absolute smallest client-side JavaScript footprint is critical, @linaria/core has a clear advantage here.
Practically, choose @linaria/core when building larger applications, especially within the React ecosystem, where you want the benefits of co-located styles, static extraction for optimal client performance, and strong TypeScript integration without compromising on runtime speed. It's ideal for projects that can accommodate a build-time dependency and prioritize a development workflow that feels close to traditional CSS but with JS power. Use goober for situations demanding the absolute smallest possible script size, such as in performance-critical components within a larger app, single-page applications where initial load is paramount, or when building libraries where dependencies must be minimized. Its small footprint makes it suitable for projects where minimal JavaScript execution on the client is a prime objective.
Regarding ecosystem and maintenance, @linaria/core, with significantly more GitHub stars and forks, suggests a larger community and potentially more eyes on its development and stability, despite its higher number of open issues. Its integration with build tools like Webpack and Babel is mature. goober, while having fewer stars, demonstrates very strong community adoption through its millions of weekly downloads, indicating widespread use and a robust, if perhaps less visible, community. Its update frequency is also very recent, suggesting active maintenance, though the larger download numbers compared to its star count could imply a different adoption pattern.
Considering niche use cases, @linaria/core excels in environments that benefit from extracting all possible processing to the build stage, including server-side rendering setups where pre-rendered CSS is essential. Its ability to generate static CSS files makes it highly adaptable. goober's extreme compact size makes it an excellent candidate for progressive web applications (PWAs) or embedded web experiences where bandwidth and initial load times are critical. Its minimal dependencies also make it a good fit for frameworks and plugins that have strict size constraints.
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