A zero-config, fast and small (~3kB) virtual list and grid component for React, Vue, Solid, and Svelte.
Virtua is a virtualization library that renders only the visible items in large lists or grids, dramatically improving performance and scroll smoothness. It solves the problem of rendering thousands of DOM elements by dynamically measuring and recycling items as the user scrolls. The library is designed to work seamlessly across multiple frontend frameworks with minimal configuration.
Frontend developers building data-intensive applications in React, Vue, Solid, or Svelte that require smooth scrolling through large datasets, such as dashboards, feeds, or data tables.
Developers choose Virtua for its zero-config approach, tiny bundle size, and broad framework support, offering a drop-in replacement for native scrolling with built-in optimizations for dynamic sizing, reverse scrolling, and mobile compatibility.
A zero-config, fast and small (~3kB) virtual list (and grid) component for React, Vue, Solid and Svelte.
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Automatically handles dynamic sizing, scroll adjustments, and iOS support without manual setup, delivering smooth scrolling out-of-the-box as highlighted in the README's motivation.
Provides dedicated, behavior-consistent components for React, Vue, Solid, and Svelte, making it a versatile choice for multi-framework teams or projects.
Each component is around 3kB gzipped and tree-shakeable, minimizing impact on application load times and bundle size, as emphasized in the feature list.
Supports vertical, horizontal, reverse, infinite, and window-based scrolling with smooth animations, catering to diverse UI patterns like chat feeds or data grids.
The grid component is labeled experimental, indicating potential instability or breaking changes, which makes it risky for production use compared to stable alternatives like react-window.
Reverse scrolling in iOS Safari requires users to release the scroll, as admitted in the README's comparison table, degrading the user experience in mobile applications.
For complex cases, developers must implement memoization and careful key management to avoid performance bottlenecks, adding development complexity beyond the zero-config promise.