Svelte Virtual
Virtual List and Grid components for Svelte
Overview:
The svelte-virtual package provides components for efficiently rendering large lists in Svelte applications. Rather than rendering the entire dataset, svelte-virtual selectively renders only the items that are currently visible to the user, optimizing performance and resource usage.
Features:
- Efficient Rendering: Renders only the visible items in large lists, improving performance.
- Vertical, Horizontal, and Grid Layouts: Supports different list orientations for flexibility in design.
- Customizable Properties: Allows customization of item count, size, layout, scroll behavior, and more.
With npm:
npm install svelte-virtual
With yarn:
yarn add svelte-virtual
With pnpm:
pnpm add svelte-virtual
Summary:
The svelte-virtual package offers a convenient solution for efficiently handling large lists in Svelte applications. By rendering only the visible data, it enhances performance and user experience. With support for different layouts and customizable properties, developers can easily integrate svelte-virtual into their projects to optimize the rendering of extensive datasets.
- Svelte
Svelte is a modern front-end framework that compiles your code at build time, resulting in smaller and faster applications. It uses a reactive approach to update the DOM, allowing for high performance and a smoother user experience.
- Vite
Vite is a build tool that aims to provide a faster and leaner development experience for modern web projects
- Eslint
ESLint is a linter for JavaScript that analyzes code to detect and report on potential problems and errors, as well as enforce consistent code style and best practices, helping developers to write cleaner, more maintainable code.
- Typescript
TypeScript is a superset of JavaScript, providing optional static typing, classes, interfaces, and other features that help developers write more maintainable and scalable code. TypeScript's static typing system can catch errors at compile-time, making it easier to build and maintain large applications.