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react-window
Advanced tools
React components for efficiently rendering large, scrollable lists and tabular data
The react-window npm package is a React component library that provides efficient rendering of large lists and tabular data. It works by only rendering the items that are currently visible within the viewport, which can significantly improve the performance of applications that need to display large amounts of data.
Fixed Size List
This feature allows you to render a list where each item has a fixed size. The FixedSizeList component requires you to specify the height and width of the list container, the number of items, and the size of each item.
import { FixedSizeList } from 'react-window';
function App() {
return (
<FixedSizeList
height={150}
itemCount={1000}
itemSize={35}
width={300}
>
{({ index, style }) => <div style={style}>Row {index}</div>}
</FixedSizeList>
);
}
Variable Size List
This feature is similar to the FixedSizeList but allows for items with variable sizes. The VariableSizeList component requires an itemSize function that returns the size of an item given its index.
import { VariableSizeList } from 'react-window';
const rowHeights = new Array(1000).fill(true).map(() => 25 + Math.round(Math.random() * 50));
function App() {
return (
<VariableSizeList
height={150}
itemCount={1000}
itemSize={index => rowHeights[index]}
width={300}
>
{({ index, style }) => <div style={style}>Row {index}</div>}
</VariableSizeList>
);
}
Fixed Size Grid
The FixedSizeGrid component allows you to render a grid (or table) where each cell has a fixed size. You need to specify the dimensions of the grid, the size of each cell, and the number of rows and columns.
import { FixedSizeGrid } from 'react-window';
function App() {
return (
<FixedSizeGrid
columnCount={100}
columnWidth={100}
height={150}
rowCount={1000}
rowHeight={35}
width={300}
>
{({ columnIndex, rowIndex, style }) => <div style={style}>Cell {rowIndex},{columnIndex}</div>}
</FixedSizeGrid>
);
}
Variable Size Grid
The VariableSizeGrid component is used for rendering a grid where the size of cells can vary. It requires functions to determine the height of rows and the width of columns based on their indices.
import { VariableSizeGrid } from 'react-window';
const columnWidths = new Array(100).fill(true).map(() => 75 + Math.round(Math.random() * 50));
const rowHeights = new Array(1000).fill(true).map(() => 25 + Math.round(Math.random() * 50));
function App() {
return (
<VariableSizeGrid
columnCount={100}
columnWidth={index => columnWidths[index]}
height={150}
rowCount={1000}
rowHeight={index => rowHeights[index]}
width={300}
>
{({ columnIndex, rowIndex, style }) => <div style={style}>Cell {rowIndex},{columnIndex}</div>}
</VariableSizeGrid>
);
}
React-virtualized is another popular library for efficiently rendering large lists and tabular data in React applications. It offers a similar set of features to react-window but includes additional functionality such as cell measuring and dynamic grid layouts. However, react-window is often preferred for its simpler API and better performance in common use cases.
React-infinite is a package that helps in building infinite scrolling lists in React. It differs from react-window in that it focuses on providing an infinite scrolling experience rather than just windowing. React-infinite may be more suitable for use cases where the list length is not known upfront or can grow dynamically.
React-list is a versatile infinite scroll React component. It supports variable lengths, dynamic item sizes, horizontal layouts, and more. Compared to react-window, react-list has a more flexible API but may not be as optimized for performance in rendering large datasets.
FAQs
React components for efficiently rendering large, scrollable lists and tabular data
The npm package react-window receives a total of 1,254,639 weekly downloads. As such, react-window popularity was classified as popular.
We found that react-window demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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