@react-aria/grid, react-data-grid, react-virtualized, and react-window are all npm packages used to display tabular or grid-based data in React applications, but they serve different purposes and abstraction levels. @react-aria/grid provides low-level, accessible hooks for building custom grid components following ARIA standards. react-data-grid is a fully-featured, editable data grid component with built-in support for sorting, filtering, and virtualization. react-virtualized is a general-purpose virtualization library that includes grid and table components but is no longer actively maintained. react-window is a lightweight, high-performance virtualization library focused exclusively on efficiently rendering large lists and grids by only displaying visible items.
When you need to display large datasets in a grid or table in React, choosing the right tool can make or break performance, accessibility, and developer experience. The four packages — @react-aria/grid, react-data-grid, react-virtualized, and react-window — each solve different aspects of this problem. Let’s unpack what they actually do, how they differ, and when to use which.
@react-aria/grid is not a full grid component. It’s a set of low-level hooks from the React Aria project that help you build accessible grid-like UIs (like tables, spreadsheets, or tree grids) that follow WAI-ARIA standards. You bring your own rendering logic.
// @react-aria/grid: Build your own accessible grid
import { useGrid, useTableRow, useTableCell } from '@react-aria/grid';
function MyTable({ rows, columns }) {
const { gridProps } = useGrid({
'aria-label': 'Data table',
collection: new ListCollection(rows),
columns
});
return (
<table {...gridProps}>
{/* You render rows and cells manually using other hooks */}
</table>
);
}
react-data-grid is a complete, feature-rich data grid component designed for editable, Excel-like experiences. It includes built-in support for sorting, filtering, column resizing, row selection, and editing.
// react-data-grid: Full-featured grid out of the box
import DataGrid from 'react-data-grid';
function App() {
return (
<DataGrid
columns={columns}
rows={rows}
onRowsChange={setRows}
/>
);
}
react-virtualized is a general-purpose virtualization library that includes components like Grid, List, and Table to render only the visible portion of large datasets. It’s been widely used but is now in maintenance mode.
// react-virtualized: Virtualized table
import { Table, Column } from 'react-virtualized';
function App() {
return (
<Table
width={800}
height={400}
headerHeight={20}
rowHeight={30}
rowCount={rows.length}
rowGetter={({ index }) => rows[index]}
>
<Column label="Name" dataKey="name" width={200} />
<Column label="Age" dataKey="age" width={100} />
</Table>
);
}
react-window is a lighter, faster successor to react-virtualized, focused solely on efficient list and grid virtualization. It doesn’t include table semantics or styling — just pure performance for rendering large lists/grids.
// react-window: Efficient virtualized grid
import { FixedSizeGrid as Grid } from 'react-window';
const Cell = ({ columnIndex, rowIndex, style }) => (
<div style={style}>
{rows[rowIndex][columns[columnIndex]]}
</div>
);
function App() {
return (
<Grid
columnCount={columns.length}
columnWidth={150}
height={400}
rowCount={rows.length}
rowHeight={35}
width={800}
>
{Cell}
</Grid>
);
}
The key distinction lies in abstraction level:
@react-aria/grid and react-window give you fine control but require more work. You handle layout, styling, and behavior yourself.react-data-grid provides a polished, ready-to-use grid with batteries included.react-virtualized sits in between but is no longer actively developed.⚠️ Important: According to its npm page,
react-virtualizedis no longer actively maintained. The author recommends usingreact-windowfor new projects.
@react-aria/grid shines here. It implements full keyboard navigation, screen reader support, and ARIA roles per the ARIA Grid pattern. If accessibility is non-negotiable, this is the foundation to build on.
react-data-grid also includes solid accessibility support out of the box — it uses ARIA roles, supports keyboard navigation, and works with screen readers.
react-window and react-virtualized are not accessible by default. They render plain divs. To make them accessible, you’d need to layer ARIA attributes and keyboard handlers yourself — which is error-prone and time-consuming.
All four can handle large datasets, but differently:
react-window uses the most efficient virtualization algorithm. It only renders visible items and recycles DOM nodes aggressively. Ideal for 10k+ rows.react-virtualized does similar but with more overhead due to legacy design.react-data-grid includes built-in virtualization (since v7), so it scales well even with thousands of rows.@react-aria/grid has no built-in virtualization. You must integrate it with a virtualizer like react-window if you need performance at scale.Here’s how you might combine @react-aria/grid with react-window for an accessible, high-performance grid:
// Combining @react-aria/grid + react-window (advanced)
import { FixedSizeGrid } from 'react-window';
import { useGrid, useTableCell } from '@react-aria/grid';
function AccessibleVirtualGrid({ rows, columns }) {
const { gridProps } = useGrid({
'aria-label': 'Virtualized data grid',
// ... collection setup
});
return (
<div {...gridProps} role="grid">
<FixedSizeGrid
// ... dimensions
children={({ columnIndex, rowIndex, style }) => (
<div style={style} role="gridcell">
{rows[rowIndex][columns[columnIndex]]}
</div>
)}
/>
</div>
);
}
This is powerful but complex — only consider if you need both top-tier accessibility and performance.
| Feature | @react-aria/grid | react-data-grid | react-virtualized | react-window |
|---|---|---|---|---|
| Built-in rendering | ❌ | ✅ | ✅ | ✅ |
| Virtualization | ❌ | ✅ (v7+) | ✅ | ✅ |
| Keyboard navigation | ✅ (ARIA-compliant) | ✅ | ❌ | ❌ |
| Screen reader support | ✅ | ✅ | ❌ | ❌ |
| Column resizing | ❌ | ✅ | ❌ | ❌ |
| Inline editing | ❌ | ✅ | ❌ | ❌ |
| Sorting/filtering | ❌ | ✅ | ❌ | ❌ |
| Actively maintained | ✅ | ✅ | ❌ (maintenance only) | ✅ |
@react-aria/grid if:react-data-grid if:react-virtualized for new projects.react-window is faster, smaller, and better supported.react-window if:These tools aren’t competitors — they solve different layers of the same problem:
react-data-grid@react-aria/gridreact-windowreact-virtualized, but migrate if possible.Choose based on your team’s capacity, user needs, and performance requirements — not just features on paper.
Choose @react-aria/grid when you need to build a highly customized, accessible grid component from scratch and require strict compliance with ARIA standards. It's ideal for design systems or applications where accessibility is non-negotiable, but be prepared to implement rendering, styling, and virtualization yourself. This package is best paired with a virtualization library like react-window for large datasets.
Choose react-data-grid when you need a production-ready, feature-rich data grid with built-in editing, sorting, column resizing, and virtualization. It's perfect for applications requiring Excel-like functionality without the overhead of building everything from scratch. It includes solid accessibility support and scales well for datasets up to tens of thousands of rows.
Avoid react-virtualized for new projects as it is no longer actively maintained according to its official npm page. While it provides virtualized grid and table components, its successor react-window offers better performance, smaller bundle size, and active support. Only consider react-virtualized if you're maintaining a legacy codebase that already depends on it.
Choose react-window when your primary concern is rendering performance for very large datasets (10k+ rows) and you're comfortable handling accessibility, styling, and interaction logic yourself. It's the most efficient virtualization solution among these options but provides no built-in table semantics or features like sorting or editing—just pure, fast rendering of visible items.
This package is part of react-spectrum. See the repo for more details.