tanstack-table

To build a React datagrid with sorting, filtering, and pagination, use TanStack Table to manage data processing pipelines while retaining full control over rendering. It provides headless table logic, allowing you to implement interactive features without rewriting core state management.

Headless table logic separates data processing from UI rendering, giving you full control over your datagrid's appearance. This approach lets you implement sorting, filtering, and pagination pipelines in TypeScript without being locked into a predefined UI component structure.

Yes, you can implement server-side pagination and manual sorting in a TypeScript datagrid using server-mode flags like manualSorting and manualPagination. This allows controlled state handlers to manage data fetching externally while maintaining stable row-model composition.

Yes, TanStack Table supports optional virtualization integration to handle large datasets efficiently. This feature ensures performant rendering within your React datagrid by limiting the number of DOM nodes actively rendered at any given time.

You create type-safe column definitions for a React data table using the createColumnHelper utility. This reduces development mistakes and improves maintainability by enforcing strict TypeScript typing across your datagrid's column structure.

This headless table approach supports advanced UI behaviors including column visibility, pinning, resizing, grouping, aggregation, row expansion, and row selection. These features integrate seamlessly into your React data processing pipeline.