tanstack-table

To build a headless data table, you define column definitions and manage table state using a framework-agnostic API. This approach handles sorting and filtering logic without forcing a specific UI, letting you assemble the table markup yourself across React, Vue, Solid, Svelte, Qwik, Angular, or Lit.

The best way to implement client-side sorting and filtering for large datasets is by exposing configurable row models and table state. This headless API processes complex tabular data deterministically, allowing you to wire the filtered and sorted rows directly into your custom UI components.

Yes, you can use this headless table API with Svelte, Solid, Qwik, Angular, and Lit. It provides framework-agnostic core logic that exposes column definitions and row models, enabling flexible UI assembly and deterministic behavior across multiple web frameworks without built-in rendering.

You set up an admin panel datagrid by configuring column definitions and enabling row selection through the table state. The headless API processes these configurations to manage grouping and pagination, outputting deterministic row models that you map to your custom admin interface.

Yes, a framework-agnostic table API handles row grouping and pagination without rendering UI. It operates as a headless utility that manages table state and row models, ensuring deterministic data behavior while leaving the visual rendering and UI assembly entirely up to your implementation.