Shadcn Table
A Shadcn UI table component for Next.js, featuring server-side pagination, sorting, and filtering, powered by TanStack Table and Drizzle ORM.

Shadcn Table: Advanced Data Management for Next.js Applications
Shadcn Table is a sophisticated data table component tailored for Next.js developers, built upon shadcn/ui and TanStack/react-table. It empowers users to implement complex tables requiring server-side processing for pagination, sorting, and multifaceted filtering. Utilizing a modern stack including Tailwind CSS, Drizzle ORM, and Neon, this component simplifies the development of interactive and performant data displays, handling large datasets with ease and offering a rich user experience.
Features:
- Server-side Pagination, Sorting, and Filtering: Efficiently manages large datasets by processing these operations on the server.
- Customizable Columns: Allows developers to define and tailor table columns according to specific data representation needs.
- Auto-generated Filters from Column Definitions: Simplifies filter setup by automatically creating filters based on column configurations.
- Dynamic Data-Table-Toolbar: Includes search functionality, filter controls, and action buttons for enhanced data interaction.
- Advanced Filtering (Notion/Airtable-like): Provides sophisticated, multi-conditional filtering capabilities similar to popular productivity applications.
- Command Palette Filtering (Linear-like): Offers an intuitive filter menu accessible via a command palette for quick and easy data refinement.
- Action Bar on Row Selection: Displays relevant actions when one or more rows are selected, improving user workflow.
Summary:
Shadcn Table provides a comprehensive toolkit for developers to integrate powerful, server-processed data tables into Next.js projects. It features advanced sorting, filtering, and pagination, along with a dynamic toolbar and Notion-like advanced filtering options. This component, built with shadcn/ui, TanStack Table, and Drizzle ORM, streamlines the creation of interactive and efficient data interfaces, perfect for managing extensive datasets within modern web applications and enhancing user engagement.