name: data-table-filters
description: >
Install and extend data-table-filters — a React data table system with faceted filters
(checkbox, input, slider, timerange), sorting, infinite scroll, virtualization, and BYOS
state management. Delivered as 11 shadcn registry blocks installable via
npx shadcn@latest add. Use when: (1) installing data-table-filters from the shadcn
registry, (2) adding extension blocks (command palette, AI filters, cell renderers, sheet panel,
store adapters, schema system, Drizzle helpers, query layer), (3) configuring store
adapters (nuqs/zustand/memory), (4) generating table schemas from a data model,
(5) wiring up server-side filtering with Drizzle ORM, (6) connecting the React Query
fetch layer, (7) auto-inferring schemas from raw JSON data with DataTableAuto / inferSchemaFromJSON,
(8) adding AI-powered natural language filtering, (9) exposing tables as MCP endpoints for AI agents,
(10) troubleshooting integration issues.
Triggers on mentions of "data-table-filters", "data-table-filters.com", filterable data
tables with shadcn, DataTableAuto, auto-infer, AI filters, MCP server, or any of the registry block names.
Data Table Filters
A shadcn registry for building filterable, sortable data tables with infinite scroll and virtualization. Start with the core block, then extend with optional blocks for command palette, cell renderers, sheet panels, store adapters, schema generation, Drizzle ORM helpers, and React Query integration.
Registry Blocks
Install any block via npx shadcn@latest add <url>. The CLI handles dependencies, path rewriting, and CSS variable injection.
| Block | Install URL | What it adds |
|---|---|---|
| data-table | https://data-table.openstatus.dev/r/data-table.json |
Core: table engine, store, 4 filter types, memory adapter (~52 files) |
| data-table-filter-command | .../r/data-table-filter-command.json |
Command palette with history + keyboard shortcuts |
| data-table-cell | .../r/data-table-cell.json |
12 cell renderers (text, code, number, bar, heatmap, badge, boolean, star, status-code, level-indicator, timestamp, custom) |
| data-table-sheet | .../r/data-table-sheet.json |
Row detail side panel (auto-installs cells) |
| data-table-nuqs | .../r/data-table-nuqs.json |
nuqs URL state adapter |
| data-table-zustand | .../r/data-table-zustand.json |
zustand state adapter |
| data-table-schema | .../r/data-table-schema.json |
Declarative schema system with col.* factories |
| data-table-drizzle | .../r/data-table-drizzle.json |
Drizzle ORM server-side helpers (auto-installs schema) |
| data-table-query | .../r/data-table-query.json |
React Query infinite query integration |
| data-table-filter-command-ai | .../r/data-table-filter-command-ai.json |
AI-powered natural language → filter inference (provider-agnostic) |
| data-table-mcp | .../r/data-table-mcp.json |
MCP server endpoint for AI agents (stateless, serverless-compatible) |
All URLs use base https://data-table.openstatus.dev.
Quick Start
- Run
scripts/detect-stack.shto detect the user's project setup - Install core:
npx shadcn@latest add https://data-table.openstatus.dev/r/data-table.json - Scaffold a minimal working table (see below)
- Extend with additional blocks as needed
Next.js? Use the data-table-filters repo as a reference — it's a full Next.js app with all blocks wired up.
Minimal Working Table (Memory Adapter)
Note:
DataTableInfiniteinternally rendersDataTableProvider, which already wraps children withControlsProviderandDataTableStoreSync. You do NOT need to add these separately. The only wrapper you need isDataTableStoreProvider(for the BYOS adapter).
"use client";
import { DataTableInfinite } from "@/components/data-table/data-table-infinite";
import type { DataTableFilterField } from "@/components/data-table/types";
import { useMemoryAdapter } from "@/lib/store/adapters/memory";
import { DataTableStoreProvider } from "@/lib/store/provider/DataTableStoreProvider";
import type { ColumnDef } from "@tanstack/react-table";
const columns: ColumnDef<YourData>[] = [
/* user's columns */
];
const filterFields: DataTableFilterField<YourData>[] = [
/* user's filters */
];
export function MyTable({ data }: { data: YourData[] }) {
const adapter = useMemoryAdapter(/* schema definition */);
return (
<DataTableStoreProvider adapter={adapter}>
<DataTableInfinite
columns={columns}
data={data}
filterFields={filterFields}
/>
</DataTableStoreProvider>
);
}
Wiring Extension Blocks
After installing a block via npx shadcn@latest add, wire it into the table.
Command Palette → commandSlot
<DataTableInfinite
commandSlot={<DataTableFilterCommand schema={schema} tableId="my-table" />}
/>
Sheet Detail Panel → sheetSlot
<DataTableInfinite
sheetSlot={
<DataTableSheetDetails title="Details">{content}</DataTableSheetDetails>
}
/>
Floating Bar (Bulk Actions) → floatingBarSlot
Add col.select() to the schema to enable multi-row selection with checkboxes. Wrap actions in DataTableFloatingBar — it reads selection state from context (same pattern as DataTableSheetDetails for sheetSlot).
// In table-schema.tsx
export const tableSchema = createTableSchema({
select: col.select().size(37),
// ... other columns
});
// In client.tsx
import { DataTableFloatingBar } from "@/components/data-table/data-table-floating-bar";
<DataTableInfinite
floatingBarSlot={
<DataTableFloatingBar>
{({ rows }) => (
<Button variant="outline" size="sm" onClick={() => console.log(rows)}>
Export ({rows.length})
</Button>
)}
</DataTableFloatingBar>
}
/>;
Cell Renderers → column definitions
import { DataTableCellBadge } from "@/components/data-table/data-table-cell";
// Use in columnDef.cell
Custom Filter Types → FILTER_COMPONENTS
All 4 filter types ship with core. To add custom types:
import { FILTER_COMPONENTS } from "@/components/data-table/data-table-filter-controls";
FILTER_COMPONENTS.myCustom = MyCustomFilterComponent;
AI Command Palette → commandSlot
<DataTableInfinite
commandSlot={
<DataTableFilterAICommand
schema={filterSchema.definition}
tableSchema={tableSchema.definition}
api="/api/ai-filters"
tableId="my-table"
/>
}
/>
Requires an API route that streams AI results. See references/ai-filters.md.
All Slot Props
DataTableInfinite accepts: commandSlot, sheetSlot, toolbarActions, chartSlot, footerSlot, floatingBarSlot.
See references/component-catalog.md for full wiring details.
Store Adapter Configuration
- memory (default) — Ephemeral, zero config. For prototyping, embedded components, builders.
- nuqs — URL state. Shareable links, bookmarkable filters. Requires framework setup.
- zustand — Client state. For existing zustand apps, complex app state.
Install adapter block, swap in provider. See references/store-adapters.md.
Schema Generation
Install: npx shadcn@latest add .../r/data-table-schema.json
Map data model → createTableSchema + col.*:
string→col.string().filterable("input")number→col.number().filterable("slider", { min, max })boolean→col.boolean().filterable("checkbox")Date→col.timestamp().filterable("timerange")enum→col.enum(values).filterable("checkbox")select→col.select()(checkbox row selection, not filterable)
Presets: col.presets.logLevel(), .httpStatus(), .duration(), .timestamp(), .traceId(), .pathname(), .httpMethod().
Auto-Infer (Zero-Config from JSON)
For raw JSON data with no predefined schema, use DataTableAuto or the lower-level inferSchemaFromJSON + createTableSchema.fromJSON pipeline. This auto-generates columns, filters, sheet fields, and column visibility from the data itself.
DataTableAuto Component
Drop-in component — pass JSON data, get a fully functional table:
import { DataTableAuto } from "@/components/data-table/data-table-auto";
import data from "./data.json";
export default function Page() {
return <DataTableAuto data={data} />;
}
Includes command palette and sheet detail panel out of the box. See the /auto route in this repo for a working example.
Lower-Level API
import { inferSchemaFromJSON } from "@/lib/table-schema/infer";
import { createTableSchema } from "@/lib/table-schema";
const schemaJson = inferSchemaFromJSON(data);
const { definition } = createTableSchema.fromJSON(schemaJson);
See references/auto-infer.md for inference heuristics, smart enhancements, and customization.
Server-Side Integration
Install: npx shadcn@latest add .../r/data-table-drizzle.json
Scaffold route handler with createDrizzleHandler({ db, table, columnMapping, cursorColumn, schema }).
For non-Drizzle ORMs: implement response shape { data, facets, totalRowCount, filterRowCount, nextCursor, prevCursor }.
See references/drizzle-integration.md.
Fetch Layer
Install: npx shadcn@latest add .../r/data-table-query.json
Wire createDataTableQueryOptions({ queryKeyPrefix, apiEndpoint, searchParamsSerializer }).
See references/fetch-layer.md.
Troubleshooting
- Missing CSS vars: Core injects
--color-success/warning/error/info. Check cssVars applied to CSS. - Import path mismatches: shadcn CLI rewrites
@/paths percomponents.jsonaliases. - nuqs: silent failure or crash: Two required setup steps —
<NuqsAdapter>in root layout AND<Suspense>around the table component. See references/store-adapters.md. - nuqs: filters not applied from URL on load: Pass server-parsed search params as
initialStateto the nuqs adapter. See the SSR Hydration section in references/store-adapters.md. - nuqs: phantom filters with empty string: Use
field.string()(null default), notfield.string().default(""). - Sheet dropdown missing:
SheetField.typemust match the filter type (not"readonly") to get the filter dropdown. UsegenerateSheetFields()to auto-derive from filter config. - Filter not rendering: Verify filter type string matches
FILTER_COMPONENTSkey. - Tailwind v4: Registry targets v4. Class syntax differs from v3.