TanStack Table core

TanStack Table coordinates state and row processing. The renderer owns markup, styles, semantics, and interaction accessibility. Use the installed framework adapter in UI code; use constructTable for framework-neutral integrations.

Minimal setup

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import {
  constructTable,
  createColumnHelper,
  tableFeatures,
} from '@tanstack/table-core'
import { storeReactivityBindings } from '@tanstack/table-core/store-reactivity-bindings'

type Person = { id: string; name: string }
const features = tableFeatures({
  coreReactivityFeature: storeReactivityBindings(),
})
const helper = createColumnHelper<typeof features, Person>()
const columns = helper.columns([helper.accessor('name', { header: 'Name' })])
const data: Person[] = [{ id: '1', name: 'Ada' }]
const table = constructTable({
  features,
  columns,
  data,
  getRowId: (row) => row.id,
})

for (const row of table.getRowModel().rows) {
  console.log(row.getAllCells().map((cell) => cell.getValue()))
}

Essential constraints

• The core row model is automatic. Optional APIs and state exist only after their feature is registered.
• Keep features, data, and columns stable between meaningful changes. Derive changing arrays with the adapter's memo/computed mechanism; an inline .map(), .filter(), column factory, or fresh [] fallback invalidates model work and can cause render loops.
• Let createColumnHelper and helper.columns() preserve accessor value types. Derive feature types from the concrete registry when an explicit boundary is needed.
• Call row, cell, column, and header methods on their instance. Use row.getValue('name') or a callback that calls it; extracting const { getValue } = row loses its this receiver.
• Render the final table.getRowModel().rows. The table object itself is not a DOM component.

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