The Best Svelte Data Grids in 2026 - An Honest Comparison - SvGrid blog illustration

The Best Svelte Data Grids in 2026 - An Honest Comparison

A working engineer's take on which Svelte data grid to pick in 2026 - native grids, headless engines, and framework-agnostic options - with real code and honest tradeoffs.

There are more Svelte data grid options today than there were two years ago, and a few of them are actually good. The hard part is not finding a table library - it is knowing which one matches your exact constraints: Do you need server-side data? Inline editing? A headless core to build a custom UI? Or just a drop-in component that looks decent out of the box?

I am going to skip the feature checklist format and instead explain what each option is actually built for, when you should reach for it, and where it breaks down. There is one of these I work on, so take my enthusiasm for it with the appropriate amount of salt.

Group aggregators in SvGrid. Group aggregation in SvGrid, one of the features that requires real thought to implement headlessly.

If you want something that feels like part of your Svelte 5 app: SvGrid

SvGrid is a native Svelte 5 data grid, built on runes from the start, not retrofitted. The core is headless - you can call createGrid and own all the rendering - but there is also a <SvGrid> component that handles everything out of the box.

The things it ships with that actually matter for production use: Excel-style column filters, row virtualization that handles 100k+ rows, inline editing with undo/redo, row grouping with aggregators, tree data, server-side paging and sorting, and a spreadsheet layout mode. Enterprise adds export (Excel/CSV/PDF), pivot, and AI-driven column configuration.

Here is what a real setup looks like, not a toy example:

<script lang="ts">
  import SvGrid from '@svgrid/grid'
  import {
    tableFeatures, rowSortingFeature, columnFilteringFeature,
    rowSelectionFeature, rowPaginationFeature, rowExpandingFeature,
    columnGroupingFeature, createServerDataSource,
    type ColumnDef, type SvGridApi, type TableFeatures,
  } from '@svgrid/grid'

  type Features = TableFeatures<{
    rowSortingFeature: typeof rowSortingFeature
    columnFilteringFeature: typeof columnFilteringFeature
    rowSelectionFeature: typeof rowSelectionFeature
    rowPaginationFeature: typeof rowPaginationFeature
    columnGroupingFeature: typeof columnGroupingFeature
  }>

  const features = tableFeatures({
    rowSortingFeature,
    columnFilteringFeature,
    rowSelectionFeature,
    rowPaginationFeature,
    columnGroupingFeature,
  })

  const columns: ColumnDef<Features, Deal>[] = [
    { id: 'company', field: 'company', header: 'Company', width: 200, pinned: 'left' },
    { id: 'owner', field: 'owner', header: 'Owner', width: 140 },
    { id: 'stage', field: 'stage', header: 'Stage', width: 120 },
    { id: 'value', field: 'value', header: 'Value', type: 'number', width: 110, editable: true },
    { id: 'close', field: 'closeDate', header: 'Close Date', type: 'date', width: 130 },
    { id: 'actions', header: '', width: 60, cell: actionsCell, pinned: 'right' },
  ]

  const ds = createServerDataSource({
    fetch: async ({ page, pageSize, sort, filters }) => {
      const params = new URLSearchParams({
        page: String(page),
        size: String(pageSize),
        sort: sort.map(s => `${s.id}:${s.desc ? 'desc' : 'asc'}`).join(','),
      })
      for (const f of filters) {
        params.set(`filter_${f.id}`, JSON.stringify(f.value))
      }
      const res = await fetch(`/api/deals?${params}`)
      const json = await res.json()
      return { rows: json.data, total: json.total }
    },
  })

  let api: SvGridApi | undefined = $state()
</script>

{#snippet actionsCell({ row })}
  <button onclick={() => openDetail(row)}>Open</button>
{/snippet}

<SvGrid
  data={ds}
  {columns}
  {features}
  sortable
  filterable
  groupable
  pageable
  showFilterRow
  enableCellSelection
  rowHeight={34}
  virtualization={true}
  onApiReady={(a) => { api = a }}
/>

The imperative API is where SvGrid earns its keep on real apps. After onApiReady fires you can do things like:

// Save and restore the current view state (sort, filters, groups, column widths)
const savedState = api.getState()
localStorage.setItem('deals-view', JSON.stringify(savedState))

// Later, restore it:
api.setState(JSON.parse(localStorage.getItem('deals-view') ?? '{}'))

// Programmatic filter operations
api.setFilter('stage', { operator: 'equals', value: 'Qualified' })
api.setFilter('value', { operator: 'between', value: '10000', valueTo: '100000' })
api.clearAllFilters()

// Bulk data operations
api.applyTransaction({
  add: [newDeal],
  update: [{ ...existingDeal, stage: 'Closed Won' }],
  remove: [staleDeal],
})

Pick SvGrid when: you are on Svelte 5 and want something that integrates without friction - native stores, snippet-based cell rendering, SvelteKit server data patterns. The headless core is there if you need a custom layout, but the component gets you to production faster.

Where it is not the right call: if your team is on React and Svelte, you will maintain two mental models. Also, if you need AG Grid's most specialized financial features (advanced charting, integrated pivoting in the Community tier) today, those are mature and deep in a way that takes years to build.

If you want to control every pixel: TanStack Table

TanStack Table is a headless data pipeline. It does sorting, filtering, grouping, pagination, and selection as pure logic - no markup, no styles. You write the table HTML yourself. The Svelte adapter is well-maintained and gets updated alongside the React version.

This is the right answer when your design is non-standard - virtualized infinite scroll with custom animations, a spreadsheet-style layout, or a combination table and timeline. You are not working around someone else's component; you are building your own with a solid data pipeline underneath.

The cost is setup time. A production-grade TanStack Table in Svelte with server-side data, virtual rows, and proper TypeScript generics is probably a day or two of scaffolding. That scaffolding then belongs to you, which is either a feature or a burden depending on your team.

Pick TanStack Table when: you need the same grid logic across React and Svelte, you have a non-standard UI, or you want to own every aspect of the rendering. It is also the right choice if you already use it on a React app and want consistency.

The free Svelte 5 native alternative: SVAR DataGrid

SVAR Svelte DataGrid from XB Software (the Webix team) is MIT-licensed and Svelte 5 native. It covers sorting, filtering, pagination, editing, and tree data. The free tier is genuinely capable - they monetize their Gantt and Kanban products, not the grid.

It is a real option, especially for internal tools where the MIT license matters more than the deepest feature set. Worth evaluating alongside SvGrid if you want to compare native Svelte options.

The enterprise default: AG Grid

AG Grid has the broadest feature set of any grid on this list. If you need integrated charting, advanced pivot tables, clipboard integration that matches Excel's behavior, or any of a dozen specialized enterprise features, AG Grid has probably had them for years. It is what most enterprise teams default to and what most senior developers have already used.

The Svelte support is a framework wrapper, not a native implementation. That is fine for most use cases. The free Community tier covers a lot, but the most useful enterprise features are in the paid tier.

Pick AG Grid when: Svelte-native feel is not a priority, you need features that simply do not exist elsewhere yet, or you need to move fast on something your team already knows.

The honest comparison

Most Svelte teams asking this question are building an internal data app or a SaaS product where the grid is a central feature. For that case, the tradeoff is roughly:

If I were starting a new SvelteKit app today with a data grid as a core feature, I would start with SvGrid and only reach for TanStack if the design required something truly custom. But I work on SvGrid, so test that claim yourself. The full feature comparison pages are there to help you verify it without taking my word for it.

Tagged: Alternatives