SvGrid vs TanStack Table (Svelte)

Verdict

The closest peer to SvGrid's headless core. SvGrid ships a rendered component on top of the same kind of engine, in Svelte 5 runes; TanStack stays framework-agnostic and asks you to build and maintain the DOM, the virtualizer, the filter menus and the editors yourself.

Migration guide: moving from TanStack Table (Svelte) to SvGrid

At a glance

Bundle sizes: each package built alone with Vite in library mode, minified, gzip level 9, Svelte kept external where a package uses it (it is a peer dependency). SvGrid 3.0.3 measured 12 Sep 2026 with packages/grid/scripts/measure-size.mjs; @tanstack/svelte-table 9.2.4 entry `whole package` measured 12 Sep 2026 with packages/grid/scripts/measure-competitor-bundles.mjs.

Overview

TanStack Table is the canonical headless table library: it provides the data pipeline (filter, sort, group, expand, paginate, select) and leaves the markup to you. The v9 line ships a Svelte adapter, @tanstack/svelte-table, whose peer dependency range is Svelte 5, with createTable and getters for reactive data instead of the stores the v8 adapter used.

SvGrid covers the same headless surface (createSvGrid, row models, a features object) and adds a full render component with virtualization, Excel-style filters, inline editing, cell-range selection with a fill handle, grouping with aggregation, master/detail, a server-side row model and integrated charts, all in the MIT package.

Looking for a TanStack Table alternative for Svelte?

People arrive here wanting less glue code, and that is the trade: you keep a headless engine with row models and composable features, and you stop hand-building the DOM, the virtualizer, the filter menus and the editors. If you need one table engine across React and Svelte, stay where you are; that portability is exactly what SvGrid gives up.

What they have in common

• Headless-first architecture with row-model factories and a features object.
• Composable features: sorting, filtering, grouping, pagination, expansion, selection.
• TypeScript-first, MIT-licensed, with paid support available from the maintainers.
• A createTable / createSvGrid entry point that takes columns, data and features.
• Svelte 5 in both: runes in SvGrid, a Svelte 5 peer range in the TanStack adapter.

Where SvGrid is stronger

• Ships <SvGrid />: a production render component with virtualization, Excel-style filters, cell-range selection, inline editing, grouping, master/detail and pagination. With TanStack Table you build all of this.
• The headless core is written in Svelte 5 runes; the TanStack adapter wraps a framework-agnostic core.
• An imperative API (SvGridApi) for adding rows, setting filters and mutating columns from outside the component.
• A gallery of runnable examples that covers every feature, and per-feature docs pages with embedded demos.
• In-grid AI helpers free in @svgrid/grid, and @svgrid/mcp so assistants fetch real example sources and can check the code they write.
• A paid pack with Excel, PDF and print output, import, pivot tables and support.

Where TanStack Table (Svelte) is stronger

• A far larger community; the At a glance table has the download counts side by side.
• Multi-framework parity: if your shop has React, Vue and Svelte apps, the API stays consistent.
• A smaller bundle when all you want is the engine; the At a glance table has both measured sizes.
• Framework-specific documentation for each adapter and years of production use in large companies.
• Enterprise Support as private consulting, and sponsor perks such as priority issue requests.

Feature by feature

Yes: shipped in the package. Partial: needs extra work or a companion package. Paid tier: only in a paid edition. No: not available. n/a: does not apply.

Measured performance

Measured 12 Sep 2026 with the harness in the repository (pnpm bench:compare): 100,000 rows, fastest of 7 samples per operation, each grid in a fresh page, Chromium through Playwright, headless, on win32 10.0.26200 x64, Intel(R) Core(TM) Ultra 7 255U; a developer workstation, not a dedicated bench rig. Versions: @svgrid/grid 3.0.3, @tanstack/svelte-table 9.2.4. Lower is better.

The filter row is not like for like: each grid is driven through its own single-column filter API, and the amount of work differs. The comparison guide explains the method, what is left out and why.

TanStack Table renders nothing, so its adapter draws the row model through a minimal fixed-height windowed table with no virtualizer library, filter UI or editors; the numbers are the engine plus that DOM.

When to choose SvGrid

• You are on Svelte 5 and want a grid that uses runes idiomatically, headless or rendered.
• You want a drop-in <SvGrid /> with virtualization, filters, editing and selection working in one prop pass.
• You want AI tools to give accurate answers about your grid through MCP, and to have their code checked.
• You want paid support available without switching libraries later.

When to choose TanStack Table (Svelte)

• You ship to multiple frameworks (React, Vue, Svelte) and want one API across them.
• You explicitly want a headless library and intend to build your own render layer.
• You want the smallest possible engine and the largest possible community.
• A shadcn-svelte data table built on TanStack already does what you need.

Migration effort

Estimated effort: About 30 minutes per read-only grid, 2-4 hours for editing-heavy grids.

What you give up:

• One table engine across React, Vue, Svelte, Solid, Qwik and Lit.
• The smallest engine-only bundle; the At a glance table has both measured sizes.
• The TanStack ecosystem around the table: Virtual, Query and the shadcn-svelte data table recipe.

Migration guide: moving from TanStack Table (Svelte) to SvGrid

Live example

Headless -> your own table: open it in the gallery for the source and the full-size version.

The bottom line

If you build across React, Vue and Svelte and want one headless API, TanStack Table is the safer bet. If you are committed to Svelte 5 and want virtualization, Excel-style filters, editing and selection out of the box, SvGrid gets you there with far less code, and you keep a headless core when you need it.

Frequently asked questions

Is SvGrid better than TanStack Table for Svelte?

For a Svelte 5 app, SvGrid is usually the faster path: it ships a virtualized render component with built-in filters, editing and accessibility, so there is no DOM layer to write. The TanStack Svelte adapter is Svelte 5 in its v9 line, but it is headless by design; you still build and maintain the table, virtualization and editing UI. TanStack wins if you need one API across several frameworks, or if owning that markup is the point.

Can I keep a headless setup like TanStack Table?

Yes. createSvGrid plus the row-model factories is a headless engine; you can drive your own markup exactly as with TanStack and adopt the SvGrid component only where you want it. The headless docs and the headless demos on this page show both.

Does the TanStack Svelte adapter support Svelte 5?

Yes. The @tanstack/svelte-table package on npm declares a Svelte 5 peer range in its v9 line and its examples pass data through getters rather than stores. The At a glance table shows the version and the peer range as read from the registry.

How long is a TanStack Table to SvGrid migration?

About thirty minutes for a read-only grid and two to four hours for editing-heavy ones. The row-model concepts map almost one to one; the migration guide walks through createTable to createSvGrid, the features object and the rendering options.

Which is smaller, TanStack Table or SvGrid?

The TanStack adapter, as an engine with no rendering. The At a glance table has both packages measured the same way on the same date. Add what you would write on top of TanStack (a virtualizer, filter UI, editors) before comparing, since that is what the extra size in SvGrid is.

Is SvGrid a good TanStack Table alternative for Svelte?

People arrive here wanting less glue code, and that is the trade: you keep a headless engine with row models and composable features, and you stop hand-building the DOM, the virtualizer, the filter menus and the editors. If you need one table engine across React and Svelte, stay where you are; that portability is exactly what SvGrid gives up.

Related comparisons and docs

• SvGrid vs svelte-headless-table
• SvGrid vs SVAR Svelte DataGrid
• SvGrid vs Flowbite / Skeleton / shadcn-svelte tables
• Comparison: SvGrid vs AG Grid vs TanStack Table
• Build a table from scratch
• Server-side data (load on demand)
• Headless virtualization

Sources and last verified

Every claim on this page was last checked on 12 Sep 2026. Versions, licences and download counts come from the npm registry; feature and pricing statements from the pages listed below.

• tanstack-svelte: The Svelte adapter is headless: build your own markup from the table instance's state and APIs; createTable takes features, columns and data through a getter; adapters exist for React, Vue, Solid, Qwik, Lit and Svelte (checked 12 Sep 2026)
• tanstack-npm: The latest version's peerDependencies declare svelte ^5.0.0; licence MIT (checked 12 Sep 2026)
• tanstack-home: Sponsor-supported with gold, silver and bronze sponsors; sponsors get private discord channels, priority issue requests and direct support; an Enterprise Support tier offers private consulting and expert support; no licence for the table is sold (checked 12 Sep 2026)