SvGrid vs @vincjo/datatables
@vincjo/datatables is a lightweight, headless Svelte datatable helper for sorting, filtering, and paginating your own markup.
Project site · @vincjo/datatables
Verdict
@vincjo/datatables is a great minimal pick when you want to keep your own table markup and just need sort / filter / paginate. SvGrid is the fuller grid - virtualization, Excel filters, editing, a render component - for heavier apps.
At a glance
| Fact | SvGrid | @vincjo/datatables | Checked |
|---|---|---|---|
| Latest version | 3.0.3 | 2.8.1 | 12 Sep 2026 |
| Licence field on npm | MIT | MIT | 12 Sep 2026 |
| Last published | 11 Sep 2026 | 4 Jun 2026 | 12 Sep 2026 |
| Svelte 5 support | Native (Svelte 5 runes) | Yes (peer svelte ^5.56.1) | 12 Sep 2026 |
| npm downloads, 30 days to 10 Sep 2026 | 16,900 | 72,800 | 12 Sep 2026 |
| Bundle, minified + gzip | 97.6 KB JS + 10.5 KB CSS | 10.2 KB JS, no separate stylesheet, svelte external | 12 Sep 2026 |
| Engine alone, minified + gzip | 2.7 KB JS, no separate stylesheet (`createSvGrid` from `@svgrid/grid/core`) | the row above; the package is the engine | 22 Sep 2026 |
| Frameworks | Svelte 5 | Svelte | 12 Sep 2026 |
| Pricing | MIT core; @svgrid/enterprise from $299 per developer per year (Indie, under $1M revenue), $599 for Enterprise | @vincjo/datatables is MIT on npm and free; no licence is sold | 12 Sep 2026 |
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 3.0.4 measured 22 Sep 2026 with packages/grid/scripts/measure-size.mjs; @vincjo/datatables 2.8.1 entry `whole package` measured 12 Sep 2026 with packages/grid/scripts/measure-competitor-bundles.mjs.
Overview
@vincjo/datatables gives you a small, ergonomic handler that wraps your data with reactive sorting, filtering, and pagination while you keep full control of the markup. It is MIT-licensed and popular for its simplicity.
SvGrid scales further up the curve: it keeps a headless engine but also ships a virtualized render component, an Excel-style filter menu, inline editing, cell selection, and an imperative API - for when a hand-rolled table stops being enough.
Looking for a @vincjo/datatables alternative for Svelte?
It is a helper for your own markup rather than a grid, which is exactly right until you need virtualization, inline editing or column pinning and start building them yourself. Moving to SvGrid keeps the headless option and adds those. If your table is a few hundred rows of your own HTML, staying put is the smaller dependency.
What they have in common
- Svelte-native, not a port.
- Headless-friendly: you can drive your own markup.
- MIT-licensed.
- Client- and server-side data modes.
Where SvGrid is stronger
- Built-in virtualized render component - no need to author the table.
- Excel-style filter menu, inline editing, and cell-range selection.
- Row + column virtualization for large datasets.
- Imperative SvGridApi + @svgrid/mcp MCP server.
- Optional Enterprise pack for export, import, pivot, and AI.
Where @vincjo/datatables is stronger
- Much smaller surface and bundle if all you need is sort / filter / paginate.
- You keep 100% control of the table markup with zero render opinions.
- Faster to learn for a simple table.
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.
| Feature | SvGrid | @vincjo/datatables |
|---|---|---|
| Svelte native | Yes | Yes - Svelte 5 peer range |
| Render component | Yes - <SvGrid /> | No - headless, you render the markup |
| Virtualization | Yes | No |
| Excel-style filters | Yes | Partial - Basic filtering |
| Inline editing | Yes | No - BYO |
| Cell selection + copy | Yes | No - BYO |
| Grouping / tree / master-detail | Yes | No |
| Footprint for a simple table | Partial - Larger | Yes - Tiny |
| AI / MCP integration | Yes | No |
When to choose SvGrid
- You need virtualization, editing, or Excel-style filtering.
- You want a render component instead of hand-authoring the table.
- You expect the grid to grow into grouping, tree, or master/detail.
When to choose @vincjo/datatables
- You only need sort / filter / paginate over a small dataset.
- You want to keep full control of your own table markup.
- You want the smallest possible bundle for a simple table.
Migration effort
Estimated effort: 30 minutes to 2 hours per table.
What you give up:
- A tiny dependency-free helper when a sortable, filterable list is all you need.
- Full control of the markup without opting into a headless mode.
Live example
Headless -> your own table: open it in the gallery for the source and the full-size version.
The bottom line
For a small sort/filter/paginate list you keep full control over, @vincjo/datatables is delightfully light. The moment you need virtualization, Excel-style filters, editing, or grouping, SvGrid is the grid that already has them.
Frequently asked questions
SvGrid vs @vincjo/datatables - which to pick?
Pick @vincjo/datatables for a small, markup-controlled table; pick SvGrid when you need virtualization, editing, filters, or grouping. Both are MIT and Svelte-native.
Is @vincjo/datatables lighter than SvGrid?
Yes, for a simple table it is smaller. SvGrid carries more because it ships a virtualized render component and a full feature set.
Can SvGrid be headless like @vincjo/datatables?
Yes - its headless core lets you keep your own markup, the same way @vincjo/datatables does.
Is SvGrid a good @vincjo/datatables alternative for Svelte?
It is a helper for your own markup rather than a grid, which is exactly right until you need virtualization, inline editing or column pinning and start building them yourself. Moving to SvGrid keeps the headless option and adds those. If your table is a few hundred rows of your own HTML, staying put is the smaller dependency.
Related comparisons and docs
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.
- vincjo-docs: A headless, SSR-friendly toolkit with no dependency: sort, filter, search and pagination in client-side and server-side modes; you render the markup (checked 12 Sep 2026)
- vincjo-npm: MIT; the latest version declares a Svelte 5 peer range (checked 12 Sep 2026)