Migrating from @vincjo/datatables
@vincjo/datatables is a small, ergonomic Svelte datatable helper: you
wrap your data in a handler and it gives you reactive sorting,
filtering, and pagination while you keep your own table markup. SvGrid
covers the same job and then keeps going - virtualization, an
Excel-style filter menu, inline editing, and a render component - so the
port is mostly about deciding how much markup you want to keep.
Estimated effort: 30 min - 2 hours per table. A simple list is a 30-minute swap; a feature-heavy one trends toward two hours.
Vocabulary cheat sheet
| @vincjo/datatables | sv-grid |
|---|---|
new TableHandler(data, { rowsPerPage }) |
createSvGrid({...}) or <SvGrid> |
<ThSort {table} field="name"> |
rowSortingFeature (header sort built in) |
<ThFilter {table} field="name"> |
columnFilteringFeature |
table.global.set(query) (search) |
api.setGlobalFilter(query) |
<Pagination {table} /> / <RowCount> |
Built in; toggle showPagination |
table.rows (current page rows) |
api.getDisplayedRows() |
Server mode (table.load(...)) |
externalSort / externalFilter + refetch |
Your own <table> + {#each table.rows} |
<SvGrid> render component |
Before / after
- <script>
- import { TableHandler, ThSort, ThFilter, Pagination } from '@vincjo/datatables'
- const table = new TableHandler(rows, { rowsPerPage: 25 })
- </script>
-
- <table>
- <thead><tr>
- <ThSort {table} field="name">Name</ThSort>
- <ThSort {table} field="amount">Amount</ThSort>
- </tr></thead>
- <tbody>
- {#each table.rows as row}
- <tr><td>{row.name}</td><td>{row.amount}</td></tr>
- {/each}
- </tbody>
- </table>
- <Pagination {table} />
+ <script lang="ts">
+ import {
+ SvGrid, tableFeatures, rowSortingFeature, columnFilteringFeature,
+ type ColumnDef,
+ } from 'sv-grid-community'
+
+ const features = tableFeatures({ rowSortingFeature, columnFilteringFeature })
+ const columns: ColumnDef<typeof features, Row>[] = [
+ { field: 'name', header: 'Name' },
+ { field: 'amount', header: 'Amount', format: { type: 'currency', currency: 'USD' } },
+ ]
+ </script>
+
+ <SvGrid data={rows} columns={columns} features={features} showPagination />
Server-side data
- // @vincjo/datatables: drive a server with the handler's load hook
- const table = new TableHandler(rows, { rowsPerPage: 25 })
- table.load((state) => fetchRows(state)) // sort/filter/page sent to your API
+ <SvGrid
+ data={rows} columns={columns} features={features}
+ externalSort={true} externalFilter={true}
+ onSortingChange={(clauses) => refetch({ sort: clauses })}
+ onFiltersChange={(f) => refetch({ filters: f.columns })}
+ />
What you get for free
- A render component with virtualization - you stop authoring the
<table>and the{#each}. - Excel-style filter menu, cell-range selection + copy, and inline editing with typed editors.
- Grouping, tree data, and master/detail when the table grows up.
- Pro features - export, import, pivot, AI.
What you give up
- The tiny footprint. If all you ever need is sort / filter /
paginate over a small list,
@vincjo/datatablesstays smaller. - Total markup control. SvGrid renders the table; you theme it with
--sg-*tokens and Tailwind rather than writing every<td>.
See also
- SvGrid vs @vincjo/datatables - the side-by-side comparison
- Migrating from svelte-headless-table - sibling Svelte guide
- Why headless? - keep your own markup if you want to
Frequently asked questions
Should I move from @vincjo/datatables to SvGrid?
Move when a hand-rolled table stops being enough - when you need virtualization
for large datasets, an Excel-style filter menu, inline editing, grouping, or
tree data. For a small sort/filter/paginate list, @vincjo/datatables is a fine,
lighter choice.
Is SvGrid also MIT-licensed like @vincjo/datatables?
Yes. sv-grid-community is MIT, like @vincjo/datatables. SvGrid adds an
optional paid sv-grid-pro pack (export, import, pivot, AI).
Can I keep my own table markup after switching?
Yes. SvGrid has a headless core (createSvGrid + row-model factories) you can
drive with your own markup, the same way @vincjo/datatables lets you. Most
teams use the <SvGrid> component instead because it removes the boilerplate.