# Introducing Dash Mantine Datatable

**URL:** <https://community.plotly.com/t/introducing-dash-mantine-datatable/96801>\
**Category:** Dash Python\
**Tags:** community-components\
**Created:** [April 17, 2026, 8:38pm UTC](https://community.plotly.com/t/introducing-dash-mantine-datatable/96801 "2026-04-17T20:38:18Z")\
**Posts on this page:** 6\
**Page:** 1

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**Author:** ![gallinijeff](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/gallinijeff/32/32458_2.png) [@gallinijeff](https://community.plotly.com/u/gallinijeff)\
**Post date:** [April 17, 2026, 8:38pm UTC](https://community.plotly.com/t/introducing-dash-mantine-datatable/96801/1 "2026-04-17T20:38:18Z")

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# Introducing **`dash-mantine-datatable` (v0.1.0)**

Built atop of the popular `dash-mantine-components`, Dash Mantine Datatable is a wrapper of the Mantine Datatable

- PyPI: [dash-mantine-datatable · PyPI](https://pypi.org/project/dash-mantine-datatable/0.1.0/)
- Demo: [https://dash-mantine-datatable.onrender.com/](https://dash-mantine-datatable.onrender.com/)
- GitHub: [GitHub - jeffgallini/dash-mantine-datatable: Mantine DataTable, now in Dash · GitHub](https://github.com/jeffgallini/dash-mantine-datatable)

### Motivation

I’ve used Dash AG Grid quite a bit, but often found it:

- heavier than needed for many use cases
- less aligned with the Mantine design system

This project aims to provide a simpler, more cohesive alternative for common table needs.

### Features

- Mantine-native styling
- Sorting, filtering, pagination
- Lightweight and easy to integrate

### Example

```python
table = dmdt.DataTable(
    id="overview-table",
    data=EMPLOYEES[:6],
    columns=OVERVIEW_COLUMNS,
    sortStatus={"columnAccessor": "name", "direction": "asc"},
    striped=True,
    withTableBorder=True,
    withColumnBorders=True,
    paginationMode="none",
    radius="md",
    bg="var(--mantine-color-body)",
)

```

 ![image](https://us1.discourse-cdn.com/flex024/uploads/plot/original/3X/b/6/b643144e49b3aa46b7c5f91ec1508748ae33d765.png)

## Future Releases

- Focus for the next release will be on improving the editing cells and grouping functionality.

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<div class="post-metadata">

**Author:** ![gallinijeff](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/gallinijeff/32/32458_2.png) [@gallinijeff](https://community.plotly.com/u/gallinijeff)\
**Post date:** [April 17, 2026, 8:49pm UTC](https://community.plotly.com/t/introducing-dash-mantine-datatable/96801/2 "2026-04-17T20:49:56Z")

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@adamschroeder

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**Author:** ![Stevert](https://avatars.discourse-cdn.com/v4/letter/s/c2a13f/32.png) [@Stevert](https://community.plotly.com/u/Stevert)\
**Post date:** [April 18, 2026, 2:58am UTC](https://community.plotly.com/t/introducing-dash-mantine-datatable/96801/3 "2026-04-18T02:58:38Z")

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Looks really nice! I also found ag-grid to be a bit heavy for some uses, so I’m glad to see a mantine native option!

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<div class="post-metadata">

**Author:** ![gallinijeff](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/gallinijeff/32/32458_2.png) [@gallinijeff](https://community.plotly.com/u/gallinijeff)\
**Post date:** [April 18, 2026, 4:49pm UTC](https://community.plotly.com/t/introducing-dash-mantine-datatable/96801/4 "2026-04-18T16:49:12Z")

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Also, I need to give a shoutout to @AnnMarieW and @snehilvj for their work on the `dash-mantine-components` you inspired this package.

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**Author:** ![AnnMarieW](https://avatars.discourse-cdn.com/v4/letter/a/ec9cab/32.png) [@AnnMarieW](https://community.plotly.com/u/AnnMarieW)\
**Post date:** [April 18, 2026, 7:13pm UTC](https://community.plotly.com/t/introducing-dash-mantine-datatable/96801/5 "2026-04-18T19:13:08Z")

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This looks like a nice addition to the dash-mantine ecosystem!

I’m looking forward to taking it for a spin 🙂

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<div class="post-metadata">

**Author:** ![adamschroeder](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/adamschroeder/32/17280_2.png) [@adamschroeder](https://community.plotly.com/u/adamschroeder)\
**Post date:** [April 20, 2026, 2:14pm UTC](https://community.plotly.com/t/introducing-dash-mantine-datatable/96801/6 "2026-04-20T14:14:23Z")

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This is powerful and very useful for the dash Mantine community. Thank you @gallinijeff .  
I look forward to seeing the development in the grouping functionality