Mito vs. Other Dash Components

Compare Dash grid components to find the best one for you.

Which Grid Should I Use for My Use Case?

  1. If you're looking to allow users to perform spreadsheet operations on their data, Mito is a good choice. This includes formulas like SUM/VLOOKUP, pivot tables, and graphing.

  2. If you want to record user edits and automate data work, Mito is a good choice. Mito records all user edits to your dataframes as a Python script, and then replays edits on new datasets.

  3. If you're looking for advanced visual customization (with CSS and JavaScript), AgGrid is a good choice. This includes complete color customization, row width customization, and more.

  4. If you're for a solid, simple, static layout of data, and you're looking to just use core packages, Dash Table is a good choice.

Functionality Supported by These Component:

Dash TableDash AgGridMito for Dash

Exploration Features

Sorting

Yes

Yes

Yes

Column Resizing

No

Yes

Yes

Search

No

No

Yes

Filtering

Limited by default

Limited by default

Yes

Toggle Filter

No

Enterprise-only

Yes

Conditional Formatting

Programmatically, CSS/JS

Programmatically, Python

By grid end-user

Graphing

No

Enterprise-only

Yes, Plotly charts

Pivot Tables

No

Enterprise-only

Yes

Editing Features

Edit Specific Cells

Yes

Yes

Yes

Reorder rows

No

Yes

No

Excel-like Formulas

No

No

Yes

Import from XLSX

No

No

Yes

Import from CSV

No

No

Yes

Import from Snowflake

No

No

Enterprise-only

AI Transformation

No

No

Yes

Export to CSV

No

Yes

Yes

Export to XLSX

No

Enterprise-only

Yes

Automation Features

Python Macro-Record

No

No

Yes

Rerun Edits on New Data

No

No

Yes

Styling Features

Change coloring

Yes

Yes

Yes

Change Font

Yes

Yes

No

Row Spacing

Yes

Yes

No

Row Height

With CSS

Yes

No

Column Width

Programmatically, Python

Yes

By grid end-user

Pin Columns

No

Yes

No

Conditional Formatting

Programmatically, CSS/JS

Programmatically, Python

By grid end-user

Change Icons

No

Yes

No

Style Inputs

No

Yes

No

Style Print Format

No

Yes

No

Tree Data

No

Yes

No

Performance

Supports Unlimited Rows

Gets laggy on large data

Yes

Yes

Displays Unlimited Rows

Gets laggy on large data

Yes, with infinite row model

No, defaults to first 1500

Supports Unlimited Cols

Gets laggy on large data

Gets laggy on >100 cols.

Yes

Displays Unlimited Cols

Gets laggy on large data

Gets laggy on >100 cols.

No, defaults to first 1500

Package

Open-Source

Non-third-party Package

Yes

pip install dash-ag-grid

pip install mitosheet dash

Dash is designed to allow for ultimate flexibility and customization. That means even if a component doesn't support some of the operations that you want your app to support, you can probably add custom code to your Dash app to support the functionality.

For example, although DashTable does not directly support XLSX import, you could still add this to your application with additions to your UI.

This feature table is meant to demonstrate what features are available in the grid-component only -- so you'll better understand what you have to build yourself.

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