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 Table	Dash AgGrid	Mito 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	Yes	Yes	Yes
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.