Dash DataTable vs ag-Grid

Struggling to choose between Dash DataTable and ag-Grid? Both products offer unique advantages, making it a tough decision.

Dash DataTable is a Development solution with tags like python, dashboard, data-table, interactivity.

It boasts features such as Interactive data tables, Sorting, Filtering, Pagination, Row selection, Editing cells, Exporting data, Custom styling, Column resizing, Virtualization for large datasets and pros including Open source and free, Easy to use with Python/Dash, Highly customizable, Good performance with large datasets, Active development and support.

On the other hand, ag-Grid is a Development product tagged with grid, data-grid, table, enterprise, incell-editing, custom-rendering.

Its standout features include Rich data grid with high performance, In-cell editing, Customizable cell rendering, Column grouping and pivoting, Client-side and server-side row models, Full keyboard navigation, Data export to CSV and Excel, Accessibility support, Internationalization, and it shines with pros like Very fast and can handle large datasets, Many features for advanced use cases, Good documentation, Open source and free for most use cases.

Feature	Dash DataTable	ag-Grid
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

Dash DataTable

Description: Dash DataTable is an open-source Python library for building interactive data tables. It allows for filtering, sorting, pagination, editing, selecting rows, exporting, and more. Dash DataTable makes it easy to display large, dynamic datasets.

ag-Grid

Description: ag-Grid is a feature-rich JavaScript grid component for building complex enterprise-level data grid solutions. It supports rich in-cell editing, custom cell rendering, rows and columns grouping, Server-Side Row Model for extreme performance, and more.

Key Features Comparison

Dash DataTable Features

• Interactive data tables
• Sorting
• Filtering
• Pagination
• Row selection
• Editing cells
• Exporting data
• Custom styling
• Column resizing
• Virtualization for large datasets

ag-Grid Features

• Rich data grid with high performance
• In-cell editing
• Customizable cell rendering
• Column grouping and pivoting
• Client-side and server-side row models
• Full keyboard navigation
• Data export to CSV and Excel
• Accessibility support
• Internationalization

Pros & Cons Analysis

Dash DataTable

Pros

• Open source and free
• Easy to use with Python/Dash
• Highly customizable
• Good performance with large datasets
• Active development and support

Cons

• Steep learning curve
• Less features than some commercial options
• Need to know Python and Dash

ag-Grid

Pros

• Very fast and can handle large datasets
• Many features for advanced use cases
• Good documentation
• Open source and free for most use cases

Cons

• Steep learning curve
• Not as beginner friendly as some other grids
• Advanced features require commercial license

Pricing Comparison

Dash DataTable

• Open Source
• Free

ag-Grid

• Open Source
• Freemium
• Subscription-Based