ag-Grid vs Dash DataTable

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

ag-Grid is a Development solution with tags like grid, data-grid, table, enterprise, incell-editing, custom-rendering.

It boasts features such as 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 pros including Very fast and can handle large datasets, Many features for advanced use cases, Good documentation, Open source and free for most use cases.

On the other hand, Dash DataTable is a Development product tagged with python, dashboard, data-table, interactivity.

Its standout features include Interactive data tables, Sorting, Filtering, Pagination, Row selection, Editing cells, Exporting data, Custom styling, Column resizing, Virtualization for large datasets, and it shines with pros like Open source and free, Easy to use with Python/Dash, Highly customizable, Good performance with large datasets, Active development and support.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

ag-Grid

ag-Grid

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.

Categories:
grid data-grid table enterprise incell-editing custom-rendering

Ag-Grid Features

  1. Rich data grid with high performance
  2. In-cell editing
  3. Customizable cell rendering
  4. Column grouping and pivoting
  5. Client-side and server-side row models
  6. Full keyboard navigation
  7. Data export to CSV and Excel
  8. Accessibility support
  9. Internationalization

Pricing

  • Open Source
  • Freemium
  • Subscription-Based

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


Dash DataTable

Dash DataTable

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.

Categories:
python dashboard data-table interactivity

Dash DataTable Features

  1. Interactive data tables
  2. Sorting
  3. Filtering
  4. Pagination
  5. Row selection
  6. Editing cells
  7. Exporting data
  8. Custom styling
  9. Column resizing
  10. Virtualization for large datasets

Pricing

  • Open Source
  • Free

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