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 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.
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.