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.
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.
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 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.