In this article, we’ll explore the top 5 features of SVAR Svelte DataGrid focusing on its interactivity, quick navigation through large datasets and easy way of managing tabular data.
In the fast-paced world of web development, finding the right tools can make all the difference. For Svelte developers seeking to equip their apps with feature-rich data tables, SVAR Svelte DataGrid can be a reasonable option to try.
Written entirely in Svelte, open-source, this UI component offers a reusable and lightweight code that seamlessly integrates an advanced, high-performance and responsive data table on a web page.
Of course, you can write a custom solution but if you're looking for a ready-to-use data grid component, here are the top 5 reasons to give SVAR DataGrid a closer look:
🚀 1. Unbeatable Performance with Large Datasets
By following the best Svelte traditions, SVAR DataGrid delivers optimized performance when displaying and updating large datasets allowing users to seamlessly navigate and work with thousands of rows and columns.
Virtual scrolling
When a user scrolls through the data, SVAR Svelte DataGrid renders only visible records. This ensures lightning-fast performance and prevents your app from becoming slow or unresponsive, even with extensive volumes of data.
Dynamic loading
Instead of loading the entire dataset at once, you can enable dynamic loading of data. SVAR DataGrid fetches and loads data as the user scrolls through the records, which reduces initial loading time and helps for better user experience.
Pagination
If you choose to handle large datasets with pagination, you can simply import the Pager control or set up server-side pagination so data records are loaded by portions each time the user navigates to a different page.
🧩 2. Flexible and Responsive Layout
It’s important to ensure that your data tables look great on any screen size, showing all the necessary and important data in the most attractive way. SVAR DataGrid gives you all the tools to achieve this.
Control column widths
SVAR DataGrid provides control over column widths, allowing you to:
- set fixed widths for specific columns or define default widths for all columns;
- dynamically adjust column widths to ensure the table fills the available page width;
- auto-adjust column widths based on header text, cell content, or both.
Just choose your optimal layout to make the data grid look good on any screen size. Plus, if needed, a user can manually resize columns with drag-and-drop to customize the table view.
Pin, collapse or hide/show columns
For tables with a large number of columns, you can enable features that provide a more compact layout: fixed columns, collapsible columns or the ability to show/hide columns on demand, for example, by using the context menu on the grid header.
Responsive layout
SVAR Svelte DataGrid automatically adjusts its size to fit the container, providing a seamless integration into your application layout. Another option is to let the datagrid adapt its size based on the content, ensuring that all data is visible and accessible. Wherever on the page you place the datagrid, it will look the best!
📂 3. Multi-Row Selection and Expandable Rows
DataGrid simplifies data handling by allowing multi-row selection and expandable content, making it easier to work with complex data.
Multiple row selection
You can configure rows selection with ease, whether you need single or multiple row selection. This functionality is particularly useful when performing actions on a subset of the data, such as editing, deleting, or exporting selected rows.
Row selection with checkboxes
Additionally, SVAR Svelte DataGrid offers the option to use checkboxes for row selection, making the process more intuitive and improving overall usability.
Tree-like expandable rows
While we’re speaking of rows, SVAR DataGrid allows you to enable expandable rows to display tree-like structures, providing more context and details without cluttering the main grid view.
📝 4. Rich Inline Editing Capabilities
SVAR Svelte DataGrid supports the ability to edit grid data inline, reducing the need for external forms and pop-ups. The list of supported cell editors include:
- select
- multi-select dropdown
- text / textarea
- datepicker
- toggle switch
- checkbox
- richselect
If you want to add other editing controls, the DataGrid API allows you to add any custom editors with some minimal efforts.
📤 5. Export to CSV
Since exporting data from a grid to CSV is a vital feature for many applications, SVAR Svelte DataGrid makes this process seamless by allowing users to export data tables with just a button click. The export functionality preserves the structure and formatting of your data, enabling a smooth transition from on-screen viewing to offline manipulation.
Conclusion
For developers faced with the task of building flexible and interactive data tables, exploring ready-made components like the SVAR Svelte DataGrid may be a way to go. This can potentially speed up development processes for certain projects.
Simply initialize the DataGrid on your page and customize its features to fit your app's specific needs. Connecting it to your backend database for data fetching and updates is simplified with the RestDataProvider, a built-in helper component.
Check out the online demos or get started to see if SVAR DataGrid is the right fit for enhancing your Svelte app.
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