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Infinite Grouped List

Brings together infinite scrolling, group-based item organization, and numerous other enhancements to improve the end-user experience.

Key Features

• Infinite Scrolling: The widget supports loading more data as the user reaches the end of the list. This is essential for handling large datasets without overwhelming the user or their device.

• Grouping of Items: The widget can organize items into groups based on user-defined criteria. This helps to make sense of large amounts of data by breaking it down into manageable chunks.

• Customizable Loading and Error States: You can provide custom widgets to be displayed while data is being loaded or if an error occurs. This allows for a seamless, branded experience.

• Pull-to-Refresh: The widget incorporates a pull-to-refresh feature, letting users manually trigger a refresh of the list's content.

• Sticky Group Headers: Headers stick to the top of the list as the user scrolls, making it easier to understand the context of the data they're viewing. Can be changed.

Usage

To use the InfiniteGroupedList widget, you need to provide several callbacks:

• onLoadMore(PaginationInfo): A function that fetches more data.

  • PaginationInfo is a helper class that keeps track of the current offset and page of the InfiniteGroupedList. It's primarily used in the onLoadMore function, providing necessary information for paginated data fetching from a backend or local data source. In a typical scenario, these values are used as parameters for API calls or database queries to load the appropriate 'page' of data. For instance, in the onLoadMore function, the PaginationInfo instance is passed as an argument where you could use paginationInfo.offset and paginationInfo.page to fetch data accordingly from your data source.

• itemBuilder: A function that builds the individual list items.

• groupBy: A function that defines the criterion for grouping items.

• groupCreator: A function that assigns a name to each group.

The InfiniteGroupedList widget is a comprehensive solution for any use case that involves displaying large amounts of data in an organized, easy-to-navigate manner.

Examples can be found here, here & here.