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A brand new way of creating paginated DataTables in Flutter with sorting and filters

PagedDataTable #

pub package

PagedDataTable is a fully customizable and powerful data table widget for Flutter, supporting both cursor-based and offset-based pagination. It’s built entirely from scratch, without dependencies on Flutter’s native DataTable or Table. It follows Google’s Material You design principles. Whether you're building dashboards, admin panels, or any app with complex tabular data, this library makes it easy to display, sort, and filter your data.

Online Demo #

Explore a live demo of the table in action:
Check it out here

Why Use PagedDataTable? #

The library offers:

  • Horizontal scrolling: Handle columns wider than the screen by scrolling.
  • Expandable rows: Toggle row details on demand.
  • Fixed columns: Lock specific columns during horizontal scrolling.
  • In-place row updates: Edit objects directly within the table without needing separate views.
  • Cursor and offset pagination: Choose the pagination style that fits your use case.
  • Dynamic filtering and sorting: Filter by text, date, numbers, and more.
  • Controller-based modifications: Add or remove rows without reloading the entire table.
  • Custom themes: Easily change fonts, colors, and other styles to match your app's theme.

Table of Contents #


Quick Start #

PagedDataTable<int, User>(
  fetcher: (pageSize, sortModel, filterModel, pageToken) async {
    final result = await UserService.getUsers(
      filterByName: filterModel["name"],
      sortBy: sortModel.fieldName,
      sortByDirection: sortModel.descending ? 'desc' : 'asc',
      pageToken: pageToken, 
      pageSize: pageSize,
    );
    return (result.data, result.nextPageToken);
  },
  columns: [
    TableColumn(
      title: const Text("Name"),
      cellBuilder: (context, user, _) => Text(user.name),
    ),
    EditableTableColumn(
      title: const Text("Age"),
      getter: (user) => user.age.toString(),
      setter: (user, value) {
        user.age = int.tryParse(value) ?? user.age;
        return true;
      },
    ),
  ],
  filters: [
    TextTableFilter(id: "name", name: "Name"),
  ],
);

This minimal setup gives you a functional data table with pagination, filtering, and editable rows. Adjust the fetcher to fit your data source and watch the table handle your data seamlessly.

Setup #

To get started, create a PagedDataTable<K, T> widget, where:

  • K is the key type used for pagination.
  • T is the type of data you want to display in the table.
PagedDataTable<String, Post>(
  fetcher: (int pageSize, SortModel? sortModel, FilterModel filterModel, String? pageToken) => ...,
  columns: [...],
)

Important: K must extend Comparable.

Fetcher #

The fetcher function loads new pages when needed. It must return a FutureOr<(List<T>, K?)>, where the first value is the list of items and the second value is the token for the next page (if available).

PagedDataTable<String, Post>(
  fetcher: (int pageSize, SortModel? sortModel, FilterModel filterModel, String? pageToken) async {
    final result = await FetchService.listPosts();
    return (result.data, result.nextPageToken);
  },
  columns: [...],
)

By default, the table does not cache pages.

The header contains both column names and a filter bar. You can customize it by passing a widget to the filterBarChild property (e.g., a PopupMenuButton).

The footer property allows you to fully customize the footer. If not provided, a DefaultFooter will be rendered with the following widgets:

  • RefreshTable: Reloads the current dataset.
  • PageSizeSelector: Adjusts the number of items per page.
  • CurrentPage: Shows the current page number.
  • NavigationButtons: Go to the next or previous page.

Use built-in widgets like RefreshTable and NavigationButtons to build your own footer:

PagedDataTable<String, Post>(
  fetcher: ...,
  columns: ...,
  footer: Row(
    children: [
      RefreshButton(),
      CurrentPage(),
      NavigationButtons(),
    ],
  ),
)

Columns #

PagedDataTable offers two main column types:

  • ReadOnlyTableColumn<K, T>: Displays data without allowing edits.
  • EditableTableColumn<K, T, V>: Allows in-place editing of cell content.
PagedDataTable<String, Post>(
  columns: [
    TableColumn(
      title: const Text("Author"),
      cellBuilder: (context, item, index) => Text(item.author),
    ),
    EditableTableColumn(
      title: const Text("Post Title"),
      getter: (item) => item.title,
      setter: (item, newValue) {
        item.title = newValue;
        return true;
      },
    ),
  ],
)

K and T are the same parameters defined in the PagedDataTable widget.

Every column has:

  • title: the column's title. A widget used to display column's name (e.g. Text).
  • size: configures the column's size. By default, it is a FractionalColumnSize(.1), which means it will take 10% of the available width. You can use FixedColumnSize, FractionalColumnSize, RemainingColumnSize and MaxColumnSize.
  • format: applies a transformation to the cell's widget. You have NumericColumnFormat, which aligns content to the right and AlignColumnFormat which aligns cell's content to the alignment property. You can create your own implemeting the ColumnFormat interface.
  • sort and id: both properties are used to indicate that a column can be used for sorting. The id is what you get in the Fetcher's SortModel.
  • There are other properties that you can use to play around and modify your columns. Check out the ReadOnlyTableColumn's documentation.

If you want to fix columns at the left, you can specify the amount of columns to fix using the fixedColumnCount property.

TableColumn<K, T>

Is the default ReadOnlyTableColumn that renders a cell using the cellBuilder property.

PagedDataTable<String, Post>(
  columns: [
    TableColumn(
      title: const Text("Author"),
      cellBuilder: (context, item, index) => Text(item.author),
    ),
  ],
)

EditableTableColumn<K, T, V>

This abstract class introduces two key properties:

  • getter: Retrieves the value V to be displayed in the cell.
  • setter: A function that sets a new value. It must return a boolean indicating if the operation was successful. If true, the cell updates with the new value; otherwise, it retains the original one.

There are three built-in editable columns:

  • DropdownTableColumn: Renders a dropdown menu for selecting values.
  • TextTableColumn: Initially displays a Text widget. Upon double-click, it switches to a TextField for in-place editing.
  • LargeTextTableColumn: Works like TextTableColumn but opens an overlay on double-click, providing a more spacious interface for editing large text content.

Creating Custom Columns

Extend ReadOnlyTableColumn or EditableTableColumn to define your own column types:

class MyCustomColumn<K, T> extends ReadOnlyTableColumn<K, T> {
  @override
  Widget build(BuildContext context, T item, int index) {
    return MyCustomCellWidget(item);
  }
}

Filters #

PagedDataTable supports multiple filter types, such as text fields, dropdowns, and date pickers. Use the filters property to define them:

PagedDataTable<String, Post>(
  filters: [
    TextTableFilter(id: "content", name: "Content", chipFormatter: (value) => 'Contains "$value"'),
    DropdownTableFilter<Gender>(
      id: "authorGender",
      name: "Author's Gender",
      chipFormatter: (value) => 'Gender: ${value.name}',
      items: Gender.values.map((e) => DropdownMenuItem(value: e, child: Text(e.name))).toList(),
    ),
  ],
)

The library offers five built-in filter types:

  • TextTableFilter: Displays a TextField for filtering based on raw text input.
  • DropdownTableFilter: Shows a DropdownButton with predefined options for selection.
  • DateTimePickerTableFilter: Provides a TextField that opens a DateTime picker dialog when tapped.
  • DateRangePickerTableFilter: Similar to DateTimePickerTableFilter but allows selecting a DateTimeRange.
  • ProgrammingTextFilter: This filter doesn't render anything in the filter dialog but can be configured programmatically using the controller.

Each filter must define the following core properties:

  • id: A unique identifier for the filter, referenced by the fetcher's FilterMode.
  • name: The label displayed in the filter picker.
  • chipFormatter: A function that converts the selected value into a user-friendly string, shown in the filter’s chip.

Creating Custom Filters

To create a custom filter, extend TableFilter<T> and implement buildPicker:

class CustomTextFilter extends TableFilter<String> {
  @override
  Widget buildPicker(BuildContext context, FilterState<String> state) {
    return TextFormField(
      initialValue: state.value,
      onSaved: (newValue) => state.value = newValue,
    );
  }
}

Controller #

Use the PagedDataTableController<K, V> to programmatically manage rows, filters, sorting, and pagination.

final controller = PagedDataTableController<String, Post>();
controller.addRow(Post(...));
controller.nextPage();

Internationalization #

Add the following line PagedDataTableLocalization.delegate to your MaterialApp or CupertinoApp to enable localization:

localizationsDelegates: [
  GlobalMaterialLocalizations.delegate,
  PagedDataTableLocalization.delegate
  GlobalCupertinoLocalizations.delegate,
  GlobalWidgetsLocalizations.delegate,
]

Supported Locales #

  • es: Spanish
  • en: English
  • de: German
  • nl: Dutch
  • tr: Turkish
  • fr: French
  • it: Italian
  • zh: Chinese
  • ru: Russian
  • th: Thai

Contribute #

All contributions are welcome! Feel free to open an issue or submit a pull request with your improvements.

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Publisher

verified publishertomasweigenast.me

A brand new way of creating paginated DataTables in Flutter with sorting and filters

Repository (GitHub)
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License

unknown (license)

Dependencies

flutter, flutter_localizations, intl

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