@eljefedelrodeo/canvas-datagrid
v0.5.3
Published
Canvas based data grid web component. apable of displaying millions of contiguous hierarchical rows and columns without paging or loading, on a single canvas element.
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Maintainers
Readme
canvas-datagrid
Demo - City of Chicago government employee list. Thanks to data.gov.
- Works with Firefox, IE11, Edge, Safari and Chrome.
- Native support for touch devices (phones and tablets).
- Rich documentation, tutorials.
- Single canvas element, drawn in immediate mode, data size does not impact performance.
- Support for unlimited rows and columns without paging or loading.
- Rich API of events, methods and properties using the familiar W3C DOM interface.
- Extensible styling, filtering, formatting, resizing, selecting, and ordering.
- Support for hierarchal drill in style row level inner grids as well grids in cells.
- Customizable hierarchal context menu.
- Built in and custom styles.
- W3C Web Component. Works in all frameworks.
- Per-user styles, column sizes, row sizes, view preferences and settings using localStorage.
- Very small file size, no dependencies.
Documentation Tutorials Slack Support (message author for invite) Style Builder Download latest version (minified) Tests Source Code Latest Test Coverage Coveralls
Installation
With npm
npm install canvas-datagrid -D
Place the single source file ./dist/canvas-datagrid.js
in your web page using a script tag that points to the source or use webpack.
<script src="dist/canvas-datagrid.js"></script>
Alternatively, instead of downloading and installing, you can link directly to an NPM CDN like unpkg.com.
<script src="https://unpkg.com/canvas-datagrid"></script>
A function will be added to the global scope of the web page called canvasDatagrid
as well as module loader definitions.
Getting started
Works with webpack, without webpack or as a web component.
No matter how you load it, canvasDatagrid
is declared in the global scope.
Canvas-datagrid is a Web Component when
in a compatible browser, otherwise it is a <canvas>
tag.
Using pure JavaScript
var grid = canvasDatagrid();
document.body.appendChild(grid);
grid.data = [
{col1: 'row 1 column 1', col2: 'row 1 column 2', col3: 'row 1 column 3'},
{col1: 'row 2 column 1', col2: 'row 2 column 2', col3: 'row 2 column 3'}
];
Using Web Component
<canvas-datagrid class="myGridStyle" data="data can go here too">[
{"col1": "row 1 column 1", "col2": "row 1 column 2", "col3": "row 1 column 3"},
{"col1": "row 2 column 1", "col2": "row 2 column 2", "col3": "row 2 column 3"}
]</canvas-datagrid>
or
var grid = document.createElement('canvas-datagrid');
grid.data = [
{"col1": "row 1 column 1", "col2": "row 1 column 2", "col3": "row 1 column 3"},
{"col1": "row 2 column 1", "col2": "row 2 column 2", "col3": "row 2 column 3"}
];
Using Vue
<canvas-datagrid :data.prop="[{"col1": "row 1 column 1"}]"></canvas-datagrid>
More Demos
- Using Vue
- Using Webpack3: AMD
- Using React
- Web component example
- Loading data with XHR
- Sparkline example
- XHR data paging demo Jeopardy Questions API
Note about XHR paging demo: Thanks to jservice for the use of the free paging API. You must "load unsafe scripts" or relevant command to allow HTTPS (github) to make XHR requests to HTTP (Jeopardy Questions API). There is nothing unsafe about this.
Building & Testing
To install development dependencies. Required to build or test.
npm install
To build production and debug versions.
npm run build-all
To build production version.
npm run build-prd
To build debug version.
npm run build-dev
To build debug version anytime a file in ./lib changes.
npm run build-watch
To build documentation.
npm run build-docs
To run tests. Note: Headless tests will mostly fail due to lack of headless canvas pixel detection support. Use VM testing or your browser.
npm test
License
See License