Introduction

VTable is a canvas table library based on visual rendering engine VRender.

The core capabilities are as follows:

1. Extreme performance: Supports fast computation and rendering of millions of data points.
2. Multidimensional analysis: Automatically analyzes and presents multidimensional data.
3. Strong expressiveness: Provides flexible and powerful graphic capabilities, seamlessly integrating with charts of VChart.

Repo Intro

This repository includes the following packages:

1. vtable: VTable components
2. vtable-docs: VTable documentation

Usage

Installation

npm package

``bash
// npm
npm install @visactor/vtable

// yarn
yarn add @visactor/vtable
`

Quick Start

`javascript
import * as VTable from '@visactor/vtable';

const columns =[
{
"field": "Order ID",
"caption": "Order ID",
},
{
"field": "Customer ID",
"caption": "Customer ID",
},
{
"field": "Product Name",
"caption": "Product Name",
},
{
"field": "Sales",
"caption": "Sales",
},
{
"field": "Profit",
"caption": "Profit",
}
];

const option = {
records:[
{
"Order ID": "CA-2018-156720",
"Customer ID": "JM-15580",
"Product Name": "Bagged Rubber Bands",
"Sales": "3.024",
"Profit": "-0.605"
},
{
"Order ID": "CA-2018-115427",
"Customer ID": "EB-13975",
"Product Name": "GBC Binding covers",
"Sales": "20.72",
"Profit": "6.475"
},
...
],
columns,
widthMode:'standard'
};
const tableInstance = new VTable.ListTable(document.getElementById(CONTAINER_ID), option);


``

##

More demos and detailed tutorials

Related Links

- Official website

Ecosystem

| Project | Description |
| ----------------------------------------------------------- | -------------------------------------------------------------------------------------- |
| AI-generated Components | AI-generated table component. |

Contribution

If you would like to contribute, please read the Code of Conduct 和 Guide first。

Small streams converge to make great rivers and seas!

License

MIT License