VTable

VTable is not just a high-performance multidimensional data analysis table, but also a grid artist that creates art between rows and columns.

Introduction • demo • Tutorial • API•

English| 简体中文

（video）

Introduction

VTable is 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

// npm
npm install @visactor/vtable

// yarn
yarn add @visactor/vtable

Quick Start

// this demo you can run on codesanbox https://codesandbox.io/s/vtable-simple-demo-g8q738
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 = {
  parentElement: document.getElementById(CONTAINER_ID),
  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,
};
const tableInstance = new VTable.ListTable(option);

More demos and detailed tutorials

⌨️ Development

First of all, please install @microsoft/rush

$ npm i --global @microsoft/rush

Then clone locally:

# clone
$ git clone git@github.com:VisActor/VTable.git
$ cd VTable
# install dependencies
$ rush update
# start vtable demo
$ cd packages/vtable
$ rushx demo

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