A framework for automated visual analytics.
AVA (
Visual Analytics) is a framework (or a solution) for more convenient visual analytics. The first A of AVA has many meanings. It states that this framework is from Alibaba, and its goal is to become an Automated, AI driven solution that supports Augmented analytics.
<div id="mountNode"></div>import { autoChart } from '@antv/chart-advisor';
const container = document.getElementById('mountNode');
const data = [
{field1: 'a', field2: '100'},
{field1: 'b', field2: '300'},
{field1: 'c', field2: '800'},
];
autoChart(container, data, {toolbar: true, development: true});
📦 AVA/CKB
CKB stands for Chart Knowledge Base. This package is the KB where empirical knowledge about visualization and charts is stored. The chart recommendation is based on it.
At the same time, this package also facilitates us to develop products of chart type selection.
@antv/knowledge // to get the chart knowledge baseDataWizard is a js/ts library for data processing. In the AVA framework, it is used to 'understand' the input dataset. However, it can also be used independently to develop some statistical or data mocking functions.
@antv/dw-analyzer // to understand a dataset
@antv/dw-random // to generate random mock dataChartAdvisor is the core component of AVA. It recommends charts based on dataset and analysis needs.
@antv/chart-advisor // to make charts automatically
AVA is jointly built by multiple core data visualization technology or product teams within Alibaba Group, including AntV & DeepInsight of Ant Financial, FBI of New Retail Technology Business Group and Kanaries of Freshhema.
We welcome all contributions. Please read our Contributing Guide first. You can submit any ideas as pull requests or as GitHub issues. Let's build a better AVA together.
