A framework for automated visual analytics. https://ava.antv.vision/en
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.
Packages
AVA/AutoChart
AutoChart is a React component that automatically suggests and renders the right chart based on data. It can automatically generate and render the proper chart for visualization based on the input data with one-line of code.
@antv/auto-chart // one-click visualization component
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 base
AVA/DataWizard
DataWizard is a js/ts library for data processing. In the AVA framework, it is used to understand and process the input dataset. Moreover, it can also be used independently to develop some data processing, statistics or data mocking functions.
import { DataFrame } from @antv/data-wizard // data processing
import { statistics } from @antv/data-wizard // statistical methods
import { random } from @antv/data-wizard // data mocking
AVA/ChartAdvisor
ChartAdvisor is the core component of AVA. It recommends charts based on dataset and analysis needs.
@antv/chart-advisor // to make charts automatically
AVA/LiteInsight
LiteInsight is a js/ts library employed for Exploratory Data Analysis (EDA). It can automatically discover data insights from multidimensional data.
@antv/lite-insight // to get data insight
AVA/SmartBoard
SmartBoard is a js/ts library employed for Dashboard visualization of charts. It can automatically generates the corresponding Dashboard configurations based on input charts and insights.
@antv/smart-board // to get Dashboard parameters
Sources
Contribution 
AVA is jointly built by multiple core data visualization technology or product teams within Alibaba Group and Ant Group, including AntV & DeepInsight of Ant Group, 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.
More at Wiki: Development.
Collaboration
Links
