

Apache Echarts
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Apache ECharts is a free, powerful charting and visualization library offering easy ways to add intuitive, interactive, and highly customizable charts to your commercial products. It is written in pure JavaScript and based on zrender, which is a whole new lightweight canvas...
Features
Properties
- Support for Themes
- Customizable
Features
- Extensible by Plugins/Extensions
- Dark Mode
- Charts
- Data visualization
Tags
- charting
- visualization-tool
- Data Analysis
- Javascript Libraries
- Accessible
- javascript-based
- charts-and-visualization
Apache Echarts News & Activities
Highlights All activities
Recent activities
- bonninguer liked Apache Echarts
POX added Apache Echarts as alternative to Tableau, D3.js, RAWGraphs and Plotly- POX added Apache Echarts
Apache Echarts information
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Post comment/reviewWhat is Apache Echarts?
Apache ECharts is a free, powerful charting and visualization library offering easy ways to add intuitive, interactive, and highly customizable charts to your commercial products. It is written in pure JavaScript and based on zrender, which is a whole new lightweight canvas library.
Features:
- Flexible Chart Types: Apache ECharts provides more than 20 chart types available out of the box, along with a dozen components, and each of them can be arbitrarily combined to use.
- Powerful Rendering Engine: Easily switch between Canvas and SVG rendering. Progressive rendering and stream loading make it possible to render 10 million data in realtime.
- Professional Data Analysis: Manage data through datasets, which support data transforms like filtering, clustering, and regression to help analyze multi-dimensional analysis of the same data.
- Elegant Visual Design: The default design follows visualization principles, supports responsive design. Flexible configurations make it easy to customize.
- A Healthy Community: The active open source community ensures the healthy development of the project and contributes a wealth of third-party extensions.
- Accessibility-Friendly: Automatically generated chart descriptions and decal patterns help users with disabilities understand the content and the stories behind the charts.






