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Three libraries for traditional charts, stock, and maps. Features a hand-drawn style theme option.
Set of products for charting different types of data. Has a special Oracle Apex integration option.
A tight set of chart types in a library with a small file size. Different looking default theme than other commercial libraries.
A series of charting libraries for a variety of uses. Can be compatible back to IE6.
Integrated suite of charting libraries with traditional charts types plus maps, stock, Gantt, grid and org charts in one package.
Free and Open Source Libraries
Apache ECharts is a powerful, interactive charting and data visualization library for browser
3D graph viewer powered by WebGL (three.js)
Financial lightweight charts built with HTML5 canvas
A library of modular chart components built on D3
Chart image and QR code web API
📈 A small, fast chart for time series, lines, areas, ohlc & bars
a fork of C3 that tracks D3 releases more closely.
Simple, lightweight chart library that uses SVG to render the chart, and CSS to style it.
Allows the user to manipulate documents based on data to render charts in SVG.
Simple API to render line, bar, area, and donut charts
Unique syntax that lets the developer describe the data using DSL. Has the ability to create facets.
Awesome charts for AngularJS.
Angular plugin for creating charts
JQuery plugin for creating charts
Open source jQuery plugin for drawing charts. Contains many commonly used features but may use different naming conventions for these items.
lit-line is a minimal line chart library for modern websites.
nivo provides a rich set of dataviz components, built on top of the awesome d3 and Reactjs libraries
Data Visualization Components
React wrapper for Chart.js
Modular React charts made with d3.js
React SDK for Muze charting Library
Data Visualization Components
A collection of composable React components for building interactive data visualizations
Data Visualization Resources
A place to go when you're wondering which chart type is best. A project by Severino Ribecca.
Information and opinions on presenting data more effectively.
A resource on maps, visualizations, stats, and design by Nathan Yau, formerly of the New York Times.
Dataviz critic (and Columbia professor) Kaiser Fung breaks down data visualizations to identify what is wrong and recommends ways to make them better.
Noted data visualization author and professor Aberto Cairo's blog on dataviz trends and best practices.
Dataviz consultant Andy Kirk compiles examples, resources, and reference materials on the subject of charting and visualization.