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A curated list of chart and dataviz resources that developers may find useful.


zingchartzingchart/awesome-chartingUpdated 1186 46 57



A curated list of chart and dataviz resources that developers may find useful. Focused on relevant and currently active JavaScript charting libraries for different use cases. Ordered alphabetically in each category.

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Table of Contents

Commercial Libraries

  • amCharts - Three libraries for traditional charts, stock, and maps. Features a hand-drawn style theme option.
  • AnyChart - Set of products for charting different types of data. Has a special Oracle Apex integration option.
  • CanvasJS - A tight set of chart types in a library with a small file size. Different looking default theme than other commercial libraries.
  • FusionCharts - Charting library with a strong maps component.
  • Highcharts - A series of charting libraries for a variety of uses. Can be compatible back to IE6.
  • ZingChart - Built to render large data sets other libraries can't handle. Super customizable styling and new features added often. Everything in one modular library.

Free and Open Source Libraries

  • C3.js - D3 based reusable chart library.
  • Chart.js - Tiny library (11kb!) including core chart types.
  • Chartist - Simple, lightweight chart library that uses SVG to render the chart, and CSS to style it.
  • Chartkick - JavaScript charts with one line of Ruby.
  • D3.js - Allows the user to manipulate documents based on data to render charts in SVG.
  • dc.js - D3 Library with crossfilter support
  • dygraphs - Interactive zoomable time series charts.
  • ECharts - A powerful charting and visualization library for browser.
  • EJSChart - enterprise ready charting library.
  • Graphosaurus - 3D graph viewer powered by WebGL (three.js)
  • Morris.js - Simple API to render line, bar, area, and donut charts
  • Plotly - Built on top of d3 and, allowing users to create basic charts and SVG maps.
  • Plottable - Library with OOP style syntax to build charts.
  • rgraph - 2D/3D javascript charts with google sheets import capabilites.
  • sigma.js - Graphs / Network diagram library built with canvas.
  • Smoothie Charts - JavaScript charts for realtime streaming data.
  • TauCharts - Unique syntax that lets the developer describe the data using DSL. Has the ability to create facets.
  • uvCharts - JavaScript Charting library built using d3.js
  • vis.js - Network diagrams, descriptive timelines with labels, and has 3D graphs.

Free Libraries

  • Google Charts - Maps are dialed in (of course) and some cool animation options. Extensive docs and use community (forum).

Framework-Specific Libraries


  • Angular-Chart- Simple API to render line, bar, area, and donut charts
  • n3-charts - Easy to use library written with AngularJS, rendering charts with D3.
  • Angular-scale - Simple and lightweight library for creating line charts


  • Ember Charts - Five basic chart types ready to go in Ember.js projects.


  • Flot - A JavaScript charting library for jQuery. Contains useful chart types but looks like it may no longer be in active development.
  • jqPlot - Open source jQuery plugin for drawing charts. Contains many commonly used features but may use different naming conventions for these items.
  • jqxChart - Plenty of chart types rendering in SVG, Canvas, and VML.
  • JQuery-linechart - Simple and lightweight library for creating line charts


  • Formiddable - A collection of composable React components for building interactive data visualizations
  • react-d3 - Charting library that relies on React for generating SVG markup and d3 to calculate path values.
  • react-vis - A collection of React components to render common data visualization charts
  • recharts - Redefined chart library built with React and D3

Data Visualization Resources

  • Dataviz Catalogue - A place to go when you're wondering which chart type is best. A project by Severino Ribecca.
  • Evergreen Data - Information and opinions on presenting data more effectively.
  • Flowing Data - A resource on maps, visualizations, stats, and design by Nathan Yau, formerly of the New York Times.
  • Junk Charts - Dataviz critic (and Columbia professor) Kaiser Fung breaks down data visualizations to identify what is wrong and recommends ways to make them better.
  • The Functional Art - Noted data visualization author and professor Aberto Cairo's blog on dataviz trends and best practices.
  • Visualizing Data - Dataviz consultant Andy Kirk compiles examples, resources, and reference materials on the subject of charting and visualization.
  • Well Formed Data - Thought pieces on information visualization and design by Moritz Stefaner previously of the World Economic Forum.
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