awesome-awesomeness/terminal/charting2

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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A declarative, efficient, and simple JavaScript library for building responsive charts

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Table of Contents
⟡  Commercial Libraries (#commercial-libraries)
⟡  Free and Open Source Libraries (#free-and-open-source-libraries)
⟡  Free Libraries (#free-libraries)
⟡  Framework-Specific Libraries (#framework-specific-libraries)
⟡  Data Visualization Resources (#data-visualization-resources)

Commercial Libraries
⟡ amCharts (https://www.amcharts.com/) - Three libraries for traditional charts, stock, and maps. Features a hand-drawn style theme option.
⟡ AnyChart (http://www.anychart.com/) - Set of products for charting different types of data. Has a special Oracle Apex integration option.
⟡ CanvasJS (http://canvasjs.com/) - A tight set of chart types in a library with a small file size. Different looking default theme than other commercial libraries.
⟡ FusionCharts (http://www.fusioncharts.com/) - Charting library with a strong maps component.
⟡ Highcharts (http://www.highcharts.com/) - A series of charting libraries for a variety of uses. Can be compatible back to IE6.
⟡ JSCharting (https://JSCharting.com/) - Integrated suite of charting libraries with traditional charts types plus maps, stock, Gantt, grid and org charts in one package.
⟡ Kendo UI (https://www.telerik.com/kendo-ui) - Premium charting library with native UI components available for Angular, React, and Vue.
⟡ ZingChart (http://www.zingchart.com) - 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
⟡ apexcharts.js (https://github.com/apexcharts/apexcharts.js) - A JavaScript Chart Library with simple API.
⟡ Billboard.js (https://naver.github.io/billboard.js/) - a fork of C3 that tracks D3 releases more closely.
⟡ C3.js (http://c3js.org/) - D3 based reusable chart library.
⟡ Chart.js (http://www.chartjs.org/) - Tiny library (11kb!) including core chart types.
⟡ Charts.css (https://chartscss.org/) - CSS data visualization framework.
⟡ Chartist (https://gionkunz.github.io/chartist-js/) - Simple, lightweight chart library that uses SVG to render the chart, and CSS to style it.
⟡ Chartkick (https://github.com/ankane/chartkick) - JavaScript charts with one line of Ruby.
⟡ D3.js (https://d3js.org/) - Allows the user to manipulate documents based on data to render charts in SVG.
⟡ dc.js (https://dc-js.github.io/dc.js/) - D3 Library with crossfilter (http://square.github.io/crossfilter/) support
⟡ dygraphs (https://github.com/danvk/dygraphs) - Interactive zoomable time series charts.
⟡ ECharts (https://github.com/ecomfe/echarts) - A powerful charting and visualization library for browser.
⟡ EJSChart (https://github.com/EmpriseCorporation/EJSCharts) - enterprise ready charting library.
⟡ Graphosaurus (https://github.com/frewsxcv/graphosaurus) - 3D graph viewer powered by WebGL (three.js)
⟡ lightweight-charts (https://github.com/tradingview/lightweight-charts) - Financial lightweight charts built with HTML5 canvas
⟡ Morris.js (http://morrisjs.github.io/morris.js) - Simple API to render line, bar, area, and donut charts
⟡ Plotly (https://github.com/plotly/plotly.js) - Built on top of d3 and stack.gl, allowing users to create basic charts and SVG maps.
⟡ Plottable (https://github.com/palantir/plottable) - Library with OOP style syntax to build charts.
⟡ QuickChart (https://github.com/typpo/quickchart) - Web API that renders static chart images.
⟡ rgraph (http://www.rgraph.net/) - 2D/3D javascript charts with google sheets import capabilites.
⟡ sigma.js (https://github.com/jacomyal/sigma.js) - Graphs / Network diagram library built with canvas.
⟡ Smoothie Charts (https://github.com/joewalnes/smoothie) - JavaScript charts for realtime streaming data.
⟡ TauCharts (https://www.taucharts.com/) - Unique syntax that lets the developer describe the data using DSL. Has the ability to create facets.
⟡ μPlot (https://github.com/leeoniya/uPlot) - A small (< 25 KB min), fast chart for time series, lines, areas, ohlc & bars.
⟡ uvCharts (https://github.com/imaginea/uvCharts) - JavaScript Charting library built using d3.js
⟡ vis.js (http://visjs.org/) - Network diagrams, descriptive timelines with labels, and has 3D graphs.
⟡ reaviz (https://reaviz.io) - Modular chart component library for React.
⟡ reaflow (https://reaflow.dev) - Modular diagram engine for build static or interactive editors. 

Free Libraries
⟡ Google Charts (https://developers.google.com/chart/) - Maps are dialed in (of course) and some cool animation options. Extensive docs and use community (forum).

Framework-Specific Libraries
Angular
⟡ Angular-Chart (http://jtblin.github.io/angular-chart.js)- Simple API to render line, bar, area, and donut charts
⟡ n3-charts (https://github.com/n3-charts/line-chart) - Easy to use library written with AngularJS, rendering charts with D3.
⟡ Angular-scale (https://github.com/kirillstepkin/scale) - Simple and lightweight library for creating line charts

Ember
⟡ Ember Charts (http://addepar.github.io/ember-charts/#/overview) - Five basic chart types ready to go in Ember.js projects.

jQuery
⟡ Flot (http://www.flotcharts.org/) - A JavaScript charting library for jQuery. Contains useful chart types but looks like it may no longer be in active development.
⟡ jqPlot (http://www.jqplot.com) - Open source jQuery plugin for drawing charts. Contains many commonly used features but may use different naming conventions for these items.
⟡ jqxChart (http://www.jqwidgets.com/jquery-widgets-documentation/documentation/jqxchart/jquery-chart-getting-started.htm) - Plenty of chart types rendering in SVG, Canvas, and VML.
⟡ JQuery-linechart (https://github.com/kirillstepkin/jquery-linechart) - Simple and lightweight library for creating line charts

Lit-html
⟡ lit-line (https://github.com/apinet/lit-line) - {fast, small, interactive, fully responsive} Line Chart web component build on top of lit-html.

React
⟡ nivo (https://github.com/plouc/nivo) - React components to easily build dataviz apps, built on top of D3.
⟡ react-vis (https://github.com/uber/react-vis) - a composable visualization system by Uber
⟡ vx (https://vx-demo.now.sh/) collection of reusable low-level visualization components, on top of d3
⟡ Potion (http://numberpicture.com/build) - Low-level building blocks for constructing animated visualizations with React & D3.
⟡ react-chart-js (https://github.com/jerairrest/react-chartjs-2) - React wrapper for Chart.js
⟡ react-d3 (https://github.com/esbullington/react-d3) - Charting library that relies on React for generating SVG markup and d3 to calculate path values.
⟡ react-muze (https://github.com/chartshq/react-muze) - React wrapper for muze (https://muzejs.org/) (free data visualization library for creating exploratory data visualizations in browser, using WebAssembly)
⟡ react-vis (https://github.com/uber-common/react-vis) - A collection of React components to render common data visualization charts
⟡ recharts (http://recharts.org) - Redefined chart library built with React and D3
⟡ Victory (https://github.com/FormidableLabs/victory) - A collection of composable React components for building interactive data visualizations

Data Visualization Resources
⟡ Dataviz Catalogue (http://datavizcatalogue.com) - A place to go when you're wondering which chart type is best. A project by Severino Ribecca.
⟡ Evergreen Data (http://stephanieevergreen.com) - Information and opinions on presenting data more effectively.
⟡ Flowing Data (http://flowingdata.com) - A resource on maps, visualizations, stats, and design by Nathan Yau, formerly of the New York Times.
⟡ Junk Charts (http://junkcharts.typepad.com) - 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 (http://www.thefunctionalart.com) - Noted data visualization author and professor Aberto Cairo's blog on dataviz trends and best practices.
⟡ Visualizing Data (http://www.visualisingdata.com) - Dataviz consultant Andy Kirk compiles examples, resources, and reference materials on the subject of charting and visualization.
⟡ Well Formed Data (http://well-formed-data.net/archives/1210/little-boxes) - Thought pieces on information visualization and design by Moritz Stefaner previously of the World Economic Forum.