506 lines
23 KiB
HTML
506 lines
23 KiB
HTML
<h1 id="awesome-dataviz">Awesome Dataviz</h1>
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<p><a href="https://github.com/sindresorhus/awesome"><img
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src="https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg"
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alt="Awesome" /></a> <img
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src="https://github.com/javierluraschi/awesome-dataviz/actions/workflows/main.yaml/badge.svg"
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alt="Test" /></p>
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<p>A curated list of awesome <strong>open-source</strong> data
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visualizations frameworks, libraries and software. Inspired by <a
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href="https://github.com/vinta/awesome-python">awesome-python</a> and
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originally created by <a
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href="https://github.com/fasouto">fasouto</a>.</p>
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<h2 id="contents">Contents</h2>
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<ul>
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<li><a href="#awesome-dataviz">Awesome dataviz</a>
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<ul>
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<li><a href="#javascript-tools">JavaScript tools</a>
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<ul>
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<li><a href="#charting-libraries">Charting libraries</a></li>
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<li><a href="#charting-libraries-for-graphs">Charting libraries for
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graphs</a></li>
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<li><a href="#maps">Maps</a></li>
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<li><a href="#d3">d3</a></li>
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<li><a href="#react">React</a></li>
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<li><a href="#misc">Misc</a></li>
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</ul></li>
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<li><a href="#android-tools">Android tools</a></li>
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<li><a href="#c-tools">C++ tools</a></li>
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<li><a href="#golang-tools">Golang tools</a></li>
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<li><a href="#ios-tools">iOS tools</a></li>
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<li><a href="#python-tools">Python tools</a></li>
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<li><a href="#r-tools">R tools</a></li>
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<li><a href="#ruby-tools">Ruby tools</a></li>
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<li><a href="#markup-based-tools">Markup-based tools</a></li>
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<li><a href="#other-tools">Other tools</a></li>
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</ul></li>
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<li><a href="#resources">Resources</a>
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<ul>
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<li><a href="#books">Books</a></li>
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<li><a href="#catalogs">Catalogs</a></li>
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<li><a href="#podcasts">Podcasts</a></li>
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<li><a href="#twitter-accounts">Twitter accounts</a></li>
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<li><a href="#websites">Websites</a></li>
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</ul></li>
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<li><a href="#contributing">Contributing</a></li>
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<li><a href="#license">License</a></li>
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</ul>
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<h2 id="javascript-tools">JavaScript tools</h2>
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<h3 id="charting-libraries">Charting libraries</h3>
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<ul>
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<li><a href="https://apexcharts.com/">ApexCharts</a> - Modern &
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Interactive SVG Charts.</li>
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<li><a href="https://www.chartjs.org/">Chart.js</a> - Charts with the
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canvas tag.</li>
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<li><a href="https://gionkunz.github.io/chartist-js/">Chartist.js</a> -
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Responsive charts with great browser compatibility.</li>
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<li><a href="https://github.com/dc-js/dc.js">dc.js</a> is an
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multi-Dimensional charting built to work natively with crossfilter.</li>
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<li><a href="https://dygraphs.com/">Dygraphs</a> - Interactive line
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charts library that works with huge datasets.</li>
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<li><a href="https://github.com/ecomfe/echarts">Echarts</a> - Highly
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customizable and interactive charts ready for big datasets.</li>
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<li><a href="https://github.com/epochjs/epoch">Epoch</a> - Perfect to
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create real-time charts.</li>
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<li><a href="https://developers.google.com/chart">Google Charts</a> -
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Interactive charts for browsers and mobile devices.</li>
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<li><a href="https://g2plot.antv.vision/en">G2</a> - an interactive and
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responsive charting library based on the grammar of graphics, maintained
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by Alibaba</li>
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<li><a href="http://www.graphicsjs.org">GraphicsJS</a> - Lightweight JS
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graphics library with intuitive API, based on SVG/VML.</li>
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<li><a href="https://github.com/apinet/lit-line">lit-line</a> - SVG Line
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Chart Web Component - light, fast, interactive & fully
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responsive.</li>
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<li><a href="https://metricsgraphicsjs.org/">MetricsGraphics.js</a> -
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Optimized for time-series data.</li>
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<li><a href="https://github.com/novus/nvd3">NVD3</a> - A reusable
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charting library written in d3.js.</li>
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<li><a href="https://github.com/plotly/plotly.js/">Plotly.js</a> -
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Powerful declarative library with support for 20 chart types.</li>
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<li><a href="https://github.com/hustcc/echarts-for-react">React
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wrapper</a></li>
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<li><a href="https://techanjs.org/">TechanJS</a> - Stock and financial
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charts.</li>
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<li><a href="https://github.com/nhnent/tui.chart">TOAST UI Chart</a> -
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Complete library with support for legacy browsers.</li>
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<li><a href="https://github.com/vizzuhq/vizzu-lib">Vizzu</a> - Library
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for animated data visualizations and data stories.</li>
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</ul>
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<h3 id="charting-libraries-for-graphs">Charting libraries for
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graphs</h3>
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<ul>
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<li><a href="https://marvl.infotech.monash.edu/webcola/">Cola.js</a> - A
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tool to create diagrams using constraint-based optimization techniques.
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Works with d3 and svg.js.</li>
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<li><a href="https://js.cytoscape.org/">Cytoscape.js</a> - JavaScript
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library for graph drawing maintained by <a
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href="https://www.cytoscape.org">Cytoscape</a> core developers.</li>
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<li><a href="https://sigmajs.org/">Sigma.js</a> - JavaScript library
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dedicated to graph drawing.</li>
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<li><a href="https://github.com/anvaka/VivaGraphJS">VivaGraph</a> -
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Graph drawing library for JavaScript.</li>
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<li><a href="https://github.com/antvis/g6">G6</a> - Graph visualization
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library powered by Javascript & Typescript, maintained by
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Alibaba</li>
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<li><a href="https://github.com/bpmn-io/diagram-js">diagram.js</a> -
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Javascript diagram library serving as the basis for camunda’s online
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BPMN modeler.</li>
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<li><a href="https://github.com/uber/react-digraph">Uber React
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Digraph</a> - React.js based directed graph library maintained by
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UBER.</li>
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</ul>
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<h3 id="maps">Maps</h3>
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<ul>
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<li><a href="https://github.com/CartoDB/cartodb">CARTO</a> - CARTO is an
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open source tool that allows for the storage and visualization of
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geospatial data on the web.</li>
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<li><a href="https://github.com/AnalyticalGraphicsInc/cesium">Cesium</a>
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- WebGL 3D globes and maps.</li>
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<li><a href="https://deck.gl/">Deck.gl</a> - WebGL framework for visual
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exploratory data analysis of large datasets.</li>
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<li><a href="https://github.com/antvis/L7">L7</a> - Large-scale
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WebGL-powered Geospatial Data Visualization analysis framework,
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maintained by Alibaba</li>
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<li><a href="https://github.com/antvis/L7Plot">L7 Plot</a> - Geospatial
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Visualization Chart Library, maintained by Alibaba</li>
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<li><a href="https://github.com/markmarkoh/datamaps">DataMaps</a> -
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Interactive SVG maps using D3.js.</li>
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<li><a href="https://github.com/antvis/dipper">Dipper</a> - Map
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application development framework powered by L7, maintained by
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Alibaba.</li>
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<li><a href="https://leafletjs.com">Leaflet</a> - JavaScript library for
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mobile-friendly interactive maps.</li>
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<li><a href="https://github.com/neveldo/jQuery-Mapael">Mapael</a> -
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jQuery plugin based on raphael.js to display vector maps.</li>
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</ul>
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<h3 id="d3">d3</h3>
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<ul>
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<li>See <a href="https://github.com/wbkd/awesome-d3">Awesome D3</a></li>
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</ul>
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<h3 id="react">React</h3>
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<ul>
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<li><a href="https://github.com/alibaba/BizCharts">BizCharts</a> - Data
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visualization library based on <a
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href="https://github.com/antvis/G2">G2</a> and React</li>
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<li><a href="https://github.com/antvis/Graphin">Graphin</a> - Graph
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visualization library powered by React & Typescript (built on top of
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G6, maintained by Alibaba.</li>
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<li><a href="https://github.com/uber/react-vis">React-vis</a> - React
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components to build data visualizations.</li>
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<li><a href="https://github.com/recharts/recharts">Recharts</a> -
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Declarative react components to render D3 charts.</li>
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<li><a href="https://formidable.com/open-source/victory/">Victory</a> -
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Composable components for building interactive data visualizations</li>
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<li><a href="https://github.com/plouc/nivo">nivo</a> - Supercharged
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dataviz components for React with isomorphic ability, <a
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href="https://nivo.rocks">demo</a>.</li>
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<li><a href="https://github.com/finnfiddle/react-svg-textures">React Svg
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Textures</a> - Textures.js ported to React. Fully isomorphic.</li>
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<li><a
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href="https://devexpress.github.io/devextreme-reactive/react/chart/">DevExtreme
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React Chart</a> - High-performance plugin-based React chart for
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Bootstrap and Material Design.</li>
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</ul>
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<h2 id="react-native">React Native</h2>
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<ul>
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<li><a href="https://github.com/antvis/F2">F2</a> - An elegant,
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interactive and flexible charting library for mobile, maintained by
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Alibaba</li>
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</ul>
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<h3 id="misc">Misc</h3>
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<ul>
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<li><a href="https://github.com/graphology/graphology">Graphology</a> -
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A robust & multipurpose Graph object for javascript &
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TypeScript; Serves as a base library to power other graph visualization
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libraries.</li>
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<li><a href="https://github.com/lipka/piecon">Piecon</a> - Pie charts in
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your favicon.</li>
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<li><a href="https://riccardoscalco.github.io/textures/">Textures.js</a>
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- A library to create SVG patterns.</li>
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<li><a href="https://timeline.knightlab.com/">Timeline.js</a> - Create
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interactive timelines.</li>
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<li><a href="https://vega.github.io/vega/">Vega</a> - Vega is a
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visualization grammar, a declarative format for creating, saving, and
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sharing interactive visualization designs.</li>
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<li><a href="https://vega.github.io/vega-lite/">Vega-Lite</a> - is a
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high-level grammar of interactive graphics. It provides a concise JSON
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syntax for rapidly generating visualizations to support analysis.</li>
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<li><a href="https://visjs.org/">Vis.js</a> - A dynamic visualization
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library including timeline, networks and graphs (2D and 3D).</li>
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</ul>
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<h2 id="android-tools">Android tools</h2>
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<ul>
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<li><a
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href="https://github.com/bmarrdev/android-DecoView-charting">DecoView</a>
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- Animated circular wheel chart library.</li>
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<li><a
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href="https://github.com/PhilJay/MPAndroidChart">MPAndroidChart</a> - A
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powerful & easy to use chart library.</li>
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<li><a
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href="https://github.com/diogobernardino/WilliamChart">WilliamChart</a>
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- Simple chart library.</li>
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</ul>
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<h2 id="c-tools">C++ tools</h2>
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<ul>
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<li><a href="https://github.com/lferry007/LargeVis">LargeVis</a> -
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implementation of the <a
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href="https://arxiv.org/abs/1602.00370">LargeVis paper</a>, used to
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visualize large-scale and high-dimensional data.</li>
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<li><a
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href="https://github.com/facontidavide/PlotJuggler">PlotJuggler</a> -
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open-source Qt5 application to plot charts (based on Qwt).</li>
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<li><a
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href="https://gitlab.kitware.com/vtk/vtk/blob/master/README.md">Visualization
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Toolkit (VTK)</a> - open-source library for 3d Graphics, image
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processing and visualization.</li>
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</ul>
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<h2 id="golang-tools">Golang tools</h2>
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<ul>
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<li><a href="https://github.com/ajstarks/svgo">svgo</a> - Go Language
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Library for SVG generation.</li>
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<li><a href="https://github.com/gonum/plot">plot</a> - API for building
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and drawing plots in Go.</li>
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<li><a href="https://github.com/chenjiandongx/go-echarts">go-echars</a>
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- Simple yet powerful data visualizing library for Go.</li>
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</ul>
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<h2 id="ios-tools">iOS tools</h2>
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<ul>
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<li><a
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href="https://github.com/Boris-Em/BEMSimpleLineGraph">BEMSimpleLineGraph</a>
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- Highly customizable and interactive line graphs.</li>
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<li><a href="https://github.com/danielgindi/Charts">Charts</a> - iOS
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port of MPAndroidChart. You can create charts for both platforms with
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very similar code.</li>
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<li><a href="https://github.com/Jawbone/JBChartView">JBChartView</a> -
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Charting library for both line and bar graphs.</li>
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<li><a href="https://github.com/kevinzhow/PNChart">PNChart</a> - A
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simple and beautiful chart lib used in Piner and CoinsMan.</li>
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</ul>
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<h2 id="machine-learning-tools">Machine Learning tools</h2>
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<ul>
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<li><a href="https://github.com/microsoft/tensorwatch">TensorWatch</a> -
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Debugging and visualization tool for data science and machine
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learning</li>
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</ul>
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<h2 id="python-tools">Python tools</h2>
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<ul>
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<li><a href="https://altair-viz.github.io/">altair</a> - Declarative
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statistical visualizations, based on Vega-Lite.</li>
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<li><a href="https://bokeh.pydata.org/en/latest/">bokeh</a> -
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Interactive Web Plotting for Python.</li>
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<li><a href="https://github.com/spotify/chartify">Chartify</a> - Bokeh
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wrapper that makes it easy for data scientists to create charts.</li>
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<li><a href="https://github.com/tehmaze/diagram">diagram</a> - Text mode
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diagrams using UTF-8 characters</li>
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<li><a href="https://github.com/yhat/ggpy">ggplot</a> - plotting system
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based on <a href="#r-tools">R’s</a> ggplot2.</li>
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<li><a href="https://github.com/glumpy/glumpy">glumpy</a> - OpenGL
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scientific visualizations library.</li>
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<li><a href="https://holoviews.org/">holoviews</a> - Complex and
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declarative visualizations from annotated data.</li>
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<li><a href="https://github.com/nicohlr/ipychart">ipychart</a> - The
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power of Chart.js in Jupyter Notebook.</li>
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<li><a href="https://docs.enthought.com/mayavi/mayavi/">mayai</a> -
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interactive scientific data visualization and 3D plotting in
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Python.</li>
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<li><a href="https://matplotlib.org/">matplotlib</a> - 2D plotting
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library.</li>
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<li><a href="https://github.com/ResidentMario/missingno">missingno</a> -
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provides flexible toolset of data-visualization utilities that allows
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quick visual summary of the completeness of your dataset, based on
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matplotlib.</li>
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<li><a href="https://plot.ly/python/">plotly</a> - Interactive web based
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visualization built on top of <a
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href="https://github.com/plotly/plotly.js">plotly.js</a></li>
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<li><a href="https://github.com/heremaps/pptk">pptk</a> - Visualize and
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work with 2D/3D pointclouds</li>
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<li><a href="https://www.pyqtgraph.org/">PyQtGraph</a> - Interactive and
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realtime 2D/3D/Image plotting and science/engineering widgets.</li>
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<li><a href="https://github.com/pyvista/pyvista">PyVista</a> – 3D
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plotting and mesh analysis through a streamlined interface for the
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Visualization Toolkit (VTK)</li>
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<li><a href="https://seaborn.pydata.org/">seaborn</a> - A library for
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making attractive and informative statistical graphics.</li>
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<li><a href="https://toyplot.readthedocs.io/en/stable/">toyplot</a> -
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The kid-sized plotting toolkit for Python with grownup-sized goals.</li>
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<li><a href="https://github.com/stemkoski/three.py/">three.py</a> - Easy
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to use 3D library based on PyOpenGL. Inspired by Three.js.</li>
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<li><a href="https://veusz.github.io/">veusz</a> - Python multiplatform
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GUI plotting tool and graphing library</li>
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<li><a href="https://vispy.org/">VisPy</a> - High-performance scientific
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visualization based on OpenGL.</li>
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<li><a href="https://www.vtk.org/">vtk</a> - 3D computer graphics, image
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processing, and visualization that includes a Python interface.</li>
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<li><a
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href="https://github.com/pandas-profiling/pandas-profiling">pandas-profiling</a>
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- generates statistical analytic reports with visualization for quick
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data analysis.</li>
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<li><a href="https://github.com/pyecharts/pyecharts">pyechars</a> -
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Python binding for Echarts library.</li>
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</ul>
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<h2 id="r-tools">R tools</h2>
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<ul>
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<li><a href="https://ggplot2.tidyverse.org/">ggplot2</a> - A plotting
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system based on the grammar of graphics.</li>
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<li><a href="https://ggvis.rstudio.com/">ggvis</a> - A data
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visualization package with a syntax similar to ggplot2 which allows you
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to create rich interactive graphics.</li>
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<li><a href="https://lattice.r-forge.r-project.org">lattice</a> -
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trellis graphics for R</li>
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<li><a href="https://github.com/ropensci/plotly">plotly</a> -
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Interactive charts (including adding interactivity to ggplot2 output),
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cartograms and simple network diagrams</li>
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<li><a href="https://hafen.github.io/rbokeh/">rbokeh</a> - R Interface
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to Bokeh.</li>
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<li><a
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href="https://cran.r-project.org/web/packages/rgl/index.html">rgl</a> -
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3D Visualization Using OpenGL</li>
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<li><a href="https://shiny.rstudio.com">shiny</a> - Framework for
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creating interactive applications/visualisations</li>
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<li><a
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href="https://datastorm-open.github.io/visNetwork/">visNetwork</a> -
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Interactive network visualisations</li>
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</ul>
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<h2 id="ruby-tools">Ruby tools</h2>
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<ul>
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<li><a href="https://github.com/ankane/chartkick">Chartkick</a> - Create
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charts with one line of Ruby.</li>
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</ul>
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<h2 id="markup-based-tools">Markup-based tools</h2>
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<ul>
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<li><a
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href="https://mermaidjs.github.io/mermaid-live-editor">mermaidjs</a> - A
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simple markdown-like script language for generating charts from text via
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javascript</li>
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<li><a href="https://wavedrom.com/">wavedrom.com</a> - Draws your Timing
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Diagram or Waveform from simple textual description</li>
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</ul>
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<h2 id="other-tools">Other tools</h2>
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<p>Tools that are not tied to a particular platform or language. - <a
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href="https://github.com/mikesall/charted">Charted</a> - A charting tool
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that produces automatic, shareable charts from any data file. - <a
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href="https://github.com/gephi/gephi">Gephi</a> - An open-source
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platform for visualizing and manipulating large graphs - <a
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href="https://kepler.gl/">Kepler.gl</a> - Geospatial analysis tool for
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large-scale data sets. - <a
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href="https://github.com/knsv/mermaid">Mermaid</a> - A tool used to
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generate diagrams and flowcharts from text in a similar manner as
|
||
markdown. - <a href="https://rawgraphs.io">RAW</a> - Create web
|
||
visualizations from CSV or Excel files. - <a
|
||
href="https://github.com/holman/spark">Spark</a> - Sparklines for the
|
||
shell. It have several <a
|
||
href="https://github.com/holman/spark/wiki/Alternative-Implementations">implementations
|
||
in different languages</a>. - <a
|
||
href="https://github.com/ObservedObserver/visual-insights">Visual-Insights</a>
|
||
- Automatic insights extraction and visualization specification in data
|
||
analysis. - <a href="https://x6.antv.vision/en">X6</a> - diagram
|
||
creation library for rapid construction of DAG diagrams, ER diagrams,
|
||
flowcharts and other applications, maintained by Alibaba - <a
|
||
href="https://graphviz.org/">Graphviz</a> - Open source graph
|
||
visualization command line tool and library. From input text to
|
||
SVG,PDF,interactive web graph browser.</p>
|
||
<h1 id="resources">Resources</h1>
|
||
<h2 id="books">Books</h2>
|
||
<ul>
|
||
<li><a
|
||
href="https://www.amazon.com/Design-Information-Introduction-Histories-Visualizations/dp/1592538061">Design
|
||
for Information</a> by Isabel Meirelles.</li>
|
||
<li><a
|
||
href="https://www.amazon.com/Best-American-Infographics-2014/dp/0547974515">The
|
||
Best American Infographics 2014</a> by Gareth Cook.</li>
|
||
<li><a
|
||
href="https://www.amazon.com/Grammar-Graphics-Statistics-Computing/dp/0387245448/">The
|
||
Grammar of Graphics</a> by Leland Wilkinson. Basic visualization
|
||
theory.</li>
|
||
<li><a
|
||
href="https://www.amazon.com/Visual-Display-Quantitative-Information/dp/0961392142">The
|
||
Visual Display of Quantitative Information</a> by Edward Tufte.</li>
|
||
<li><a
|
||
href="https://www.amazon.com/Street-Journal-Guide-Information-Graphics/dp/0393347281">The
|
||
Wall Street Journal Guide to Information Graphics</a> by Dona M.
|
||
Wong</li>
|
||
<li><a
|
||
href="https://www.amazon.com/Visualization-Analysis-Design-AK-Peters/dp/1466508914">Visualization
|
||
Analysis and Design</a> by Tamara Munzner.</li>
|
||
<li><a
|
||
href="https://chimera.labs.oreilly.com/books/1230000000345">Interactive
|
||
Data Visualization for the Web</a> by Scott Murray. Available to read
|
||
online. Focused on D3.</li>
|
||
<li><a href="https://datavisualizationtoolkit.com">Data Visualization
|
||
Toolkit</a> by Barrett Austin Clark. Uses D3, Ruby on Rails, Postgres,
|
||
PostGIS, & Leaflet.</li>
|
||
<li><a
|
||
href="https://www.amazon.com/Data-Visualisation-Handbook-Driven-Design/dp/1526468921/">Data
|
||
Visualisation: A Handbook for Data Driven Design</a> by Andy Kirk</li>
|
||
</ul>
|
||
<h2 id="catalogs">Catalogs</h2>
|
||
<ul>
|
||
<li><a href="https://www.datavizcatalogue.com">The Data Visualization
|
||
Catalogue</a> - A collection of data visualization methods, with pros
|
||
and cons.</li>
|
||
<li><a href="https://datavizproject.com">Data Viz Project</a></li>
|
||
<li><a href="https://www.r-graph-gallery.com">The R Graph
|
||
Gallery</a></li>
|
||
<li><a href="https://www.data-to-viz.com">From data to Viz</a></li>
|
||
<li><a href="https://www.anychart.com/chartopedia">Chartopedia</a></li>
|
||
<li><a href="https://depictdatastudio.com/charts/">Interactive Chart
|
||
Chooser</a> by Depict Data Studio</li>
|
||
<li>Wikipedia
|
||
<ul>
|
||
<li><a
|
||
href="https://en.wikipedia.org/wiki/Data_visualization#Techniques">Data
|
||
visualization techniques</a></li>
|
||
<li><a
|
||
href="https://en.wikipedia.org/wiki/List_of_graphical_methods">List of
|
||
graphical methods</a></li>
|
||
<li><a
|
||
href="https://en.wikipedia.org/wiki/Diagram#Gallery_of_diagram_types">Types
|
||
of diagrams</a></li>
|
||
<li><a
|
||
href="https://en.wikipedia.org/wiki/Plot_(graphics)#Types_of_plots">Types
|
||
of plots</a></li>
|
||
<li><a href="https://en.wikipedia.org/wiki/Chart#Types">Types of
|
||
charts</a></li>
|
||
</ul></li>
|
||
</ul>
|
||
<h2 id="podcasts">Podcasts</h2>
|
||
<ul>
|
||
<li><a href="https://datastori.es/">Data Stories</a></li>
|
||
<li><a
|
||
href="https://www.datacamp.com/community/podcast">DataFramed</a></li>
|
||
<li><a href="https://dataviztoday.com/">Data Viz Today</a></li>
|
||
</ul>
|
||
<h2 id="twitter-accounts">Twitter accounts</h2>
|
||
<ul>
|
||
<li><a href="https://twitter.com/albertocairo">Alberto Cairo</a></li>
|
||
<li><a href="https://twitter.com/anvaka">Andrei Kashcha</a></li>
|
||
<li><a href="https://twitter.com/datavis">Benjamin Wiederkehr</a></li>
|
||
<li><a href="https://twitter.com/zakjan">Jan Žák</a></li>
|
||
<li><a href="https://twitter.com/dataandme">Mara Averick</a></li>
|
||
<li><a href="https://twitter.com/wattenberg">Martin Wattenberg</a></li>
|
||
<li><a href="https://twitter.com/mbostock">Mike Bostock</a></li>
|
||
<li><a href="https://twitter.com/NadiehBremer">Nadieh Bremer</a></li>
|
||
<li><a href="https://twitter.com/nytgraphics">NYT Graphics</a></li>
|
||
<li><a href="https://twitter.com/VisualizingOrg">Visualizing</a></li>
|
||
</ul>
|
||
<h2 id="websites">Websites</h2>
|
||
<ul>
|
||
<li><a href="https://dataforvisualization.com/">Data For
|
||
Visualization</a> blog - Storytelling with data from the software
|
||
developer’s eye</li>
|
||
<li><a href="https://annkemery.com/">Ann K. Emery</a>’s blog</li>
|
||
<li><a href="https://www.datavisualizationsociety.com/">Data
|
||
Visualization Society</a> - The Data Visualization Society is an
|
||
organization dedicated to fostering community for data visualization
|
||
professionals.</li>
|
||
<li><a href="https://eagereyes.org/">eagereyes</a></li>
|
||
<li><a href="https://stephanieevergreen.com/">EvergreenData</a></li>
|
||
<li><a href="https://flowingdata.com/">FlowingData</a></li>
|
||
<li><a href="https://www.informationisbeautiful.net/">Information is
|
||
Beautiful</a></li>
|
||
<li><a href="https://junkcharts.typepad.com/">Junk Charts</a> - Kaiser
|
||
Fung takes apart why certain datavizes work/don’t work</li>
|
||
<li><a href="https://lisacharlotterost.github.io/">Lisa Rost thinks and
|
||
discusses about why we dataviz</a></li>
|
||
<li><a href="https://www.makeovermonday.co.uk/">Makeover Monday</a> blog
|
||
- <a
|
||
href="https://twitter.com/search?q=%23makeovermonday">#MakeoverMonday</a>
|
||
on twitter</li>
|
||
<li><a href="https://source.opennews.org/articles/">The Open News</a>
|
||
blog - Open news has some good dataviz related articles from time to
|
||
time</li>
|
||
<li><a href="https://pudding.cool/">The Pudding</a></li>
|
||
<li><a href="https://truth-and-beauty.net/">Truth & Beauty
|
||
Operations</a></li>
|
||
<li><a href="https://idl.cs.washington.edu/papers">University of
|
||
Washington Interactive Data Lab Papers</a></li>
|
||
<li><a href="https://www.vis4.net/blog/">vis4.net</a> - Random thoughts
|
||
on visualization and data journalism by Gregor Aisch</li>
|
||
</ul>
|
||
<h1 id="contributing">Contributing</h1>
|
||
<ul>
|
||
<li>Please check for duplicates first.</li>
|
||
<li>Keep descriptions short, simple and unbiased.</li>
|
||
<li>Please make an individual commit for each suggestion</li>
|
||
<li>Add a new category if needed.</li>
|
||
</ul>
|
||
<p>Thanks for your suggestions!</p>
|
||
<h1 id="contributors">Contributors</h1>
|
||
<ul>
|
||
<li>Fabio Souto originally createad this repo, connect with Fabio at <a
|
||
href="https://fabiosouto.me/">fabiosouto.me</a>.</li>
|
||
<li><a href="https://github.com/javierluraschi">Javier Luraschi</a> is
|
||
the current maintainer, he builds predictive visualizations at <a
|
||
href="https://hal9.com">Hal9</a>.</li>
|
||
</ul>
|
||
<hr />
|
||
<p>If you have any question about this opinionated list, do not hesitate
|
||
to contact me <a href="https://twitter.com/javierluraschi"><span
|
||
class="citation" data-cites="javierluraschi">@javierluraschi</span></a>
|
||
on Twitter or <a
|
||
href="https://github.com/javierluraschi/awesome-dataviz/issues/new">open
|
||
a GitHub issue</a>.</p>
|
||
<p><a
|
||
href="https://github.com/javierluraschi/awesome-dataviz">dataviz.md
|
||
Github</a></p>
|