A curated list of awesome data visualizations frameworks, libraries and software. Inspired by awesome-python.

• Awesome dataviz
  • JavaScript tools
    • Charting libraries
    • Charting libraries for graphs
    • Maps
    • d3
    • dc.js
    • Misc
  • Android tools
  • Golang tools
  • iOS tools
  • Python tools
  • Ruby tools
  • Other tools
  • Data visualization books
  • Contributing

• C3 - C3 is a D3-based chart library.
• Chart.js - Charts with the canvas tag.
• Charted - A charting tool that produces automatic, shareable charts from any data file.
• Chartist.js - Responsive charts with great browser compatibility.
• Dimple - An object-oriented API for business analytics.
• Dygraphs - Interactive line charts library that works with huge data sets.
• Echarts - Enterprise Charts by Baidu.
• Epoch - Perfect to create real-time charts.
• Highcharts - Highcharts is a JavaScript charting library based on SVG and VML rendering. Free (CC BY-NC) for non-profit projects.
• MetricsGraphics.js - Optimized for time-series data.
• Morris.js - Pretty time-series line graphs.
• NVD3 - A reusable charting library written in d3.js.
• Peity - A library to create small inline svg charts.
• TechanJS - Stock and financial charts.

• Cola.js - A tool to create diagrams using constraint-based optimization techniques. Works with d3 and svg.js.
• Linkurious - A toolkit to speed up the development of graph visualization and interaction applications. Based on Sigma.js.
• Sigma.js - JavaScript library dedicated to graph drawing.
• VivaGraph - Graph drawing library for JavaScript.

• CartoDB - CartoDB is an open source tool that allows for the storage and visualization of geospatial data on the web.
• Cesium - WebGL virtual globe and map engine.
• Leaflet - JavaScript library for mobile-friendly interactive maps.
• Leaflet Data Visualization Framework - A framework designed to simplify data visualization and thematic mapping using Leaflet.
• Mapsense.js - Combines d3.js with tile maps.
• Modest Maps - BSD-licensed display and interaction library for tile-based maps in Javascript.

• See Awesome D3.

dc.js is an multi-Dimensional charting built to work natively with crossfilter.

• angular-dc - AngularJS directives for dc.js.
• dc.leaflet.js - dc.js charts using Leaflet maps.
• ember-dc - Ember Component Wrappers for dc.js.

• Chroma.js - A small library for color manipulation.
• Piecon - Pie charts in your favicon.
• Recline.js - Simple but powerful library for building data applications in pure JavaScript and HTML.
• Textures.js - A library to create SVG patterns.
• Timeline.js - Create interactive timelines.
• Vega - Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs.

• HelloCharts - Charting library for Android compatible with API 8+.
• MPAndroidChart - A powerful & easy to use chart library.

• Charts for Go - Basic charts in Go. Can render to ASCII, SVG and images.
• svgo - Go Language Library for SVG generation.

• JBChartView - Charting library for both line and bar graphs.
• PNChart - A simple and beautiful chart lib used in Piner and CoinsMan.
• ios-charts - iOS port of MPAndroidChart. You can create charts for both platforms with very similar code.

• bokeh - Interactive Web Plotting for Python.
• matplotlib - A python 2D plotting library.
• pygal - A dynamic SVG charting library.
• seaborn - A library for making attractive and informative statistical graphics.
• toyplot - The kid-sized plotting toolkit for Python with grownup-sized goals.

• Chartkick - Create beautiful JavaScript charts with one line of Ruby.

Tools that are not tied to a particular platform or language.

• Lightning - A data-visualization server providing API-based access to reproducible, web-based, interactive visualizations.
• RAW - Create web visualizations from CSV or Excel files.
• Spark - Sparklines for the shell. It have several implementations in different languages.
• Periscope - Create charts directly from SQL queries.

• Design for Information by Isabel Meirelles
• The Visual Display of Quantitative Information by Edward Tufte

• Please check for duplicates first.
• Keep descriptions short, simple and unbiased.
• Please make an individual commit for each suggestion
• Add a new category if needed.

Thanks for your suggestions!

To the extent possible under law, Fabio Souto has waived all copyright and related or neighboring rights to this work.