Awesome Data Viz - Curated List of Data Viz Frameworks, Libraries, Software

Guest blog by Fabio Souto

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

Table of contents

JavaScript tools

Charting libraries

  • C3 - a D3-based reusable 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 datasets.
  • Echarts - Highly customizable and interactive charts ready for big datasets.
  • Epoch - Perfect to create real-time charts.
  • Highcharts - A 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.

Charting libraries for graphs

  • Cola.js - A tool to create diagrams using constraint-based optimization techniques. Works with d3 and svg.js.
  • Cytoscape.js - JavaScript library for graph drawing maintained by Cytoscape core developers.
  • 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.



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


  • 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.
  • Vis.js - A dynamic visualization library including timeline, networks and graphs (2D and 3D).

Android tools

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

C++ tools

Golang tools

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

iOS tools

  • 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.

Python tools

  • 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.

R tools

  • ggplot2 - A plotting system based on the grammar of graphics.
  • rbokeh - R Interface to Bokeh.
  • rgl - 3D Visualization Using OpenGL

Ruby tools

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

Other tools

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.



Twitter accounts



  • 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.

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Tags: data visualization


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Comment by Gauav Jain on July 5, 2017 at 4:52pm

A free tool that I use for R data science visualization is Displayr.  I can also create machine learning visualizations like a correspondence analysis and max diff. Check it out https://www.displayr.com/

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