tu-cao/awesome-dataviz

:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

Awesome dataviz

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

Contents

• Awesome dataviz
  • JavaScript tools
    • Charting libraries
    • Charting libraries for graphs
    • Maps
    • d3
    • React
    • Misc
  • Android tools
  • C++ tools
  • Golang tools
  • iOS tools
  • Python tools
  • R tools
  • Ruby tools
  • Other tools
• Resources
  • Books
  • Twitter accounts
  • Websites
• Contributing
• License

JavaScript tools

Charting libraries

• Chart.js - Charts with the canvas tag.
• Chartist.js - Responsive charts with great browser compatibility.
• dc.js is an multi-Dimensional charting built to work natively with crossfilter.
• 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. React wrapper
• Epoch - Perfect to create real-time charts.
• MetricsGraphics.js - Optimized for time-series data.
• NVD3 - A reusable charting library written in d3.js.
• Peity - Create small inline svg charts.
• Plotly.js - Powerful declarative library with support for 20 chart types.
• 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.
• Sigma.js - JavaScript library dedicated to graph drawing.
• VivaGraph - Graph drawing library for JavaScript.

Maps

• CARTO - CARTO is an open source tool that allows for the storage and visualization of geospatial data on the web.
• Cesium - WebGL 3D globes and maps.
• DataMaps - Interactive SVG maps using D3.js.
• Leaflet - JavaScript library for mobile-friendly interactive maps.
• Leaflet Data Visualization Framework - A framework designed to simplify data visualization and thematic mapping using Leaflet.
• Mapael - jQuery plugin based on the.js to display vector maps.

d3

• See Awesome D3

React

• React-vis - React components to build data visualizations.
• Recharts - Declarative react components to render D3 charts.
• Victory - Composable components for building interactive data visualizations

Misc

• Chroma.js - A small library for color manipulation.
• Piecon - Pie charts in your favicon.
• 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

• DecoView - Animated circular wheel chart library.
• MPAndroidChart - A powerful & easy to use chart library.
• WilliamChart - Simple chart library.

C++ tools

• LargeVis - implementation of the LargeVis paper, used to visualize large-scale and high-dimensional data.
• PlotJuggler - open-source Qt5 application to plot charts (based on Qwt).
• Visualization Toolkit (VTK) - open-source library for 3d Graphics, image processing and visualization.

Golang tools

• svgo - Go Language Library for SVG generation.

iOS tools

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

Python tools

• altair - Declarative statistical visualizations, based on Vega-lite.
• bokeh - Interactive Web Plotting for Python.
• diagram - Text mode diagrams using UTF-8 characters
• ggplot - plotting system based on R's ggplot2.
• glumpy - OpenGL scientific visualizations library.
• holoviews - Complex and declarative visualizations from annotated data.
• matplotlib - 2D plotting library.
• missingno - provides flexible toolset of data-visualization utilities that allows quick visual summary of the completeness of your dataset, based on matplotlib.
• plotly - Interactive web based visualization built on top of plotly.js
• pygal - A dynamic SVG charting library.
• PyQtGraph - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
• seaborn - A library for making attractive and informative statistical graphics.
• toyplot - The kid-sized plotting toolkit for Python with grownup-sized goals.
• VisPy - High-performance scientific visualization based on OpenGL.

R tools

• ggplot2 - A plotting system based on the grammar of graphics.
• ggvis - A data visualization package with a syntax similar to ggplot2 which allows you to create rich interactive graphics.
• lattice - trellis graphics for R
• plotly - Interactive charts (including adding interactivity to ggplot2 output), cartograms and simple network diagrams
• rbokeh - R Interface to Bokeh.
• rgl - 3D Visualization Using OpenGL
• shiny - Framework for creating interactive applications/visualisations
• visNetwork - Interactive network visualisations

Ruby tools

• Chartkick - Create charts with one line of Ruby.

Other tools

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

• Charted - A charting tool that produces automatic, shareable charts from any data file.
• Circos - Visualizes data in a circular layout, ideal for exploring relationships between objects or positions. Mirror on github.
• Gephi - An open-source platform for visualizing and manipulating large graphs
• 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.
• Superset - A data exploration platform designed to be visual, intuitive, and interactive

Resources

Books

• Design for Information by Isabel Meirelles.
• The Best American Infographics 2014 by Gareth Cook.
• The Visual Display of Quantitative Information by Edward Tufte.
• The Wall Street Journal Guide to Information Graphics by Dona M. Wong
• Visualization Analysis and Design by Tamara Munzner.
• Interactive Data Visualization for the Web by Scott Murray. Available to read online. Focused on D3.

Twitter accounts

• Alberto Cairo
• Benjamin Wiederkehr
• Martin Wattenberg
• Mike Bostock
• Nadieh Bremer
• NYT Graphics
• Visualizing

Websites

• FlowingData
• Gnuplotting - Gnuplot tutorials
• Information is Beautiful
• The Data Visualization Catalogue - A collection of data visualization methods, with pros and cons.
• Visual Complexity - A site about the visualization of complex networks.

Contributing

• 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!

License

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