/awesome-dataviz

Awesome dataviz

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

Contents

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

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

C++ tools

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

Twitter accounts

Websites

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

CC0

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