Courses & TutorialsProgramming

Awesome Data Visualization – Massive Collection of Resources

Spread the love
A curated list of awesome open-source data visualizations frameworks, libraries and software. Inspired by awesome-python.


JavaScript tools

Charting libraries

  • ApexCharts – Modern & Interactive SVG Charts.
  • 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.
  • Plotly.js – Powerful declarative library with support for 20 chart types.
  • TechanJS – Stock and financial charts.
  • TOAST UI Chart – Complete library with support for legacy browsers.

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.


  • 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.
  • – WebGL framework for visual exploratory data analysis of large datasets.
  • DataMaps – Interactive SVG maps using D3.js.
  • Leaflet – JavaScript library for mobile-friendly interactive maps.
  • Mapael – jQuery plugin based on raphael.js to display vector maps.



  • BizCharts – Alibaba data visualization library based on G2 and React. English docs
  • React-vis – React components to build data visualizations.
  • Recharts – Declarative react components to render D3 charts.
  • Victory – Composable components for building interactive data visualizations
  • nivo – Supercharged dataviz components for React with isomorphic ability, demo.
  • React Svg Textures – Textures.js ported to React. Fully isomorphic.
  • DevExtreme React Chart – High-performance plugin-based React chart for Bootstrap and Material Design.


  • 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

Excel 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.
  • Chartify – Bokeh wrapper that makes it easy for data scientists to create charts.
  • 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.
  • mayai – interactive scientific data visualization and 3D plotting in Python.
  • 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
  • PyQtGraph – Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
  • PyVista – 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
  • seaborn – A library for making attractive and informative statistical graphics.
  • toyplot – The kid-sized plotting toolkit for Python with grownup-sized goals.
  • – Easy to use 3D library based on PyOpenGL. Inspired by Three.js.
  • veusz – Python multiplatform GUI plotting tool and graphing library
  • VisPy – High-performance scientific visualization based on OpenGL.
  • vtk – 3D computer graphics, image processing, and visualization that includes a Python interface.

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.

Markup-based tools

  • mermaidjs – A simple markdown-like script language for generating charts from text via javascript
  • – A hack to put Graphviz on the web
  • – Draws your Timing Diagram or Waveform from simple textual description

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
  • – Geospatial analysis tool for large-scale data sets.
  • 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.




Twitter accounts


Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button