Tools

A list of visualisation tools.

Data Visualisation

• Python Libraries
  • Matplotlib [https://matplotlib.org/]
  • Plotly [https://plotly.com/]
  • Seaborn [https://seaborn.pydata.org/]
  • GGPlot [https://ggplot2.tidyverse.org/index.html]
  • Altair [https://altair-viz.github.io/]
  • Bokeh [https://bokeh.org/]
  • Pygal [https://www.pygal.org/en/stable/]
  • Geoplotlib [https://github.com/andrea-cuttone/geoplotlib]
• Javascript Libraries
  • FusionCharts [https://www.fusioncharts.com/] (free for non-commercial)
  • D3.js [https://d3js.org/] (really cool examples! free with paid notebooks: https://observablehq.com/)
  • HighCharts [https://www.highcharts.com/] (free for non-commercial)
  • TauCharts [https://taucharts.com/]
  • Chartkick [https://chartkick.com/vue]

Abstract Animations

• Javascript Libraries
  • Anime.js [https://animejs.com/] (cool animations!)

Abstract Interactive Visualisation

• Javascript Libraries
  • Pts.js [https://ptsjs.org/] (linear algebra, geometry...)
  • Two.js [https://two.js.org/] (2D geometry...)
  • Three.js [https://threejs.org/] (3D geometry..., also supports webgl)
  • Recharts [https://recharts.org/en-US/] (easy to use for react)
  • Pixi.js [https://pixijs.com/] (webgl 2D super fast!)

Static Interactive

• You can rotate them and move them, but that's all the interactiveness

• Javascript Libraries
  • ZDog [https://zzz.dog/]