ZingChart lets you create HTML5 Canvas charts and more
07. Flot![](/d/file/news/Internet_of_things/technical/2017-07/2a6970eccf6dbb322421eb2f0a01b2b0.jpg)
Create animated visualisations with this jQuery plugin
08. Gephi![](/d/file/news/Internet_of_things/technical/2017-07/25abe2380e2bbf11485df72e577ff407.jpg)
Gephi in action. Coloured regions represent clusters of data that the system is guessing are similar
5. 基于其他语言实现的工具:
#PHP01. jpGraph![](/d/file/news/Internet_of_things/technical/2017-07/e97ad45b92bd052f478b4c99a70b7bf8.jpg)
jpGraph is a PHP-based data visualization tool
#JAVA
02. Processing![](/d/file/news/Internet_of_things/technical/2017-07/cf907cc38594ffd110de55cb9cf728a9.jpg)
Processing provides a cross-platform environment for creating images, animations, and interactions
#Python
03. NodeBox![](/d/file/news/Internet_of_things/technical/2017-07/709d5843a6541c08c8c198ac1f194d64.jpg)
NodeBox is a quick, easy way for Python-savvy developers to create 2D visualisations
#R
04. R![](/d/file/news/Internet_of_things/technical/2017-07/e0d6e51d0288ab58fd044bff7e3ce914.jpg)
A powerful free software environment for statistical computing and graphics, R is the most complex of the tools listed here
#Weka05. Weka![](/d/file/news/Internet_of_things/technical/2017-07/6bfbcf9fe756c295706895fcf1ba3b8c.jpg)
A collection of machine-learning algorithms for data-mining tasks, Weka is a powerful way to explore data
6. 地图数据可视化的工具:
01. CartoDB![](/d/file/news/Internet_of_things/technical/2017-07/ac8d2c3cc5015cac3f5ccb7ba5e9ef0f.jpg)
CartoDB provides an unparalleled way to combine maps and tabular data to create visualisations
02. InstantAtlas![](/d/file/news/Internet_of_things/technical/2017-07/497a3c5f915b9e08286bc059724bcdf3.jpg)
InstantAtlas enables you to create highly engaging visualisations around map data
03. Polymaps![](/d/file/news/Internet_of_things/technical/2017-07/2939bf5618371c52e835abf41ad12796.jpg)
Aimed more at specialist data visualisers, the Polymaps library creates image and vector-tiled maps using SVG
04. OpenLayers![](/d/file/news/Internet_of_things/technical/2017-07/f2af093f8de81aa4545d7390d11c0fa3.jpg)
It isn't easy to master, but OpenLayers is arguably the most complete, robust mapping solution discussed here
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