PyGraphistry - 提取，转换和可视化浏览大graph的 Python 库

PyGraphistry是一个可视化图分析库，用于将提取大 Graph，转换和加载到Graphistry的基于云的图形浏览器中。 它支持非常大的Graph，用于交互式可视化。 客户端的自定义WebGL渲染引擎一次可呈现多达8MM的节点和边缘，大多数较旧的客户端GPU平滑地支持100K到1MM之间的元素。 服务器端OpenCL分析引擎支持更大的Graph。  <table> <tr valign="top"> <td width="33%" align="center"><a href="http://labs.graphistry.com/graph/graph.html?dataset=Twitter&info=true&play=3000&static=true&contentKey=Twitter_Github_Demo&center=false&menu=true&goLive=false&left=-1.92e+3&right=1.68e+3&top=-1.03e+3&bottom=985&usertag=github&legend={%22title%22:%22%3Ch3%3ECriminal%20Twitter%20Botnet%3C/h3%3E%22,%22subtitle%22:%22%3Cp%3EThe%20botnet%20(right%20layer),%20%20launders%20Twitter%20retweets%20through%20an%20indirection%20layer%20(middle)%20%20in%20order%20to%20build%20social%20rank%20for%20fraudsters%20(left).%20%20Twitter%27s%20core%20targeting%20algorithm%20then%20routes%20the%20artificially%20trending%20tweets%20%20to%20potential%20victims%20in%20the%20precise%20demographic%20of%20FIFA/Madden%20gamers.%3C/p%3E%20%3Cp%3EMany%20victims%20have%20been%20tricked%20into%20revealing%20their%20credit%20cards%20and%20passports.%3C/p%3E%22,%22nodes%22:%22Twitter%20accounts%22,%22edges%22:%22Follow%20relationship%22}" target="_blank">Twitter Botnet<br><img width="266" src="http://i.imgur.com/qm5MCqS.jpg"></a></td> <td width="33%" align="center">Edit Wars on Wikipedia<br><a href="http://i.imgur.com/074zFve.png" target="_blank"><img width="266" src="http://i.imgur.com/074zFve.png"></a><em>Source: <a href="http://snap.stanford.edu" target="_blank">SNAP</a></em></td> <td width="33%" align="center"><a href="https://labs.graphistry.com/graph/graph.html?dataset=bitC&static=true&play=20000" target="_blank">100,000 Bitcoin Transactions<br><img width="266" height="266" src="http://imgur.com/download/axIkjfd"></a></td> </tr> <tr valign="top"> <td width="33%" align="center">Port Scan Attack<br><a href="http://i.imgur.com/vKUDySw.png" target="_blank"><img width="266" src="http://i.imgur.com/vKUDySw.png"></a></td> <td width="33%" align="center"><a href="http://labs.graphistry.com/graph/graph.html?dataset=PyGraphistry/M9RL4PQFSF&usertag=github&info=true&static=true&contentKey=Biogrid_Github_Demo&play=3000&center=false&menu=true&goLive=false&left=-2.58e+4&right=4.35e+4&top=-1.72e+4&bottom=2.16e+4&legend={%22title%22:%22%3Ch3%3EBioGRID%20Repository%20of%20Protein%20Interactions%3C/h3%3E%22,%22subtitle%22:%22%3Cp%3EEach%20color%20represents%20an%20organism.%20Humans%20are%20in%20light%20blue.%3C/p%3E%22,%22nodes%22:%22Proteins/Genes%22,%22edges%22:%22Interactions%20reported%20in%20scientific%20publications%22}" target="_blank">Protein Interactions <br><img width="266" src="http://i.imgur.com/nrUHLFz.png" target="_blank"></a><em>Source: <a href="http://thebiogrid.org" target="_blank">BioGRID</a></em></td> <td width="33%" align="center"><a href="http://labs.graphistry.com/graph/graph.html?&dataset=PyGraphistry/PC7D53HHS5&info=true&static=true&contentKey=SocioPlt_Github_Demo&play=3000&center=false&menu=true&goLive=false&left=-236&right=265&top=-145&bottom=134&usertag=github&legend=%7B%22nodes%22%3A%20%22%3Cspan%20style%3D%5C%22color%3A%23a6cee3%3B%5C%22%3ELanguages%3C/span%3E%20/%20%3Cspan%20style%3D%5C%22color%3Argb%28106%2C%2061%2C%20154%29%3B%5C%22%3EStatements%3C/span%3E%22%2C%20%22edges%22%3A%20%22Strong%20Correlations%22%2C%20%22subtitle%22%3A%20%22%3Cp%3EFor%20more%20information%2C%20check%20out%20the%20%3Ca%20target%3D%5C%22_blank%5C%22%20href%3D%5C%22https%3A//lmeyerov.github.io/projects/socioplt/viz/index.html%5C%22%3ESocio-PLT%3C/a%3E%20project.%20Make%20your%20own%20visualizations%20with%20%3Ca%20target%3D%5C%22_blank%5C%22%20href%3D%5C%22https%3A//github.com/graphistry/pygraphistry%5C%22%3EPyGraphistry%3C/a%3E.%3C/p%3E%22%2C%20%22title%22%3A%20%22%3Ch3%3ECorrelation%20Between%20Statements%20about%20Programming%20Languages%3C/h3%3E%22%7D" target="_blank">Programming Languages<br><img width="266" src="http://i.imgur.com/0T0EKmD.png"></a><em>Source: <a href="http://lmeyerov.github.io/projects/socioplt/viz/index.html" target="_blank">Socio-PLT project</a></em></td> </tr> </table> 是不是很酷炫！！?