Skip to content
/ visisc Public
forked from STREAM3/visISC

A visualisation library for event data anaylised using the pyISC anomaly detection framework.

License

Notifications You must be signed in to change notification settings

sha0510/visisc

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

32 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

visisc

A visualisation library for event data analysed using the pyISC anomaly detection framework.

##Prerequisite

Install pyisc (including all prerequisites) : https://github.com/STREAM3/pyisc/

Notice, pyisc must be placed in the same folder as visisc so that visisc can find the source code. The pyisc folder must be named "pyisc".

Install Mayavi and wxPython (version 2.8.1 is preferred, otherwise if it does not exists as for Mac OS X choose 3.0)

Windows: >> conda install --channel https://conda.anaconda.org/krisvanneste wxpython==2.8.12

Other: >> conda install wxpython

All:

>> conda install mayavi

To undo the downgrading of the numpy libraries in previous step:

>> conda install numpy

##Installation >> git clone https://github.com/STREAM3/visisc

>> cd visisc

>> python setup.py install

##Run tutorial

>> cd docs

>> jupyter notebook visISC_tutorial.ipynb

If not opened automatically, click on visISC_tutorial.ipynb in the web page that was opened in a web browser.

About

A visualisation library for event data anaylised using the pyISC anomaly detection framework.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 84.1%
  • C++ 15.9%