• PyQt4
• numpy
• objectsharer :: proxying of python objects across the network
• dataserver :: shareable h5py files
• pyqtgraph :: Native Python Qt plotting library

Run dataserver

python dataserver/dataserver.py 

or

from dataserver import run_dataserver run_dataserver() 

Run gui

python H5Plot/window.py 

or

 from H5Plot import run_plotwindow run_plotwindow() 

Send Data to DataServer

from dataserver import get_file f = get_file('test.h5') f['dataset'] = [1,3,2,4] 

If you don't want to create new files every time you run, consider the timestamp feature, which will create a new group inside the file, and return that instead

f = get_file('test.h5', timestamp_group=True) f['dataset'] = [1,3,2,4]