The Plot.py project tries to supply a measurement data visualization and treatment framework being easy to use while keeping the freedom for advanced users to execute additional data treatment algorithms.
Plotting is done via gnuplot and the script used to produce the graphs can be exported for later use/changes.
Many raw experimental data types (mostly of x-ray and neutron scattering experiments) are supported with more to be added on user request.
The data treatment includes...
A simple GUI for gnuplot in Tcl/Tk. The main goal of this project is to help novice/lazy users to use datafile oriented operations of 2D plotting. BETA version is available in "Download" section. Feel free to post Bug/Request/Patch in the Tracker. GNUP
JGP is a GUI for gnuplot (http://www.gnuplot.info/).
It is made for all those who just love gnuplot but who found
that organizing a large number of datasets and plots from the command line is inconvenient.
JGP uses gnuplot as plotting engine.
Real-time data visualization. Graphically view your data as it's being generated. Peakster is a very intuitive GUI written entirely in Python, which monitors data at regular intervals and uses gnuplot to render 2D, 3D and superimposed plots.