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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...
Plotdrop is a minimal GNOME frontend to gnuplot
PlotDrop is designed for quick simple visualisation of 2D data series. It is not intended to encompass anywhere near the full capabilities of gnuplot.
Code can be found at: http://github.com/laserjock/plotdrop
Gnupylot is a GUI for gnuplot (the widely used multi-OS plotting utility). It's written in Python using PyQt4 libraries. With Gnupylot you can save your plots (even the datasets). It's still in Alpha stage.
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Simple tool to parse the contents of /proc or /sys entries and graph their values. An oscillosope for software types. Intended for developers, admins or the curious to understand the performance and behaviour of their systems.
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
We moved to
https://github.com/sueswe/pzgtools
Perl-Programs to extract information (and visualize them with gnuplot) from data-files from the PZG Particle Sampler from "rr-elektronik" (see http://www.rr-elektronik.de). Linux/KDE-version, GUI written in QT or Gambas. Win32-ver: pzg-tools.npage.de
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.
A KDE based Computer Algebra System (CAS) that can also be used as an advanced replacement for KCalc. It is essentially a front end GUI for Maxima (and is easily extended to other CAS back-ends) and Gnuplot.
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.