Showing 6 open source projects for "gnuplot for windows"

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  • 1
    QuickPlot

    QuickPlot

    Simple user interface for gnuplot aimed for reflectometry data

    Graphical user interface for gnuplot to create publication quality figure very quickly. It supports templates for fast formatting of graphics, different plot styles, insets, axis and label options. One important feature is storing metadata in png and pdf files that can be used to reload any graph saved with QuickPlot.
    Downloads: 0 This Week
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  • 2

    CollectD-CSV Plotter

    Web interface for visualizing CSV data from CollectD monitoring system

    CollectD-CSV Plotter is a web interface for fetching and visualizing data that is saved in CollectD CSV format. An HTML form is used for defining the time interval and choosing the wanted measurements. The plotter is actually a front-end for collectd-csv module (http://pypi.python.org/pypi/collectd-csv/), which it uses for fetching the data. Technologies CollectD-CSV Plotter uses include CGI/Python, HTML5/JavaScript, jQuery, jQuery-UI and Gnuplot.
    Downloads: 0 This Week
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  • 3
    A Python interface to the gnuplot plotting program.
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    Downloads: 15 This Week
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  • 4

    InkPlot

    Inkscape extension to add and edit GNUplot graphs

    InkPlot is an extension (plugin) for the SVG Editor Inkscape to insert graphs from Gnuplot. It allows you to - preview the graph - add it as SVG into Inkscape - edit already generated graphs - use a preamble file for reusable style and commands - customize default settings in a config file
    Downloads: 6 This Week
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  • 5
    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.
    Downloads: 0 This Week
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  • 6
    MatPy is a Python package for numerical linear algebra and plotting with a MatLab-like interface. It currently consists of wrappers around Numeric and Gnuplot packages, but eventually may be implemented directly in C/C++, or as interface to Octave.
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    Downloads: 0 This Week
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