Open Source Python Data Visualization Software for Linux

Python Data Visualization Software for Linux

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Browse free open source Python Data Visualization Software for Linux and projects below. Use the toggles on the left to filter open source Python Data Visualization Software for Linux by OS, license, language, programming language, and project status.

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  • 1
    SZARP is a full-featured, open source (GPL) SCADA system for Linux. Client programs are available for Linux and Windows.
    Downloads: 1 This Week
    Last Update:
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  • 2
    An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.
    Downloads: 0 This Week
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  • 3
    Network Visualization is a mature part of computer science that is enjoying a good deal of growth, partially fueled by Bioinformatics. Network is a synonym for Graph, and both refer to a collection of nodes and edges.
    Downloads: 0 This Week
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  • 4
    ProcessViewBrowser & ProcessViewServer represent an OpenSource attempt to industrial process visualization. It is based on Qt and is very portable. (Now also available as commercial software)
    Downloads: 0 This Week
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  • 5
    Robotic Manipulator Development and Simulation Environment in Python and Blender. IMPORTANT: Development moved to github. http://github.com/ajnsit/r2d3
    Downloads: 0 This Week
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  • 6
    The VR Juggler Toolbox is a collection of libraries and tools for use with VR Juggler applications.
    Downloads: 0 This Week
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  • 7
    This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.
    Downloads: 0 This Week
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  • 8
    icramcode
    This is the public icram.de code repository filled with code/code-snippets and other useful stuff.
    Downloads: 0 This Week
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  • 9
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. For obtaining a zip file of the current state use: https://github.com/pyspace/pyspace/archive/master.zip
    Downloads: 0 This Week
    Last Update:
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