Open Source Java Data Visualization Software for Linux

Java Data Visualization Software for Linux

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

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  • 1
    HEALPix

    HEALPix

    Data Analysis, Simulations and Visualization on the Sphere

    Software for pixelization, hierarchical indexation, synthesis, analysis, and visualization of data on the sphere. Please acknowledge HEALPix by quoting the web page http://healpix.sourceforge.net (or https://healpix.sourceforge.io) and publication: K.M. Gorski et al., 2005, Ap.J., 622, p.759 Full software documentation available at https://healpix.sourceforge.io/documentation.php Wiki Pages: https://sourceforge.net/p/healpix/wiki/Home Exchanging Data with HEALPix (in FITS files): https://sourceforge.net/p/healpix/wiki/Exchanging%20Data%20with%20HEALPix/ GDL and FL users should read https://sourceforge.net/p/healpix/wiki/HEALPix%20and%20GDL/
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    Downloads: 346 This Week
    Last Update:
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  • 2
    cca-forum
    Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
    Downloads: 2 This Week
    Last Update:
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  • 3
    This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.
    Downloads: 2 This Week
    Last Update:
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  • 4
    Computational modelling is a interdisciplinary field spanning many techniques and programming languages. AgenTools is a project dedicated to establishing increased modularity in scientific computing packages and a portal linking to other existing project
    Downloads: 0 This Week
    Last Update:
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    Picsart Enterprise Background Removal API for Stunning eCommerce Visuals

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  • 5
    The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
    Downloads: 0 This Week
    Last Update:
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