Showing 36 open source projects for "google-visualization-python"

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  • 1
    FrAid(FRactal AID) is an interface to Java, allowing it to proc. math. data(functions/equations). A compl. standalone system utilizing the FrAid prog. lang. is available(no need to be Java programmer to use it!). Use instead of Matlab. High res. graphics
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  • 2
    CASIMIR is a web-based PHP/MySQL interface which controls over SSH-secured connexions qemu/kvm virtual machines dispatched over several physical servers. It also provides to administrators the ability to delegate control of these machines to other users.
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  • 3
    WikiVis is a tool to analyze Wikipedia based on several aspects. The main objective is to visualize the conclusions of this examination, which focusses on the editing frequency and relevance of articles and categories as well as the activity of users.
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  • 4
    CDS plots and analyzes output from numerical climate models. It is capable of comparing climate model simulations and/or observational data. It consists mostly of a series of MathWorks Matlab language scripts and reads data in NetCDF format.
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  • 5
    Very basic RRDtool tutorial. It is an example in that way. It can save you a couple of days of discovering on your own. In any case you have to read the manual _before_ that ;)
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  • 6
    A tool for making enhanced typesetting in xfig easy. It is using latex for setting the text.
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  • 7
    Produce a PostScript representation of a project's source code.
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  • 8
    StateVis is a package that allows states (or groups) to create a browsable database of their Landsat holdings.
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  • 9
    idyuts is \"I Dare You to Use This Shell\"; a pre-hibernate approach to replacing an ORM written with jython functors into a pure-Java language command pattern. The \"pipeline codegen artifacts\" are simple IoC templates, and trivial to adapt
    Downloads: 0 This Week
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  • 10
    Satellite Prediction Server and Clients
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  • 11
    Conic Planet is a CGI application which renders a photo-realistic real-time image of the Earth and other planets. It has support for Azimuthal, Mercator, Mollweide, Orthographic, and Rectangular projections. It also shows the current cloud covering.
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