Showing 6 open source projects for "linux programming"

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    SAGA GIS
    SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting...
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    Downloads: 7,836 This Week
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  • 2
    Geo Arbores
    Geo Arbores is a project for developing tools and extensions for the GIS software OpenJUMP
    Downloads: 0 This Week
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  • 3
    GISBox by Citiviz

    GISBox by Citiviz

    Ready-to-use appliance for GIS, Data Mining and Analysis, Modelling...

    GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software (https://www.virtualbox.org/) on your Linux, Windows or Mac computer. ...
    Downloads: 2 This Week
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  • 4
    OpenGPSX Lazarus Component
    OpenGPSX Lazarus Component for GPS Interface programming. Decode NMEA messages, Display GPS skyplot view, Display GPS signal strength, Display target navigation.
    Downloads: 0 This Week
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  • 5
    OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.
    Downloads: 0 This Week
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  • 6
    pRPL is a general-purpose parallel Raster Processing C++ programming Library. It enables the implementation of parallel raster-based algorithms without requiring a deep understanding of parallel computing, and greatly reduces the development complexity.
    Downloads: 0 This Week
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