Showing 4 open source projects for "programming without coding"

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  • 1
    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: 8,237 This Week
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  • 2
    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: 0 This Week
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  • 3
    GeoSignature
    !!! Project servers were closed in the beginning of 2012 because the project was not actual anymore (massivity using Android and iOS devices instead of "simple" mobile phones). But source codes are always available as usual !!! A simple mobile j2me/web application that provides positioning of mobile devices connected to GSM/UMTS network or via GPS and lets you share location info by SMS or email. This project also contains GeoSignature Server j2ee application.
    Downloads: 0 This Week
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  • 4
    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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