Showing 4 open source projects for "low-code platform"

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  • 1
    Uranie

    Uranie

    Uranie is CEA's uncertainty analysis platform, based on ROOT

    ...It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is available both for Unix and Windows platforms (a dedicated platform archive is available on request). Note : if you have downloaded version 3.12 before the 8th of february, a patch exists for a minor bug on TOutputFileKey file, don't hesitate to ask us.
    Downloads: 4 This Week
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  • 2

    sequoia-dap

    SEQUOIA ocean data assimilation platform (a SIROCCO suite tool)

    ...Recent additions include extensions towards simultaneous assimilation and downscaling (AMICO project), and a toolbox for ensemble assessment (SCRUM project). *Please note that due to frequent updates the code is only available via the svn repository. Please get in touch with us to obtain access.*
    Downloads: 0 This Week
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  • 3

    OpenM++

    OpenM++: open source microsimulation platform

    IMPORTANT: ========== Our project home page: https://openmpp.org Our latest source code and release available at: https://github.com/openmpp/main/releases/latest Our documentation available at: https://github.com/openmpp/openmpp.github.io/wiki SourceForge files still exist for historical reason. OpenM++ is an open source microsimulation platform inspired by and compatible with Modgen. OpenM++, compared to its closed source predecessor Modgen, has advantages like portability, scalability and open source. ...
    Downloads: 0 This Week
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  • 4
    FrancescoMontorsi ScientificResearch

    FrancescoMontorsi ScientificResearch

    Scientific research work of Francesco Montorsi,Univ. of Modena, Italy

    This project hosts the code and the documents which were created by Francesco Montorsi during his PhD at the University of Modena and Reggio Emilia, Italy, about indoor and outdoor localization and navigation techniques. The code (mostly MATLAB code) is publicly available to enable reproducible research.
    Downloads: 0 This Week
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