Showing 5 open source projects for "data science"

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  • 1
    OpenPEARL

    OpenPEARL

    PEARL Compiler and Runtime System

    PEARL is a high level procedural programming language, which was especially designed for the demanding need to have an expressive and comfortable language for solving multitasking problems when controlling technincal processes. PEARL is an abbreviation for "(P)rocess and (E)xperiment (A)utomation (R)ealtime (L)anguage". It was designed around 1975 at the IRT Institute of the Leibniz University in Hannover with the idea in mind to have an easy to learn programming language for realtime...
    Downloads: 1 This Week
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  • 2
    ALCHA

    ALCHA

    A New Programming Language for FPGA Projects

    ALCHA aims to reduce FPGA project develop time by means of automation and abstraction, but without loosing the low-level control that HDLs, such as Verilog, provides. It will support an object oriented programming model, abstract data and signal types, and compile-time scripting.
    Downloads: 0 This Week
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  • 3
    Ring

    Ring

    Simple and flexible programming language for applications development

    The Ring is a practical general-purpose multi-paradigm language. The supported programming paradigms are imperative, procedural, object-oriented, declarative using nested structures, functional, meta programming and natural programming. The language is portable (MS-DOS, Windows, Linux, macOS, Android, WebAssembly, Microcontrollers, etc.) and can be used to create Console, GUI, Web, Games and Mobile applications. The language is designed to be simple, small and flexible. Ring is...
    Downloads: 4 This Week
    Last Update:
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  • 4
    Tao3D

    Tao3D

    Tao3D is a programming language for real-time interactive 3D

    Tao3D is a programming language for real-time interactive 3D. It lets you easily create dynamic, interactive, data-rich presentations, small applications, user interface concepts, and more.
    Downloads: 1 This Week
    Last Update:
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  • 5
    PARUS

    PARUS

    Dataflow parallel programming language for clusters

    PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it.
    Downloads: 3 This Week
    Last Update:
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