Showing 4 open source projects for "cross platform"

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  • 1
    BinaryBuilder

    BinaryBuilder

    Binary Dependency Builder for Julia

    ...To that end, BinaryBuilder is designed from the ground up to facilitate the building of packages within an easily reproducible and reliable Linux environment, ensuring that the built libraries and executables are deployable to every platform that Julia itself will run on. Packages are cross-compiled using a sequence of shell commands, packaged up inside tarballs, and hosted online for all to enjoy. Package installation is merely downloading, verifying package integrity and extracting that tarball on the user's computer. No more compiling on user's machines. No more struggling with system package managers. ...
    Downloads: 8 This Week
    Last Update:
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  • 2
    Conda.jl

    Conda.jl

    https://github.com/JuliaPy/Conda.jl

    This package allows one to use conda as a cross-platform binary provider for Julia for other Julia packages, especially to install binaries that have complicated dependencies like Python. conda is a package manager that started as the binary package manager for the Anaconda Python distribution, but it also provides arbitrary packages. Instead of the full Anaconda distribution, Conda.jl uses the miniconda Python environment, which only includes conda and its dependencies.
    Downloads: 7 This Week
    Last Update:
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  • 3
    LabPlot

    LabPlot

    Data Visualization and Analysis

    LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
    Downloads: 22 This Week
    Last Update:
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  • 4
    JLD.jl

    JLD.jl

    Saving and loading julia variables while preserving native types

    JLD, for which files conventionally have the extension .jld, is a widely used format for data storage with the Julia programming language. JLD is a specific "dialect" of HDF5, a cross-platform, multi-language data storage format most frequently used for scientific data. By comparison with "plain" HDF5, JLD files automatically add attributes and naming conventions to preserve type information for each object. For lossless storage of arbitrary Julia objects, the only other complete solution appears to be Julia's serializer, which can be accessed via the serialize and deserialize commands. ...
    Downloads: 5 This Week
    Last Update:
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