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Showing 7 open source projects for "storage"

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    MongoDB Atlas runs apps anywhere

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  • 1
    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: 0 This Week
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  • 2
    JDF.jl

    JDF.jl

    Julia DataFrames serialization format

    JDF is a DataFrames serialization format with the following goals, fast save and load times, compressed storage on disk, enabled disk-based data manipulation (not yet achieved), and support for machine learning workloads, e.g. mini-batch, sampling (not yet achieved). JDF stores a DataFrame in a folder with each column stored as a separate file. There is also a metadata.jls file that stores metadata about the original DataFrame. Collectively, the column files, the metadata file, and the folder is called a JDF "file". ...
    Downloads: 3 This Week
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  • 3
    StaticArrays.jl

    StaticArrays.jl

    Statically sized arrays for Julia

    StaticArrays.jl is a Julia package that provides statically sized arrays with fast, stack-allocated memory storage and optimized performance for small array computations. It is particularly useful in numerical computing where small fixed-size matrices or vectors are used frequently, such as in robotics, physics simulations, or linear algebra. StaticArrays eliminate dynamic memory allocation overhead and enable compile-time optimizations for performance close to hand-written loops.
    Downloads: 5 This Week
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  • 4
    Roots.jl

    Roots.jl

    Root finding functions for Julia

    ...For functions where a bracketing interval is known (one where f(a) and f(b) have alternate signs), a bracketing method, like Bisection, can be specified. The default is Bisection, for most floating point number types, employed in a manner exploiting floating point storage conventions. For other number types (e.g. BigFloat), an algorithm of Alefeld, Potra, and Shi is used by default. These default methods are guaranteed to converge. Other bracketing methods are available.
    Downloads: 7 This Week
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  • ServiceDesk Plus, a world-class IT and enterprise service management platform Icon
    ServiceDesk Plus, a world-class IT and enterprise service management platform

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  • 5
    csv4students

    csv4students

    This repository is a data storage backup for my students.

    这个仓库是我为学生开设的一个数据存储备份,在没有本地数据的时候,这个数据备份是一个最好的选择. This repository is a data storage backup that I run for my students and is a great option when local data is not available.
    Downloads: 1 This Week
    Last Update:
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  • 6
    LightGraphs

    LightGraphs

    An optimized graphs package for the Julia programming language

    ...It is an explicit design decision that any data not required for graph manipulation (attributes and other information, for example) is expected to be stored outside of the graph structure itself. Such data lends itself to storage in more traditional and better-optimized mechanisms.
    Downloads: 0 This Week
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  • 7
    JuliaFEM.jl

    JuliaFEM.jl

    The JuliaFEM software library is a framework

    The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The basic design principle is: that everything is nonlinear. ...
    Downloads: 6 This Week
    Last Update:
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