Showing 4 open source projects for "file analysis"

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  • 1
    Julia VS Code

    Julia VS Code

    Julia extension for Visual Studio Code

    ... analysis features of an IDE. VS Code is a powerful editor and customizable to your heart’s content (though the defaults are pretty good too). It has power features like multiple cursors, fuzzy file finding and Vim keybindings.
    Downloads: 1 This Week
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  • 2
    PowerSystems.jl

    PowerSystems.jl

    Data structures in Julia to enable power systems analysis

    The PowerSystems.jl package provides a rigorous data model using Julia structures to enable power systems analysis and modeling. In addition to stand-alone system analysis tools and data model building, the PowerSystems.jl package is used as the foundational data container for the PowerSimulations.jl and PowerSimulationsDynamics.jl packages. PowerSystems.jl supports a limited number of data file formats for parsing.
    Downloads: 0 This Week
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  • 3
    DynamicalSystems.jl

    DynamicalSystems.jl

    Award winning software library for nonlinear dynamics timeseries

    DynamicalSystems.jl is an award-winning Julia software library for nonlinear dynamics and nonlinear time series analysis. To install DynamicalSystems.jl, run import Pkg; Pkg.add("DynamicalSystems"). To learn how to use it and see its contents visit the documentation, which you can either find online or build locally by running the docs/make.jl file. DynamicalSystems.jl is part of JuliaDynamics, an organization dedicated to creating high-quality scientific software. All implemented algorithms...
    Downloads: 0 This Week
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  • 4
    RigidBodyDynamics.jl

    RigidBodyDynamics.jl

    Julia implementation of various rigid body dynamics

    RigidBodyDynamics.jl is a rigid body dynamics library in pure Julia. It aims to be user friendly and performant, but also generic in the sense that the algorithms can be called with inputs of any (suitable) scalar types. This means that if fast numeric dynamics evaluations are required, a user can supply Float64 or Float32 inputs. However, if symbolic quantities are desired for analysis purposes, they can be obtained by calling the algorithms with e.g. SymPy.Sym inputs. If gradients...
    Downloads: 0 This Week
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