Showing 2676 open source projects for "linux management"

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  • 1
    PartitionedArrays.jl

    PartitionedArrays.jl

    Vectors and sparse matrices partitioned into pieces

    This package provides distributed (a.k.a. partitioned) vectors and sparse matrices in Julia. See the documentation for further details.
    Downloads: 2 This Week
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  • 2
    DataStructures.jl

    DataStructures.jl

    Julia implementation of Data structures

    Julia implementation of Data structures.
    Downloads: 2 This Week
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  • 3
    Distributions.jl

    Distributions.jl

    A Julia package for probability distributions and associated functions

    A Julia package for probability distributions and associated functions.
    Downloads: 2 This Week
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  • 4
    Scanopy

    Scanopy

    Clean network diagrams, One-time setup, zero upkeep

    Scanopy is a powerful multi-modal data capture and analysis toolkit that enables users to collect, process, and visualize structured and unstructured information from a variety of sources in a flexible pipeline. It is built to handle complex scanning tasks — such as OCR, document analysis, audio transcription, network data capture, and image extraction — while providing unified APIs and workflows that make managing heterogeneous data sources seamless. Developers can compose custom pipelines...
    Downloads: 11 This Week
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    Polyhedra

    Polyhedra

    Polyhedral Computation Interface

    Polyhedra provides an unified interface for Polyhedral Computation Libraries such as CDDLib.jl. This manipulation notably includes the transformation from (resp. to) an inequality representation of a polyhedron to (resp. from) its generator representation (convex hull of points + conic hull of rays) and projection/elimination of a variable with e.g. Fourier-Motzkin.
    Downloads: 4 This Week
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  • 6
    DiffEqBayes.jl

    DiffEqBayes.jl

    Extension functionality which uses Stan.jl, DynamicHMC.jl

    This repository is a set of extension functionality for estimating the parameters of differential equations using Bayesian methods. It allows the choice of using CmdStan.jl, Turing.jl, DynamicHMC.jl and ApproxBayes.jl to perform a Bayesian estimation of a differential equation problem specified via the DifferentialEquations.jl interface.
    Downloads: 2 This Week
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  • 7
    TensorCast.jl

    TensorCast.jl

    It slices, it dices, it splices

    This package lets you work with multi-dimensional arrays in index notation, by defining a few macros which translate this to broadcasting, permuting, and reducing operations.
    Downloads: 2 This Week
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  • 8
    AppleAccelerate.jl

    AppleAccelerate.jl

    Julia interface to the macOS Accelerate framework

    Julia interface to the macOS Accelerate framework. This provides a Julia interface to some of the macOS Accelerate frameworks. At the moment, this package provides access to Accelerate BLAS and LAPACK using the libblastrampoline framework, an interface to the array-oriented functions, which provide a vectorized form for many common mathematical functions. The performance is significantly better than using standard libm functions in some cases, though there does appear to be some reduced...
    Downloads: 6 This Week
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  • 9
    JLD2

    JLD2

    HDF5-compatible file format in pure Julia

    JLD2 saves and loads Julia data structures in a format comprising a subset of HDF5, without any dependency on the HDF5 C library. JLD2 is able to read most HDF5 files created by other HDF5 implementations supporting HDF5 File Format Specification Version 3.0 (i.e. libhdf5 1.10 or later) and similarly, those should be able to read the files that JLD2 produces. JLD2 provides read-only support for files created with the JLD package. The save and load functions, provided by FileIO, provide a...
    Downloads: 7 This Week
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  • 10
    XCharts

    XCharts

    A charting and data visualization library for Unity

    A charting and data visualization library for Unity. Unity data visualization chart plugin. A UGUIpowerful, easy-to-use, parameter-configurable data visualization chart plug-in. It supports ten built-in charts. A powerful, easy-to-use, configurable charting and data visualization library for Unity. Visual configuration of parameters, real-time preview of effects, and pure code drawing without additional resources. Support ten built-in charts such as line chart, column chart, pie chart, radar...
    Downloads: 8 This Week
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  • 11
    Matplotlib

    Matplotlib

    matplotlib: plotting with Python

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a...
    Downloads: 13 This Week
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  • 12
    OptimalTransport.jl

    OptimalTransport.jl

    Optimal transport algorithms for Julia

    This package provides some Julia implementations of algorithms for computational optimal transport, including the Earth-Mover's (Wasserstein) distance, Sinkhorn algorithm for entropically regularized optimal transport as well as some variants or extensions. Notably, OptimalTransport.jl provides GPU acceleration through CUDA.jl and NNlibCUDA.jl.
    Downloads: 3 This Week
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  • 13
    ProbNumDiffEq.jl

    ProbNumDiffEq.jl

    Probabilistic Numerical Differential Equation solvers via Bayesian fil

    ProbNumDiffEq.jl provides probabilistic numerical ODE solvers to the DifferentialEquations.jl ecosystem. The implemented ODE filters solve differential equations via Bayesian filtering and smoothing. The filters compute not just a single point estimate of the true solution, but a posterior distribution that contains an estimate of its numerical approximation error.
    Downloads: 3 This Week
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  • 14
    Gnuplot.jl

    Gnuplot.jl

    Julia interface to gnuplot

    Gnuplot.jl is a simple package able to send both data and commands from Julia to an underlying gnuplot process. Its main purpose it to provide a fast and powerful data visualization framework, using an extremely concise Julia syntax. It also has automatic display of plots in Jupyter, Juno and VS Code.
    Downloads: 3 This Week
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  • 15
    UMAP.jl

    UMAP.jl

    Uniform Manifold Approximation and Projection (UMAP) implementation

    A pure Julia implementation of the Uniform Manifold Approximation and Projection dimension reduction algorithm. The umap function takes two arguments, X (a column-major matrix of shape (n_features, n_samples)), n_components (the number of dimensions in the output embedding), and various keyword arguments.
    Downloads: 3 This Week
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  • 16
    CompatHelper.jl

    CompatHelper.jl

    Automatically update the [compat] entries for your Julia dependencies

    CompatHelper.jl is a Julia package which keeps your Project.toml [compat] entries up to date.
    Downloads: 3 This Week
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  • 17
    PowerSimulationsDynamics.jl

    PowerSimulationsDynamics.jl

    Julia package to run Dynamic Power System simulations

    PowerSimulationsDynamics.jl is a Julia package for power system modeling and simulation of Power Systems dynamics.
    Downloads: 3 This Week
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  • 18
    Krylov.jl

    Krylov.jl

    A Julia Basket of Hand-Picked Krylov Methods

    If you use Krylov.jl in your work, please cite it using the metadata given in CITATION.cff.
    Downloads: 3 This Week
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  • 19
    IntervalArithmetic.jl

    IntervalArithmetic.jl

    Library for validated numerics using interval arithmetic

    IntervalArithmetic.jl is a Julia package for validated numerics in Julia. All calculations are carried out using interval arithmetic where quantities are treated as intervals. The final result is a rigorous enclosure of the true value. We are working towards having the IntervalArithmetic library be conformant with the IEEE 1788-2015 Standard for Interval Arithmetic. To do so, we have incorporated tests from the ITF1788 test suite.
    Downloads: 5 This Week
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  • 20
    HiGHS.jl

    HiGHS.jl

    Julia wrapper for the HiGHS solver

    HiGHS.jl is a wrapper for the HiGHS solver.
    Downloads: 1 This Week
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  • 21
    ZMQ.jl

    ZMQ.jl

    Julia interface to ZMQ

    A Julia interface to ZeroMQ. ZMQ.jl is a Julia interface to ZeroMQ, The Intelligent Transport Layer.
    Downloads: 1 This Week
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  • 22
    Clustering.jl

    Clustering.jl

    A Julia package for data clustering

    Methods for data clustering and evaluation of clustering quality.
    Downloads: 1 This Week
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  • 23
    XState

    XState

    State machines and statecharts for the modern web

    JavaScript and TypeScript finite state machines and statecharts for the modern web. Statecharts are a formalism for modeling stateful, reactive systems. This is useful for declaratively describing the behavior of your application, from the individual components to the overall application logic. XState is a library for creating, interpreting, and executing finite state machines and statecharts, as well as managing invocations of those machines as actors. The following fundamental computer...
    Downloads: 2 This Week
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  • 24
    Rackula

    Rackula

    Drag and drop rack visualizer

    Rackula is a browser-based rack layout designer aimed at homelabbers, audio/video technicians, and equipment organizers who want a visual way to plan and document physical device racks. It runs entirely client-side with no backend server required, making it lightweight, fast, and easy to self-host or run locally without external dependencies. Users can drag and drop devices into customizable rack spaces, annotate equipment, set unit sizes, and manage complex layouts as their setup evolves....
    Downloads: 12 This Week
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  • 25
    VisPy

    VisPy

    Main repository for Vispy

    Vispy is an open-source, high-performance interactive visualization library in Python, designed for creating scientific visualizations and interactive plots. It leverages the power of modern Graphics Processing Units (GPUs) through OpenGL to render large datasets efficiently. Vispy supports a wide range of visualization types, including 2D plots, 3D visualizations, volume rendering, and more, making it suitable for scientific research, data analysis, and educational purposes.
    Downloads: 3 This Week
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