[go: up one dir, main page]

Showing 5 open source projects for "scripts"

View related business solutions
  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
    Start Free
  • Securden Windows Privilege Manager Icon
    Securden Windows Privilege Manager

    For IT security teams

    Remove local administrator rights on Windows servers and endpoints. Seamlessly elevate applications for standard users. Grant time-limited rights on-demand. Control application usage by remote employees through whitelisting and blacklisting.
    Learn More
  • 1
    DrWatson.jl

    DrWatson.jl

    The perfect sidekick to your scientific inquiries

    ...It helps people manage their scientific projects (or any project for that matter). Specifically, it is a Julia package created to help people "deal" with their simulations, simulation parameters, where files are saved, experimental data, scripts, existing simulations, project source code, establishing reproducibility, and in general, their scientific projects. To install, simply type ] add DrWatson in your Julia session.
    Downloads: 6 This Week
    Last Update:
    See Project
  • 2
    ApproxFun.jl

    ApproxFun.jl

    Julia package for function approximation

    ...The documentation contains examples of usage, such as solving ordinary and partial differential equations. The ApproxFun Examples repo contains many examples of using this package, in Jupyter notebooks and Julia scripts. Note that this is independently maintained, so it might not always be in sync with the latest version of ApproxFun. We recommend checking the examples in the documentation first, as these will always be compatible with the latest version of the package.
    Downloads: 9 This Week
    Last Update:
    See Project
  • 3
    Oceananigans.jl

    Oceananigans.jl

    Julia software for fast, friendly, flexible fluid dynamics on CPUs

    Oceananigans is a fast, friendly, flexible software package for finite volume simulations of the nonhydrostatic and hydrostatic Boussinesq equations on CPUs and GPUs. It runs on GPUs (wow, fast!), though we believe Oceananigans makes the biggest waves with its ultra-flexible user interface that makes simple simulations easy, and complex, creative simulations possible.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 4
    PkgTemplates.jl

    PkgTemplates.jl

    Create new Julia packages, the easy way

    PkgTemplates.jl is a Julia package that automates the creation of new Julia packages by generating a project scaffold with common best practices. It helps users quickly set up reproducible project structures with Git integration, CI configuration, testing frameworks, documentation, and more. By using customizable templates, PkgTemplates streamlines package development and enforces consistency across Julia projects.
    Downloads: 3 This Week
    Last Update:
    See Project
  • Data Center Infrastructure Management Icon
    Data Center Infrastructure Management

    Fully utilize your assets. Lower data center costs. Prevent downtime.

    netTerrain DCIM is a Data Center Infrastructure Management (DCIM) software that helps organizations automate and simplify the management of its entire Data Center and IT infrastructure. This solution is used by organizations that need to manage environmental capacity with less effort (space, rack, data, and power), track their IT assets and inventory, and efficiently manage cabling.
    Try it Now
  • 5
    Stats With Julia Book

    Stats With Julia Book

    Collection of runnable Julia code examples for a statistics book

    StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics. The repository is designed for Julia users and provides ready-to-run examples that reinforce...
    Downloads: 3 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next