Showing 29 open source projects for "mac on windows"

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  • 1
    DC/OS

    DC/OS

    DC/OS - The Datacenter Operating System

    DC/OS (Datacenter Operating System) is an open-source distributed operating system based on the Apache Mesos kernel. It abstracts a cluster of machines into a single logical computer, simplifying the deployment and management of containerized applications and services. DC/OS provides a comprehensive platform for running modern applications with features like container orchestration, service discovery, and scalability.​
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  • 2
    Poet

    Poet

    Poet helps you declare, manage and install dependencies of Python

    poet is a tool for managing dependencies, building, and packaging Python projects using a single configuration file, poetry.toml. It simplifies Python project management by consolidating various configuration files into one, making it easier to declare dependencies and package information. Note that poet has been deprecated in favor of Poetry, which offers more comprehensive features and support.​
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  • 3
    Django-bower

    Django-bower

    Easy way to use bower with your django project

    django-bower is a Django app that lets you manage your front-end dependencies using Bower right from your Django project. Instead of manually dropping JavaScript and CSS libraries into your static folders, you declare them as Bower packages and let the app install them to a known location. It then provides Django settings and template tags to point STATICFILES_DIRS or STATIC_ROOT to those installed components. This keeps the back-end and front-end dependency story unified, versioned, and...
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  • 4
    Import from github_com

    Import from github_com

    Python module finder/loader from github, like in golang

    import_from_github_com is a playful yet practical experiment that lets you import Python modules directly from GitHub using an import-like mechanism. The idea is to remove the friction of “clone → install → import” when you just want to try out a single file or small repo. It hooks into Python’s import machinery so that when you reference a GitHub path, it fetches the code, stores it locally (often with caching), and makes it importable in the current environment. This is helpful for...
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