Showing 4 open source projects for "want"

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  • 1
    Pipenv

    Pipenv

    Python Development Workflow for Humans

    Pipenv is a package manager that brings all the best of the packaging world together to the Python world. It's got everything you could need: bundler, composer, npm, cargo, yarn and more all in one convenient package so you can easily set up a working environment. Pipenv creates and manages a virtualenv automatically, and can add or remove packages from your Pipfile as you install/uninstall packages. It also produces the Pipfile.lock, which is essential for deterministic...
    Downloads: 4 This Week
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  • 2
    Spack

    Spack

    A flexible package manager that supports multiple versions

    ...Package files are written in pure Python, and specs allow package authors to write a single script for many different builds of the same package. With Spack, you can build your software all the ways you want to.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Faker for Python

    Faker for Python

    Python package that generates fake data for you

    Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you. Starting from version 4.0.0, Faker dropped support for Python 2 and from version 5.0.0 only supports Python 3.6 and above. If you still need Python 2 compatibility, please install version 3.0.1 in the meantime, and please consider updating...
    Downloads: 1 This Week
    Last Update:
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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 prototyping, teaching, or quickly exploring other people’s utilities without polluting your global site-packages. ...
    Downloads: 0 This Week
    Last Update:
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