Showing 7 open source projects for "rings-code"

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  • 1
    Conda

    Conda

    OS-agnostic, system-level binary package manager

    Conda is an open-source package management system and environment management system that runs on Windows, macOS, and Linux. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a...
    Downloads: 30 This Week
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  • 2
    attrs

    attrs

    Python Classes Without Boilerplate

    ...With attrs you can write correct and self-documenting code, and you'll find joy in writing classes again!
    Downloads: 0 This Week
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  • 3
    pipx

    pipx

    Install and run Python applications in isolated environments

    pipx is a tool to help you install and run end-user applications written in Python. It's roughly similar to macOS's brew, JavaScript's npx, and Linux's apt. It's closely related to pip. In fact, it uses pip, but is focused on installing and managing Python packages that can be run from the command line directly as applications. pip is a general-purpose package installer for both libraries and apps with no environment isolation. pipx is made specifically for application installation, as it...
    Downloads: 4 This Week
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  • 4
    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: 4 This Week
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    Vertex AI gives developers access to Gemini 3—Google’s most advanced reasoning and coding model—plus 200+ foundation models including Claude, Llama, and Gemma. Build generative AI apps with Vertex AI Studio, customize with fine-tuning, and deploy to production with enterprise-grade MLOps. New customers get $300 in free credits.
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  • 5
    FuseSoC

    FuseSoC

    Package manager and build abstraction tool for FPGA/ASIC development

    FuseSoC is a package manager and build abstraction tool for hardware description language (HDL) code, aimed at simplifying the development and reuse of IP cores. It provides a standardized way to describe, manage, and build hardware projects, facilitating collaboration and reducing duplication of effort in FPGA and ASIC development. ​
    Downloads: 0 This Week
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  • 6
    Alphafold

    Alphafold

    Open source code for AlphaFold

    ...This is a completely new model that was entered in CASP14 and published in Nature. For simplicity, we refer to this model as AlphaFold throughout the rest of this document. Any publication that discloses findings arising from using this source code or the model parameters should cite the AlphaFold paper. Please also refer to the Supplementary Information for a detailed description of the method. You can use a slightly simplified version of AlphaFold with this Colab notebook or community-supported versions. The total download size for the full databases is around 415 GB and the total size when unzipped is 2.2 TB. ...
    Downloads: 2 This Week
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  • 7
    Import from github_com

    Import from github_com

    Python module finder/loader from github, like in golang

    ...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. It also demonstrates how flexible Python’s import system is and can be used as a reference for custom importers. ...
    Downloads: 0 This Week
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