Showing 4 open source projects for "python programming language"

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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...
    Downloads: 9 This Week
    Last Update:
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  • 2
    Spack

    Spack

    A flexible package manager that supports multiple versions

    A flexible package manager supporting multiple versions, configurations, platforms, and compilers. Spack is a package manager for supercomputers, Linux, and macOS. It makes installing scientific software easy. Spack isn’t tied to a particular language; you can build a software stack in Python or R, link to libraries written in C, C++, or Fortran, and easily swap compilers or target specific microarchitectures. Spack offers a simple "spec" syntax that allows users to specify versions...
    Downloads: 4 This Week
    Last Update:
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  • 3
    toxic-repos

    toxic-repos

    We are against discrediting open source software

    toxic-repos is a tool that analyzes GitHub repositories to detect signs of hostile or problematic behavior in open-source communities. It helps developers and contributors identify repositories with negative engagement patterns.
    Downloads: 0 This Week
    Last Update:
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  • 4
    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
    Last Update:
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