envd (ɪnˈvdɪ
) is a command-line tool that helps you create the container-based development environment for AI/ML.
Development environments are full of python and system dependencies, CUDA, BASH scripts, Dockerfiles, SSH configurations, Kubernetes YAMLs, and many other clunky things that are always breaking. envd is to solve the problem:
build.envd
envd up
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Plenty of raw information should be available here, the actual vcpkg repo: https://github.com/microsoft/vcpkg. Source: about 1 year ago
Actually, there is: C++ Library Manager for Windows, Linux, and MacOS. Source: over 1 year ago
The installation is described in the readme of vcpkg on github and is straightforward: clone the project, execute the installation script and you are ready to go! - Source: dev.to / over 1 year ago
You didn't ask about this, but I think its worth mentioning Conan and vcpkg. Of the two I have found vcpkg easier to work with, but both can be good solutions. Combining one of these package managers with CMake presets can make getting a project setup on a new machine almost trivial (great for CI or onboarding new devs). Source: over 1 year ago
Over the past few weeks, I have been working on a new vcpkg online explorer: https://vcpkg.link. Source: over 1 year ago
pip - The PyPA recommended tool for installing Python packages.
Conan - Conan is an Action-Adventure, Hack and Slash and Single-player video game developed by Nihilistic Software and published by THQ.
pipenv - Python Development Workflow for Humans. Contribute to pypa/pipenv development by creating an account on GitHub.
Conda - Binary package manager with support for environments.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Chocolatey - The sane way to manage software on Windows.