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Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name. pip has a feature to manage full lists of packages and corresponding version numbers, possible through a "requirements" file. [14]
ProGet currently supports a growing list of package managers, including NuGet, Chocolatey, Bower, npm, Maven, PowerShell, RubyGems, Helm for Kubernetes, Debian, Python, and Visual Studio Extensions (.vsix). ProGet also supports Docker containers, Jenkins build artifacts (through a plugin) and vulnerability scanning.
Yarn can install packages from local cache. [8] Yarn binds versions of the package strongly. Yarn uses checksum for ensuring data integrity, while npm uses SHA-512 to check data integrity of the packages downloaded. [9] Yarn installs packages in parallel, while npm installs one package at a time.
pip: a package manager for Python and the PyPI programming library; RubyGems: a package manager and repository for Ruby; sbt: a build tool for Scala, uses Ivy for dependency management; yarn: an alternative to npm for Node.js and JavaScript;
npm, Inc., a software development and hosting company based in California, United States NPM/CNP (Compagnie Nationale à Portefeuille SA), a Belgian non-listed holding company New People's Militia in Manipur, India
Most other package managers (such as Chocolatey) install applications in one central location, where they are usable by all the users on the system. Some bloggers recommend to install both Chocolatey and Scoop. [17] [16] Both have strong community support. [18] Scoop lets developers quickly set up a repeatable development environment.
Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists, and today is a popular package manager for Python and R.
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [54] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.