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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'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]
Package metadata include package description, package version, and dependencies (other packages that need to be installed beforehand). Package managers are charged with the task of finding, installing, maintaining or uninstalling software packages upon the user's command. Typical functions of a package management system include:
Nix package manager: Nix is a package manager for Linux and other Unix-like systems that makes package management reliable and reproducible. It provides atomic upgrades and rollbacks, side-by-side installation of multiple versions of a package, multi-user package management and easy setup of build environments;
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.
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.
dpkg is used to install, remove, and provide information about .deb packages. dpkg (Debian Package) itself is a low-level tool. APT (Advanced Package Tool), a higher-level tool, is more commonly used than dpkg as it can fetch packages from remote locations and deal with complex package relations, such as dependency resolution.
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]