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An output of pip install virtualenv. 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 ...
Synaptic, an example of a package manager. A package manager or package-management system is a collection of software tools that automates the process of installing, upgrading, configuring, and removing computer programs for a computer in a consistent manner.
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;
pip: A package installer for Python [22] apt: For managing Debian Packages [23] Homebrew: A package installer for MacOS that allows one to install packages Apple didn't [24] vcpkg: A package manager for C and C++ [25] [26] yum and dnf: Package manager for Fedora and Red Hat Enterprise Linux [27] pacman: Package manager for Arch Linux [28]
Pip, a package manager used to install and manage Python software packages such as those from the Python Package Index (PyPI) software repository PiTiVi , a non-linear video editor Portage , the heart of Gentoo Linux, an advanced package management system based on the BSD-style ports system
Snap is a software packaging and deployment system developed by Canonical for operating systems that use the Linux kernel and the systemd init system. The packages, called snaps, and the tool for using them, snapd, work across a range of Linux distributions [3] and allow upstream software developers to distribute their applications directly to users.
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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.