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A problem on Linux systems with installing packages from a different distributor is that the resulting long chain of dependencies may lead to a conflicting version of the C standard library (e.g. the GNU C Library), on which thousands of packages depend. If this happens, the user will be prompted to uninstall all of those packages.
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]
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.
DNF (abbreviation for Dandified YUM) [7] [8] [9] is a package manager for Red Hat-based Linux distributions and derivatives. DNF was introduced in Fedora 18 in 2013 as a replacement for yum; [10] it has been the default package manager since Fedora 22 in 2015 [11] and Red Hat Enterprise Linux 8 [when?] [12] and is also an alternative package manager for Mageia.
Anaconda Cloud is a package management service by Anaconda where users can find, access, store and share public and private notebooks, environments, and Conda and PyPI packages. [52] Cloud hosts useful Python packages, notebooks and environments for a wide variety of applications.
The Yellowdog Updater Modified (YUM) is a free and open-source command-line package-management utility for computers running the Linux operating system using the RPM Package Manager. [4] Though YUM has a command-line interface, several other tools provide graphical user interfaces to YUM functionality.
The Python Distribution Utilities (distutils) Python module was first added to the Python standard library in the 1.6.1 release, in September 2000, and in the 2.0 release, in October 2000, nine years after the first Python release in February 1991, with the goal of simplifying the process of installing third-party Python packages.
Mojo was created for an easy transition from Python. The language has syntax similar to Python's, with inferred static typing, [30] and allows users to import Python modules. [31] It uses LLVM and MLIR as its compilation backend. [12] [32] [33] The language also intends to add a foreign function interface to call C/C++ and Python