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Plug'n'Play allows users to run Node projects without node_modules folder, defining the way or location to resolve dependencies package files with the Plug-n-Play-control file. This feature is aimed to fix an unwell structured node_modules architecture and resulting in a faster Node.js application start-up time.
The following unify package management for several or all Linux and sometimes Unix variants. These, too, are based on the concept of a recipe file. AppImage (previously klik and PortableLinuxApps) aims to provide an easy way to get software packages for most major distributions without the dependency problems so common in many other package ...
[1] A package manager deals with packages, distributions of software and data in archive files. Packages contain metadata, such as the software's name, description of its purpose, version number, vendor, checksum (preferably a cryptographic hash function), and a list of dependencies necessary for the software to run properly. Upon installation ...
In 2011, the Python Packaging Authority (PyPA) was created to take over the maintenance of pip and virtualenv from Bicking, led by Carl Meyer, Brian Rosner, and Jannis Leidel. [10] With the release of pip version 6.0 (2014-12-22), the version naming process was changed to have version in X.Y format and drop the preceding 1 from the version ...
All alternative implementations have at least slightly different semantics (e.g. may have unordered dictionaries, unlike all current Python versions), e.g. with the larger Python ecosystem, such as with supporting the C Python API of with PyPy: PyPy is a fast, compliant interpreter of Python 2.7 and 3.10.
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
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.
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.