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For the R programming language, the Comprehensive R Archive Network (CRAN) runs tests routinely. To understand how this is valuable, imagine a situation with two developers, Sally and John. Sally contributes a package A. Sally only runs the current version of the software under one version of Microsoft Windows, and has only tested it in that ...
LuaRocks: a programming library and package manager for Lua; Maven: a package manager and build tool for Java; npm: a programming library and package manager for Node.js and JavaScript; NuGet: the package manager for the Microsoft development platform including .NET Framework and Xamarin; opam: a source-based package manager for OCaml;
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.
A software package is an archive file containing a computer program as well as necessary metadata for its deployment. The computer program can be in source code that has to be compiled and built first. [6] Package metadata include package description, package version, and dependencies (other packages that need to be installed beforehand).
In January 2010, a package manager was introduced for the Node.js environment called npm. [18] The package manager allows programmers to publish and share Node.js packages, along with the accompanying source code, and is designed to simplify the installation, update and uninstallation of packages. [17]
Common Platform Enumeration (CPE) is a structured naming scheme for information technology systems, software, and packages. Based upon the generic syntax for Uniform Resource Identifiers (URI), CPE includes a formal name format, a method for checking names against a system, and a description format for binding text and tests to a name.
R packages are extensions to the R statistical programming language. R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
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.