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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.
dpkg: Originally used by Debian and now by Ubuntu. Uses the .deb format and was the first to have a widely known dependency resolution tool, APT. The ncurses-based front-end for APT, aptitude, is also a popular package manager for Debian-based systems; Entropy: Used by and created for Sabayon Linux.
It is developed for the Debian Linux distribution, and is closely integrated with Debian's package management system, dpkg. When packages are being installed, debconf asks the user questions which determine the contents of the system-wide configuration files associated with that package.
The Debian build toolchain is a collection of software utilities used to create Debian source packages (.dsc) and Debian binary packages (.deb files) from upstream source tarballs. These tools are used in the Debian project and also in Debian-based distributions such as Ubuntu.
Fink, a port of dpkg and APT to macOS, uses deb packages. [30] [31] Nexenta OS, a discontinued OS based on OpenSolaris, included Debian package management software and the use of deb packages. Debian GNU/kFreeBSD, an OS that uses a GNU based userland and the FreeBSD kernel. Debian GNU/Hurd. Some jailbroken iOS devices (iPhones, iPads and iPods ...
APT was originally designed as a front end for dpkg to work with Debian's .deb packages. A version of APT modified to also work with the RPM Package Manager system was released as APT-RPM . [ 29 ] The Fink project has ported APT to Mac OS X for some of its own package management tasks, [ 30 ] and APT is also available in OpenSolaris .
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The concept of data dependency management comes from software package dependency management tools such as npm for JavaScript, gem for Ruby, and NuGet for .NET. Their rationale is to allow users to manage the software dependency on data, such as machine learning models for data-driven applications. They are useful to publish, locate, and install ...