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Python developers searching for a solution to publish, distribute, search for, and install software libraries and tools
About PyPI
PyPI is the official repository for Python software packages, hosting hundreds of thousands of projects that developers can publish and users can discover and install. It supports both source distributions (“sdists”) and pre-built binary “wheels”, allowing packages to include native extensions for different platforms. Projects on PyPI consist of multiple releases, each of which can include various files for different operating systems or Python versions. Metadata for each package includes things like version number, dependencies, licensing, classifiers, description (including rendering Markdown or reStructuredText), and other information that tools like pip use to resolve, download, and install the correct package. PyPI provides search and filtering based on package metadata, letting users find what they need via keywords, compatibility, or other package attributes.
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Synaptic
Synaptic is a graphical package management program for apt. It provides the same features as the apt-get command-line utility with a GUI front-end based on Gtk+. Install, remove, upgrade and downgrade single and multiple packages. Upgrade your whole system. Manage package repositories (sources.list). Find packages by name, description, and several other attributes. Select packages by status, section, name, or a custom filter. Sort packages by name, status, size, or version. Browse all available online documentation related to a package. Download the latest changelog of a package. Lock packages to the current version. Force the installation of a specific package version. Undo/Redo selections. Built-in terminal emulator for the package manager. Debian/Ubuntu only, configure packages through the debconf system. Debian/Ubuntu only, Xapain-based fast search (thanks to Enrico Zini).
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RPM Package Manager
The RPM Package Manager (RPM) is a powerful package management system capable of building computer software from the source into easily distributable packages; installing, updating, and uninstalling packaged software; querying detailed information about the packaged software, whether installed or not; and verifying the integrity of packaged software and resulting software installation. The package’s metadata is stored in the RPM header. The header is a binary data structure that stores single pieces of data in tags. Each tag has a pre-defined meaning and data type. These are not stored in the header itself but need to be known by the code reading the header. In the header, the tags are only referred to by their number. Each tag is either of a plain scalar type or is an array of one of these types. While not enforced by the type system the RPM code assumes that tags belonging together have the same number of entries.
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yarl
All URL parts, scheme, user, password, host, port, path, query, and fragment are accessible by properties. All URL manipulations produce a new URL object. Strings passed to constructor and modification methods are automatically encoded giving canonical representation as result. Regular properties are percent-decoded, use raw_ versions for getting encoded strings. Human-readable representation of URL is available as .human_repr(). PyPI contains binary wheels for Linux, Windows and MacOS. If you want to install yarl on another operating system (like Alpine Linux, which is not manylinux-compliant because of the missing glibc and therefore, cannot be used with our wheels) the tarball will be used to compile the library from the source code. It requires a C compiler and Python headers installed. Please note that the pure-Python (uncompiled) version is much slower. However, PyPy always uses a pure-Python implementation, and, as such, it is unaffected by this variable.
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Conda
Package, dependency, and environment management for any language, Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, Fortran, and more. Conda is an open-source package management system and environment management system that runs on Windows, macOS, Linux, and z/OS. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager, because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.
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Free Version available.
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PyPI
Founded: 2003
United States
pypi.org
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