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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AWS CodeArtifact
Store and share artifacts across accounts, with appropriate levels of access granted to your teams and build systems. Reduce overhead from setup and maintenance of an artifact server or infrastructure with a fully managed service. Only pay for software packages stored, number of requests made, and data transferred out of Region with pay-as-you-go pricing. Configure CodeArtifact to fetch from public repositories such as the npm Registry, Maven Central, Python Package Index (PyPI), and NuGet. Securely share private packages across organizations by publishing them to a central organizational repository. Build automated approval workflows with CodeArtifact APIs and Amazon EventBridge, with visibility into your packages using AWS CloudTrail. Pull dependencies from CodeArtifact in AWS CodeBuild and publish new versions of your private packages secured with AWS Identity and Access Management (IAM).
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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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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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