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vcpkg provides access to C and C++ libraries to its supported platforms. The command-line utility is currently available on Windows, macOS and Linux. [2]vcpkg was first announced at CppCon 2016.
NuGet (pronounced "New Get") [3] is a package manager, primarily used for packaging and distributing software written using .NET and the .NET Framework. The Outercurve Foundation initially created it under the name NuPack.
Over time, the PE format has grown with the Windows platform. Notable extensions include the .NET PE format for managed code, PE32+ for 64-bit address space support, and a specialized version for Windows CE. To determine whether a PE file is intended for 32-bit or 64-bit architectures, one can examine the Machine field in the IMAGE_FILE_HEADER. [6]
ProGet currently supports a growing list of package managers, including NuGet, Chocolatey, Bower, npm, Maven, PowerShell, RubyGems, Helm for Kubernetes, Debian, Python, and Visual Studio Extensions (.vsix). ProGet also supports Docker containers, Jenkins build artifacts (through a plugin) and vulnerability scanning.
Windows Package Manager was first announced at the Microsoft Build developer conference in May 2020. [7] [6]Before deciding to develop Windows Package Manager, the team behind it explored Chocolatey, Scoop, Ninite, AppGet, Npackd and the PowerShell-based OneGet. [6]
Name Owner Platforms License; Chromium Embedded Framework (CEF) : CEF Project Page Linux, macOS, Microsoft Windows: Free: BSD CEGUI: CEGUI team Linux, macOS ...
Chocolatey [5] is a machine-level, command-line package manager and installer for software on Microsoft Windows.It uses the NuGet packaging infrastructure and Windows PowerShell to simplify the process of downloading and installing software.
Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]