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The MSAGL software supplies four programming libraries: Microsoft.MSAGL.dll, a device-independent graph layout engine;; Microsoft.MSAGL.Drawing.dll, a device-independent implementation of graphs as graphical user interface objects, with all kinds of graphical attributes, and support for interface events such as mouse actions;
This article contains a list of libraries that can be used in .NET languages.These languages require .NET Framework, Mono, or .NET, which provide a basis for software development, platform independence, language interoperability and extensive framework libraries.
Orleans was originally created by the eXtreme Computing Group at Microsoft Research [2] and introduced the virtual actor model as a new approach to building distributed systems for the cloud. Orleans scales from a single on-premises server to highly-available and globally distributed applications in the cloud.
.net#.net maui From an acronym : This is a redirect from an acronym to a related topic, such as the expansion of the acronym; the expanded form is " .NET Multi-platform App UI ". Remember that an acronym is a special type of initialism that can be spoken as a word, such as "NATO" or "radar" or "ANOVA".
System.Windows.Forms.Integration.WindowsFormsHost.EnableWindowsFormsInterop(); WPF programs, via the P/Invoke feature of the CLR, can access native functionality such calling functions from Windows libraries. This allows the ability to communicate and operate other parts of the operating system, including unmanaged libraries. [25]
The .NET platform (pronounced as "dot net") is a free and open-source, managed computer software framework for Windows, Linux, and macOS operating systems. [4] The project is mainly developed by Microsoft employees by way of the .NET Foundation and is released under an MIT License.
Microsoft made several preview releases of this technology available as add-ons to Windows HPC Server 2008 R2.. An application written for Dryad is modeled as a directed acyclic graph (DAG).
dotnet.github.io /infer / Infer.NET is a free and open source .NET software library for machine learning . [ 2 ] It supports running Bayesian inference in graphical models and can also be used for probabilistic programming .