CommunityToolkit.Diagnostics 7.0.3

Prefix Reserved
There is a newer version of this package available.
See the version list below for details.
dotnet add package CommunityToolkit.Diagnostics --version 7.0.3                
NuGet\Install-Package CommunityToolkit.Diagnostics -Version 7.0.3                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="CommunityToolkit.Diagnostics" Version="7.0.3" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add CommunityToolkit.Diagnostics --version 7.0.3                
#r "nuget: CommunityToolkit.Diagnostics, 7.0.3"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install CommunityToolkit.Diagnostics as a Cake Addin
#addin nuget:?package=CommunityToolkit.Diagnostics&version=7.0.3

// Install CommunityToolkit.Diagnostics as a Cake Tool
#tool nuget:?package=CommunityToolkit.Diagnostics&version=7.0.3                

This package includes .NET Standard code only helpers such as:
       - Guard: Helper methods to verify conditions when running code.
       - ThrowHelper: Helper methods to efficiently throw exceptions.

Product Compatible and additional computed target framework versions.
.NET net5.0 is compatible.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp1.0 was computed.  netcoreapp1.1 was computed.  netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard1.4 is compatible.  netstandard1.5 was computed.  netstandard1.6 was computed.  netstandard2.0 is compatible.  netstandard2.1 is compatible. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen30 was computed.  tizen40 was computed.  tizen60 was computed. 
Universal Windows Platform uap was computed.  uap10.0 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (173)

Showing the top 5 NuGet packages that depend on CommunityToolkit.Diagnostics:

Package Downloads
Umbrella.Utilities

This package contains a range of utility classes to aid application development.

FaceAiSharp

FaceAiSharp allows you to work with face-related computer vision tasks easily. It currently provides face detection, face recognition, facial landmarks detection, and eye state detection functionalities. FaceAiSharp leverages publicly available pretrained ONNX models to deliver accurate and efficient results and offers a convenient way to integrate them into your .NET applications. Whether you need to find faces, recognize individuals, detect facial landmarks, or determine eye states, FaceAiSharp simplifies the process with its simple API. ONNXRuntime is used for model inference, enabling hardware acceleration were possible. All processing is done locally, with no reliance on cloud services. This package contains just FaceAiSharp's managed code and does not include any ONNX models. Take a look at FaceAiSharp.Bundle for a batteries-included package with everything you need to get started.

FaceAiSharp.Bundle

FaceAiSharp allows you to work with face-related computer vision tasks easily. It currently provides face detection, face recognition, facial landmarks detection, and eye state detection functionalities. FaceAiSharp leverages publicly available pretrained ONNX models to deliver accurate and efficient results and offers a convenient way to integrate them into your .NET applications. Whether you need to find faces, recognize individuals, detect facial landmarks, or determine eye states, FaceAiSharp simplifies the process with its simple API. ONNXRuntime is used for model inference, enabling hardware acceleration were possible. All processing is done locally, with no reliance on cloud services. This is a bundle package that installs FaceAiSharp's managed code and multiple AI models in the ONNX format.

Jakar.Extensions

Extensions to aid in development.

cuid.net

.NET implementation of collision-resistant ids

GitHub repositories (17)

Showing the top 5 popular GitHub repositories that depend on CommunityToolkit.Diagnostics:

Repository Stars
DevToys-app/DevToys
A Swiss Army knife for developers.
immense/Remotely
A remote control and remote scripting solution, built with .NET 8, Blazor, and SignalR.
Pixeval/Pixeval
Wow. Yet another Pixiv client!
jenius-apps/ambie
An app that uses white noise, nature sounds, and focus features to boost your productivity.
sn4k3/UVtools
MSLA/DLP, file analysis, calibration, repair, conversion and manipulation
Version Downloads Last updated
8.4.0 529 12/12/2024
8.4.0-preview3 3,247 11/27/2024
8.4.0-preview2 1,656 11/14/2024
8.4.0-preview1 2,106 10/30/2024
8.3.2 265,991 9/18/2024
8.3.1 18,654 9/12/2024
8.3.0 88,679 8/27/2024
8.2.2 2,258,512 10/25/2023
8.2.1 601,556 7/6/2023
8.2.0 866,169 4/27/2023
8.2.0-preview2 1,865 3/27/2023
8.2.0-preview1 1,398 3/13/2023
8.1.0 458,991 1/18/2023
8.1.0-preview3 2,880 12/26/2022
8.1.0-preview2 1,702 12/13/2022
8.1.0-preview1 3,516 11/2/2022
8.0.0 383,543 8/4/2022
8.0.0-preview4 13,634 6/7/2022
8.0.0-preview3 24,113 4/7/2022
8.0.0-preview2 1,236 3/10/2022
8.0.0-preview1 62,237 1/25/2022
7.1.2 45,430 11/18/2021
7.1.1-preview3.1 231 11/9/2021
7.1.1-preview3 1,090 10/29/2021
7.0.3 6,678 6/25/2021
7.0.2 1,437 5/12/2021
7.0.1 14,172 4/1/2021