Top 20 NuGet testframework Packages

MSTest is Microsoft supported Test Framework. This package includes the adapter logic to discover and run tests. For access to the testing framework, install the MSTest.TestFramework package. Supported platforms: - .NET 4.6.2+ - .NET Core 3.1+ - .NET 6.0 - .NET ...
MSTest is Microsoft supported Test Framework. This package includes the libraries for writing tests with MSTest. To ensure discovery and execution of your tests, install the MSTest.TestAdapter package. Supported platforms: - .NET 4.6.2+ - .NET Core 3.1+ - .NET 6.0 ...
Composite extension for Magenic's automation quick start framework. Includes all MAQS extensions.
Magenic's automation quick start framework
Magenic's automation quick start framework
Magenic's automation quick start framework
This package contains extensions to the Microsoft Visual Studio Team Test unit testing framework. Features include alternatives to ExpectedExceptionAttribute and a fully extensible assertion application programming interface.
Magenic's automation quick start framework
Web Service extension for Magenic's automation quick start framework
Mongo extension for Magenic's automation quick start framework
A .NET library providing foundations for automated testing - designed to make it easier to implement test cases and to read their output.
Magenic's automation quick start .Net Core templates
Database extension for Magenic's automation quick start framework
Email extension for Magenic's automation quick start framework
Appium extension for Magenic's automation quick start framework
A .NET library for using MSTest (and Moq) on top of the ChannelAdam Test Framework.
A .NET library for using the open source, .NET Standard MSTest V2 (and Moq) on top of the ChannelAdam Test Framework.
A .NET library that provides helpers for using Moq on top of the ChannelAdam.TestFramework.
The Quintity TestFramework core assembly contains class definitions (test suites, cases and steps) for building an automated test solution.
Simplifies testing by automatically selecting the appropriate input data for a given test case.