Green vs xUnit.net comparison of testing frameworks
What are the differences between Green and xUnit.net?

	Green https://github.com/CleanCut/green	xUnit.net https://xunit.net/
Programming language	Python	.NET
Category	Unit Testing	Unit Testing
General info	Green is a clean, colorful, fast Python test runner This is a test runner that has pretty printing on output that makes results easy to read and understand. Some of its features include: Tests running in independent processes (fast), low redundancy in output (clean), supports pretty printing that is the terminal output, makes good use of color when the terminal supports it (colorful)	xUnit.net is aUnit testing framework for C# and .NET xUnit.net is a free, open source, community-focused unit testing tool for the .NET Framework. It is used to test C#, F#, VB.NET and other .NET languages. xUnit.net and works with ReSharper, CodeRush, TestDriven.NET and Xamarin. It is part of the .NET Foundation,
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	Yes xUnit.net is part of the xUnit family of frameworks
Client-side Allows testing code execution on the client, such as a web browser	Yes It can test front-end components of the django framework	Yes You can test various front-end components independently since it is a Unit testing framework
Server-side Allows testing the bahovior of a server-side code	Yes It can test server-side behaviours of web applications written with Python	Yes You can test various back-end components independently since it is a Unit testing framework
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	N/A	Yes It contains class fixtures which are setup once pertest class
Group fixtures Allows defining a fixed, specific states of data for a group of tests (group-fixtures). This ensures specific environment for a given group of tests.	N/A	Yes xUnit.net contains collection fixtures which allow you to share context among many tests
Generators Supports data generators for tests. Data generators generate input data for test. The test is then run for each input data produced in this way.	N/A
Licence Licence type governing the use and redistribution of the software	MIT License
Mocks Mocks are objects that simulate the behavior of real objects. Using mocks allows testing some part of the code in isolation (with other parts mocked when needed)	Yes Through the use of Python's mock library
Grouping Allows organizing tests in groups	N/A
Other Other useful information about the testing framework