Green vs MSTest comparison of testing frameworks
What are the differences between Green and MSTest?

	Green https://github.com/CleanCut/green	MSTest https://github.com/microsoft/testfx-docs
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)	MSTest is a Unit testing framework for the .net framework MSTest is fully integrated with Visual Studios and works natively without the need for any plugins. MSTest is better suited for only using Microsoft technologies rather than mixed technology environments.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	Yes MsTest is an xUnit type framework
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 MsTest can test various front-end components
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 With MSTest you can test various back-end components individually
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 MSTest contains fixture methods TestInitialize to setup your environment and TestCleanup to destroy the test environment
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 Group fixtures are available
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	N/A
Licence Licence type governing the use and redistribution of the software	MIT License	Creative Commons Attribution 3.0 International Public 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	Yes You can create mock objects using the third party library moq
Grouping Allows organizing tests in groups	N/A	Yes Grouping of tests into suites is possible with MSTest
Other Other useful information about the testing framework