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