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

	Python Testify https://github.com/Yelp/Testify	MSTest https://github.com/microsoft/testfx-docs
Programming language	Python	.NET
Category	Unit Testing	Unit Testing
General info	A Python unit testing framework modelled after unittest Testify is modelled after unittest but has more features while still supporting unittest classes. It has more pythonic naming conventions, an better test runner output visually, a decorator-based approach to fixture methods among many other features	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 Front-end functionality and behaviour can be tested by Testify.	Yes MsTest can test various front-end components
Server-side Allows testing the bahovior of a server-side code	Yes Testify can test various server and database behaviours and functionality	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	Yes Fixture methods are supported and it follows a decorator based approach, that is they are written similar to decorators	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.	Yes Group fixtures are supported	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.	Yes One can create generator methods to yield runnable test methods which will pick out the test methods from your TestCases, and then exclude any in any of your exclude_suites method.If there are any require_suites, it will then further limit itself to test methods in those suites.	N/A
Licence Licence type governing the use and redistribution of the software	Apache License 2.0	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 It includes the turtle mock object library	Yes You can create mock objects using the third party library moq
Grouping Allows organizing tests in groups	Yes Testify includes support for detecting and running test suites, grouped by modules, classes, or individual test methods.	Yes Grouping of tests into suites is possible with MSTest
Other Other useful information about the testing framework