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

	Green https://github.com/CleanCut/green	TestOOB https://pypi.org/project/testoob/
Programming language	Python	Python
Category	Unit Testing	Unit Testing, unittest Extensions
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)	Testoob is an advanced unit testing framework for Python. Testoob integrates with existing unittest test suites. It contains many features like: a filter which tests to run with regular expressions, output test results as XML/HTML/PDF, test skipping, color output on a terminal and more.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	No
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 Testoob can test front-end features since it is a unit testing tool. One can write a test for each function that is on the client side
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 Testoob can test back-end functionality since it is a unit testing tool. One can write a test for each function in the back-end.
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 TestOOB extends unittest and prepares fixtures by use of the 'setUp() function just like unittest
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 The 'setUp()' function allows you to group your initialization functions
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	Apache License 2.0
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 Mocks are available - testoob can acess library unittest.mock which is used for mocking
Grouping Allows organizing tests in groups	N/A	Yes One can build suites with testoob
Other Other useful information about the testing framework