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