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

pytest

https://docs.pytest.org/en/latest/

TestOOB

https://pypi.org/project/testoob/
Programming language

Python

Python

Category

Unit Testing

Unit Testing, unittest Extensions

General info

Pytest is the TDD 'all in one' testing framework for Python

Pytest is a powerful Python testing framework that can test all and levels of software. It is considered by many to be the best testing framework in Python with many projects on the internet having switched to it from other frameworks, including Mozilla and Dropbox. This is due to its many powerful features such as ‘assert‘ rewriting, a third-party plugin model and a powerful yet simple fixture model.

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

pytest can test any part of the stack including front-end components

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

pytest is powerful enough to test database and server components and functionality

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

Yes

Pytest has a powerful yet simple fixture model that is unmatched in any other testing framework.

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.

Yes

Pytest's powerful fixture model allows grouping of fixtures

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.

Yes

pytest has a hook function called pytest_generate_tests hook which is called when collecting a test function and one can use it to generate data

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

By either using unittest.mock or using pytest-mock a thin wrapper that provides mock functionality for pytest

Yes

Mocks are available - testoob can acess library unittest.mock which is used for mocking
Grouping
Allows organizing tests in groups

Yes

Tests can be grouped with pytest by use of markers which are applied to various tests and one can run tests with the marker applied

Yes

One can build suites with testoob
Other
Other useful information about the testing framework