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


Programming language




Unit Testing

Unit Testing, Regression Testing

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.

JUnit is an open source Unit testing framework for java

JUnit is useful for developers to write and run repeatable tests. JUnit has been crucial in the development of test driven development and is partof the xUnit family of unit testing frameworks
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.



It is an instance of the xUnit architecture for unit testing frameworks.
Allows testing code execution on the client, such as a web browser


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


You can test front-end components such as individual classes and functions that create the front-end
Allows testing the bahovior of a server-side code


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


You can test classes and functions that compose the back-end such as database connections and so on
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test


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


JUnit contains a setUp() method, which runs before every test invocation and a tearDown() method, which runs after every test method.
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.


Pytest's powerful fixture model allows grouping of fixtures


You can use setUp() and tearDown() inbuilt functions as group fixtures.
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.


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

You can use JUnit-quickcheck to generate test data
Licence type governing the use and redistribution of the software

MIT License

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)


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

JUnit does not support mocking internally but you can use a mock framework like Mockito to generate mock objects.
Allows organizing tests in groups


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


In JUnit you can create a test suite that bundles a few unit test cases and runs them together. You use both @RunWith and @Suite annotation are used to run the suite test.
Other useful information about the testing framework