Kotesthttps://github.com/kotest/kotest |
pytesthttps://docs.pytest.org/en/latest/ |
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Programming language |
Kotlin |
Python |
Category |
Unit Testing |
Unit Testing |
General info |
kotest is a powerful, elegant and flexible test framework for Kotlin, formerly known as kotlintestKotest has excellent support for data driven testing or table driven testing where it has the ability to quickly rerun the same test over and over with a predefined set of inputs and expected values |
Pytest is the TDD 'all in one' testing framework for PythonPytest 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. |
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 |
YesYou can test front-end components with kotest |
Yespytest can test any part of the stack including front-end components |
Server-side
Allows testing the bahovior of a server-side code |
YesYes, you can test back-end components with kotest |
Yespytest is powerful enough to test database and server components and functionality |
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test |
Yeskotest contains fixtures, that is the setup / teardown functions |
YesPytest has a powerful yet simple fixture model that is unmatched in any other testing framework. |
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. |
Yeskotest has group fixtures available |
YesPytest's powerful fixture model allows grouping of fixtures |
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 |
Yespytest 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 |
Licence
Licence type governing the use and redistribution of the software |
Apache License 2.0 |
MIT 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) |
YesYou can use a third party library like mockk to create mocks |
YesBy either using unittest.mock or using pytest-mock a thin wrapper that provides mock functionality for pytest |
Grouping
Allows organizing tests in groups |
YesYou can create test suites with kotest |
YesTests can be grouped with pytest by use of markers which are applied to various tests and one can run tests with the marker applied |
Other
Other useful information about the testing framework |
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