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

	Lighttest http://asvd.github.io/lighttest	pytest https://docs.pytest.org/en/latest/
Programming language	JavaScript	Python
Category	Unit Testing	Unit Testing
General info	Lighttest is a JavaScript unit-testing library — it works both in browsers and under Node.js, supports flow control, and is focused on keeping the tests clear. Lighttest keeps tests clear by using a minimal syntax of the test cases, and the only testing function, lighttest.check(), is used to indicate a success or a failure. Any testing behaviour can be implemented using this function JavaScript natively meaning no additional testing API is required.	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.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	N/A	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Light Test works in the browser to test client side components and behaviours	Yes pytest can test any part of the stack including front-end components
Server-side Allows testing the bahovior of a server-side code	Yes Light Test works with NodeJs to test back-end environments behaviours and components in short it can test any behaviour in the back-end as well as the front-end	Yes pytest 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	N/A	Yes Pytest 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.	N/A	Yes Pytest'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	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
Licence Licence type governing the use and redistribution of the software	MIT License	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)	N/A	Yes By either using unittest.mock or using pytest-mock a thin wrapper that provides mock functionality for pytest
Grouping Allows organizing tests in groups	N/A	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
Other Other useful information about the testing framework