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

	JasUnit http://jster.net/library/jasunit	pytest https://docs.pytest.org/en/latest/
Programming language	JavaScript	Python
Category	Unit Testing	Unit Testing
General info	JasUnit is a slim unit testing framework for JavaScript, following the general design principles of xUnit. For testing your code, JasUnit allows you to: Create test fixtures with any number of test methods; Implement setup() and teardown() methods which are run before and after each test; Specify a namespace for a fixture for easy organisation of tests; Use the default or custom logger (default appends results to a given element); Use assertions from any scope - this isn't necessary or even really advised, but some people prefer it.	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.	Yes JasUnit follows the general design principles o xUnit	No
Client-side Allows testing code execution on the client, such as a web browser	Yes JasUnit is primarily used to test front-end code and functionality	Yes pytest can test any part of the stack including front-end components
Server-side Allows testing the bahovior of a server-side code	No	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	Yes With JasUnit you can Create test fixtures with any number of test methods Implement setup() and teardown() methods which are run before and after each test	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.	Yes JasUnit allow you to create group fixtures	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.		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	N/A	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)	Yes It provides inbuilt Mocking capabilities	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