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

pytest

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

Tyrtle

https://github.com/spadgos/tyrtle
Programming language

Python

JavaScript

Category

Unit Testing

Unit 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.

Tyrtle is a Javascript unit testing framework that emphasises simplicity, cleanliness and expressiveness.

Tyrtle runs either in the browser or on NodeJS. In a CommonJS environment (eg: Node, or the browser running RequireJS), nothing is added to the global space, and with plain Javascript in the browser, only one variable is added to the window object. This keeps it clean and ensures that it won't interfere with your codebase.
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

N/A

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

Front-end pieces of code can be tested, you can test various components and functionality
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

Back-end components and functions can be tested using tyrtle
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.

N/A

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

N/A

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

GNU GPL

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

By using Myrtle, a sister project of Tyrtle which provides various Mocking features such as: -Mocking (spying and stubbing functions); -Mock function generation; -Timer manipulation-Speed profiling
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

N/A

Other
Other useful information about the testing framework