pytesthttps://docs.pytest.org/en/latest/ |
Fixiehttp://fixie.github.io/ |
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Programming language |
Python |
.NET |
Category |
Unit Testing |
Unit Testing |
General info |
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. |
Fixie is a .NET test framework similar to NUnit and xUnitFixie allows test methods to be created and executed like other test frameworks, but takes a takes a conventions-based approach, which is a benefit as we do not need to use attributes to mark classes and methods as tests |
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality. |
No |
Yesfixie is an xUnit type testing framework |
Client-side
Allows testing code execution on the client, such as a web browser |
Yespytest can test any part of the stack including front-end components |
YesYou can unit test front-end components of youra pplications with fixie |
Server-side
Allows testing the bahovior of a server-side code |
Yespytest is powerful enough to test database and server components and functionality |
YesYou can unit test back-end components of your applications with fixie |
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test |
YesPytest has a powerful yet simple fixture model that is unmatched in any other testing framework. |
YesYes, fixie has fixture methods for setting up tests and at the end of tests to destroy them |
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. |
YesPytest'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. |
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 |
N/A |
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) |
YesBy either using unittest.mock or using pytest-mock a thin wrapper that provides mock functionality for pytest |
N/A |
Grouping
Allows organizing tests in groups |
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 |
YesYou can group tests into suites |
Other
Other useful information about the testing framework |
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