pytest vs go test/testing comparison of testing frameworks
What are the differences between pytest and go test/testing?

	pytest https://docs.pytest.org/en/latest/	go test/testing https://golang.org/pkg/testing/
Programming language	Python	Go
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.	go test is an inbuilt tool/command for conducting automated tests in Golang while testing is the inbuilt testing library Testing is the package that is shipped with go and combines with the go test command to provide a minimal but complete testing experience
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	No However there are Plugins such as https://github.com/tebeka/go2xunitto convert the output of Go testing library into xUnit format
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 Yes it can be used effectively for front-end testing
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 Yes, it is used by developers for end-to-end testing so the back-end can be tested easily as well
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.	Yes Yes it's straightforward in that first when you run 'go test' for packages in the scope the test will be executed with its working directory set to the source directory of the package being tested. Second the 'go test' tool will ignore any directory in your $GOPATH that starts with the word 'testdata' , starts with a period or an underscore
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	Yes Group fixtures can be done following a similar procedure as a single fixture
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	Yes They are available by importing a package called 'gotests' (https://github.com/cweill/gotests)
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)	Yes By either using unittest.mock or using pytest-mock a thin wrapper that provides mock functionality for pytest	Yes By use of a third party library GoMock which intergrates well with the testing library
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	Yes The short answer is yes, by use of table tests which are a great way of performing multiple I/O tests on a function or behaviour with minimal code
Other Other useful information about the testing framework