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

	go test/testing https://golang.org/pkg/testing/	Green https://github.com/CleanCut/green
Programming language	Go	Python
Category	Unit Testing	Unit Testing
General info	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	Green is a clean, colorful, fast Python test runner This is a test runner that has pretty printing on output that makes results easy to read and understand. Some of its features include: Tests running in independent processes (fast), low redundancy in output (clean), supports pretty printing that is the terminal output, makes good use of color when the terminal supports it (colorful)
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No However there are Plugins such as https://github.com/tebeka/go2xunitto convert the output of Go testing library into xUnit format	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Yes it can be used effectively for front-end testing	Yes It can test front-end components of the django framework
Server-side Allows testing the bahovior of a server-side code	Yes Yes, it is used by developers for end-to-end testing so the back-end can be tested easily as well	Yes It can test server-side behaviours of web applications written with Python
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	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	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 Group fixtures can be done following a similar procedure as a single fixture	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 They are available by importing a package called 'gotests' (https://github.com/cweill/gotests)	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)	Yes By use of a third party library GoMock which intergrates well with the testing library	Yes Through the use of Python's mock library
Grouping Allows organizing tests in groups	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	N/A
Other Other useful information about the testing framework