Wallaby vs Green comparison of testing frameworks
What are the differences between Wallaby and Green?

	Wallaby https://github.com/elixir-wallaby/wallaby	Green https://github.com/CleanCut/green
Programming language	Elixir	Python
Category	Intergration Testing, Browser Automation	Unit Testing
General info	Library for end-to-end intergration testing for Elixir apps Wallaby supports concurrent feature testing (i.e multiple tests can run concurrently) as well as browser management	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	No
Client-side Allows testing code execution on the client, such as a web browser	Yes It works well for automated E2E testing; Wallaby also has an experimental Chrome Driver that works well	Yes It can test front-end components of the django framework
Server-side Allows testing the bahovior of a server-side code	N/A	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	N/A	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.	N/A	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.	N/A	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 Available through third party libraries like Mock and Mockery	Yes Through the use of Python's mock library
Grouping Allows organizing tests in groups	N/A	N/A
Other Other useful information about the testing framework