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

	Suitest https://github.com/SuitestAutomation/suitest-js-api	Green https://github.com/CleanCut/green
Programming language	JavaScript	Python
Category	End-to-End Testing, Browser Automation	Unit Testing
General info	Suitest is a freemium test automation tool specially designed for Smart/AndroidApple TV, XBOX, PlayStation4 and websites Suitest provides the codeless visual test editor on it's platform to easily create the automation scripts without any knowledge of programming languages. You can also see the version and result history. And Test execution is pretty fast	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, Since Suitest has a created custom framework service to test the apps on TV, Gaming consoles and website	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Suitetest allows for testing front-end components and functionality, it is a browser automation tool after all.	Yes It can test front-end components of the django framework
Server-side Allows testing the bahovior of a server-side code	Yes Since it performs end-to-end testing this includes critical functionalities like database/server connections, communications and other server-side functionalities	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 Mocks are available	Yes Through the use of Python's mock library
Grouping Allows organizing tests in groups	You can create suites in suitetest	N/A
Other Other useful information about the testing framework