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

	teenytest https://github.com/testdouble/teenytest	Green https://github.com/CleanCut/green
Programming language	JavaScript	Python
Category		Unit Testing
General info	Teenytest is a simple, zero-config test runner for NodeJS Teenytest's CLI will run tests with zero public-API and zero configuration	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.	Yes It supports xUnit output	No
Client-side Allows testing code execution on the client, such as a web browser	No	Yes It can test front-end components of the django framework
Server-side Allows testing the bahovior of a server-side code	Yes Teenytest tests database connections and other server-side components and behaviour	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 It provides fixtures with the methods beforeAll(),afterEach() and afterAll()beforeAll() creates the browser and gives you a newPage() globalafterEach() will close any pages you created with newPage()afterAll() closes the browser	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 Teeny test supports 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.		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)	N/A	Yes Through the use of Python's mock library
Grouping Allows organizing tests in groups	Yes Grouping is supported through nested tests in which any object can contain any combination of hooks, test functions, and additional sub-test objects.	N/A
Other Other useful information about the testing framework