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