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

	Intern https://github.com/theintern/intern	Green https://github.com/CleanCut/green
Programming language	JavaScript	Python
Category	Unit Testing, Functional Testing	Unit Testing
General info	Intern is minimal test system for JavaScript designed to write and run consistent. Intern is a complete test system for JavaScript designed to help you write and run consistent, high-quality test cases for your JavaScript libraries and applications. Using Intern we can write tests in JavaScript and TypeScript using any style like TDD, and BDD. Intern can run unit tests in most browsers that support ECMAScript	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 Intern is a complete test system for JavaScript It Runs in the browser and can test any front-end component and functionality	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 is a complete testing system that can test any type of JavaScript code, it can test server-side behaviour and components 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	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
Licence Licence type governing the use and redistribution of the software	FreeBSD 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)	Intern uses the Dojo Toolkit’s AMD loader. To mock, you should be able to just use the standard AMD 'map' feature, else you can use third party libraries like sinon.js	Yes Through the use of Python's mock library
Grouping Allows organizing tests in groups	Yes You can group tests into Suites which may be specified as file paths or using glob expressions, there is typically one top-level suite per module.	N/A
Other Other useful information about the testing framework