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

	DOH https://dojotoolkit.org/reference-guide/1.10/util/doh.html	Green https://github.com/CleanCut/green
Programming language	JavaScript	Python
Category	Unit Testing	Unit Testing
General info	D.O.H means Dojo Objective Harness, it's a test framework for the DOJO web apps which tests and runs on the browser and on cloud test execution services like Browserstack Dojo is a Typescript framework build for modern web application, and D.O.H is a basically unit test library to test JavaScript functions and custom widgets	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 DOH is both flexible and extendable and runs in many environments including many browsers to test various front-end functionalities and components	Yes It can test front-end components of the django framework
Server-side Allows testing the bahovior of a server-side code	Yes Pieces of back-end code can be tested with DOH as it performs Unit tests. It is flexible enough to test server-side behaviour and functionality	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	It has various fixture methods like setUp(), tearDown() and Performance test fixtures which are just like a regular test fixtures, but with extra options. Specifically, it uses 'testType' to mark it as a "perf" test, which instructs the D.O.H. runner to treat the tests as performance and use the calibrate and execute test runner	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 It supports group 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	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)	N/A	Yes Through the use of Python's mock library
Grouping Allows organizing tests in groups	Yes There is a function that allows you to group tests, the 'doh.register(...)' function. It's most commonly used for registering Unit Tests	N/A
Other Other useful information about the testing framework