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

	DOH https://dojotoolkit.org/reference-guide/1.10/util/doh.html	Python Testify https://github.com/Yelp/Testify
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	A Python unit testing framework modelled after unittest Testify is modelled after unittest but has more features while still supporting unittest classes. It has more pythonic naming conventions, an better test runner output visually, a decorator-based approach to fixture methods among many other features
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 Front-end functionality and behaviour can be tested by Testify.
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 Testify can test various server and database behaviours and functionality
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	Yes Fixture methods are supported and it follows a decorator based approach, that is they are written similar to decorators
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	Yes Group fixtures are supported
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	Yes One can create generator methods to yield runnable test methods which will pick out the test methods from your TestCases, and then exclude any in any of your exclude_suites method.If there are any require_suites, it will then further limit itself to test methods in those suites.
Licence Licence type governing the use and redistribution of the software	FreeBSD License	Apache License 2.0
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 It includes the turtle mock object 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	Yes Testify includes support for detecting and running test suites, grouped by modules, classes, or individual test methods.
Other Other useful information about the testing framework