stestr vs QUnit comparison of testing frameworks
What are the differences between stestr and QUnit?

	stestr https://pypi.org/project/stestr/	QUnit https://qunitjs.com/
Programming language	Python	JavaScript
Category	Unit Testing	Unit Testing
General info	stestr is a Python test runner designed to execute unittest test suites stestr executes unittest test suites by using multiple processes to split up execution of a test suite then stores a history of all test runs to help in debugging failures and optimizing the scheduler to improve speed.	QUnit is a JS Unit testing framework. QUnit is especially useful for regression testing of jQuery, jQuery UI and jQuery Mobile projects
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	Yes Yes, it is a xUnit style framework
Client-side Allows testing code execution on the client, such as a web browser	Yes Stestr being a test runner that runs unittest tests, it can test fron-tend functionality and behaviour.	Yes QUnit is commonly used by jQuery, jQuery UI and jQuery Mobile It can test front-end components and functionality
Server-side Allows testing the bahovior of a server-side code	Yes Stestr being a test runner that runs unittest tests, it can run back-end tests for functionality and behaviour.	Yes Qunit can test any JavaScript code(including itself), this includes server-side components and functionality. Supports NodeJs
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes By use of a third party library like Fixture	Yes By using the qunit-fixture element which is a container for some HTML that your tests can assert against.
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.	By use of a third party library like Fixture	Yes You can group fixtures together with QUnit
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.	Yes By using a library like test-generator
Licence Licence type governing the use and redistribution of the software	Apache License 2.0	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	You can use third party libraries like jQuery's Mockjax plugin
Grouping Allows organizing tests in groups	N/A	Yes You can use the QUnit.module() function to group tests together
Other Other useful information about the testing framework