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