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

	wru https://github.com/WebReflection/wru	stestr https://pypi.org/project/stestr/
Programming language	JavaScript	Python
Category	Unit Testing	Unit Testing
General info	wru is an essential general purpose test framework compatible with web environment, node.js, Rhino, and now PhantomJS too. wru is compatible with basically all possible browsers out there included IE5.5, IE6, IE7, IE8, IE9, IE10, Chrome, Firefox, Safari, Webkit based, Mobile Browsers, and Opera. On server side wru is compatible with latest node.js, Rhino, PhantomJS, and JavaScriptCore versions.	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.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	Yes Wru is compatible with xUnit	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Wru tests front-end components and functions, it is compatible with HTML and runs on probably all browsers	Yes Stestr being a test runner that runs unittest tests, it can test fron-tend functionality and behaviour.
Server-side Allows testing the bahovior of a server-side code	Yes It is used to test back-end components and behaviour and runs in server environments	Yes Stestr being a test runner that runs unittest tests, it can run back-end tests for functionality and behaviour.
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	N/A	Yes By use of a third party library like Fixture
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	By use of a third party library like Fixture
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 By using a library like test-generator
Licence Licence type governing the use and redistribution of the software	MIT 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)	You can implement your stubs and mocks using a wru.assert(...) when necessary during a specific test.	N/A
Grouping Allows organizing tests in groups	N/A	N/A
Other Other useful information about the testing framework