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

	Nose https://nose.readthedocs.io/en/latest/	DOH https://dojotoolkit.org/reference-guide/1.10/util/doh.html
Programming language	Python	JavaScript
Category	Unit Testing, unittest Extensions	Unit Testing
General info	Nose is a Python unit test framework This is a Python unit test framework that intergrates well with doctests, unnittests, and 'no-boilerplate tests', that is tests written from scratch without a specific boilerplate.	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
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 nose is a unit testing tool which is very similar to unittest. It is basically unittest with extensions therefore just like unittest is can test front-end components and behaviour	Yes DOH is both flexible and extendable and runs in many environments including many browsers to test various front-end functionalities and components
Server-side Allows testing the bahovior of a server-side code	Yes Nose can test back-end components and functionality as small units. One can write tests for each function that provides back-end functionality	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
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes nose supports fixtures at the package, module, class, and test case levels, so that initialization which can be expensive is done as infrequently as possible.	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
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 Group fixtures are allowed with nose, where a multitest state can be defined.	Yes It supports group fixtures
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.	Through use of third party libraries like test-generator and from the 'unittest.TestCase' library	N/A
Licence Licence type governing the use and redistribution of the software	GNU Library or Lesser General Public License (LGPL) (GNU LGPL)	FreeBSD 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)	Yes The nose library extends the built-in Python unittest module therefore has access to unittest.mock	N/A
Grouping Allows organizing tests in groups	Yes With nose it collects tests automatically and there’s no need to manually collect test cases into test suites.	Yes There is a function that allows you to group tests, the 'doh.register(...)' function. It's most commonly used for registering Unit Tests
Other Other useful information about the testing framework