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unittest vs mocha-parallel-tests comparison of testing frameworks
What are the differences between unittest and mocha-parallel-tests?

unittest

https://docs.Python.org/3/library/unittest.html

mocha-parallel-tests

https://www.npmjs.com/package/mocha-parallel-tests
Programming language

Python

JavaScript

Category

Unit Testing

Unit Testing, Intergration Testing, End-to-End Testing

General info

unittest is a unit testing framework for Python

The unittest test framework is Python’s xUnit style framework. It is a standard module that is bundled with Python and supports the automation and aggregation of tests and common setup and shutdown code for them.

mocha-parallel-tests is a test runner for tests written with mocha testing framework.

mocha-parallel-tests allows you to run your tests in parallel and executes each of your test files in a separate process while still maintaining the output of mocha
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

Yes

unittest is a xUnit style frameworkfor Python, it was previously called PyUnit.

N/A

Client-side
Allows testing code execution on the client, such as a web browser

Yes

Front-end functionality and behaviour can be tested by unittest.

Yes

Mocha-parallel-tests Runs in the browser and is used widely to test front-end components and functionality. It can test various DOM elements, front-end functions and so on.
Server-side
Allows testing the bahovior of a server-side code

Yes

Since the webserver funtionalities have their own features and each feature has its own functions, we can write tests with unittest to test each function

Yes

Mocha-parallel-tests provides convenient ways of testing the Node server.
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 the 'setUp()' function which is called to prepare the test fixture

Mocha, which is the the framework which mocha-parallel-tests runs provides the hooks before(), after(), beforeEach(), and afterEach() to set up preconditions and clean up after your tests
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

unittest allows you to group your initialization code into a setUp function and clean up code in a tearDown function

Yes

Group fixtures are available
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

unittest contains generator methods in the module 'unittest.TestCase'

N/A

Licence
Licence type governing the use and redistribution of the software

MIT License

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)

Yes

Mocks are available from the library unittest.mock which allows you to replace parts of your system under test with mock objects

Provides Mocking capabilities through third party Libraries like sinon.js, simple-mock and nock
Grouping
Allows organizing tests in groups

Yes

One can build suites either manually or use test discovery to build the suite automatically by scanning a directory

Yes

Grouping is supported and is accomplished by the using a nested 'describe()'
Other
Other useful information about the testing framework