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

	mocha-parallel-tests https://www.npmjs.com/package/mocha-parallel-tests	TwistedTrial https://twistedmatrix.com/trac/wiki/TwistedTrial
Programming language	JavaScript	Python
Category	Unit Testing, Intergration Testing, End-to-End Testing	Unit Testing, unittest Extensions
General info	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	Trial is a unit testing framework for Python built by Twisted Matrix labs Trial is composed of two parts: First is a command-line test runner, which can be run on plain Python unit tests and can do automated unit-test discovery across files, modules, or even arbitrarily nested packages. Second is a test library, derived from Python's 'unittest.TestCase'
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	N/A	No
Client-side Allows testing code execution on the client, such as a web browser	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.	Yes Front-end components can be tested for example adding a web front-end using simple twisted.web.resource.Resource objects
Server-side Allows testing the bahovior of a server-side code	Yes Mocha-parallel-tests provides convenient ways of testing the Node server.	Yes Server-side behaviour can be tested with Trial, it has various functions for this in the twisted.web.Resource package
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	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	Yes Trial supports various fixture methods such as 'setUp()' and 'tearDown' functions fixture for normal semantics of setup, and teardown
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 available	Yes Methods like 'setUp()' allow for creation of 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.	N/A	Through use of third party libraries like test-generator.
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)	Provides Mocking capabilities through third party Libraries like sinon.js, simple-mock and nock	Yes Trial can access the mock library inbuilt in python for mocking purposes
Grouping Allows organizing tests in groups	Yes Grouping is supported and is accomplished by the using a nested 'describe()'	Yes Trial allows tests to be grouped into test packages
Other Other useful information about the testing framework