unittest vs TwistedTrial comparison of testing frameworks
What are the differences between unittest and TwistedTrial?

	unittest https://docs.Python.org/3/library/unittest.html	TwistedTrial https://twistedmatrix.com/trac/wiki/TwistedTrial
Programming language	Python	Python
Category	Unit Testing	Unit Testing, unittest Extensions
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.	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.	Yes unittest is a xUnit style frameworkfor Python, it was previously called PyUnit.	No
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 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 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 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	Yes By use of the 'setUp()' function which is called to prepare the test fixture	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 unittest allows you to group your initialization code into a setUp function and clean up code in a tearDown function	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.	Yes unittest contains generator methods in the module 'unittest.TestCase'	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)	Yes Mocks are available from the library unittest.mock which allows you to replace parts of your system under test with mock objects	Yes Trial can access the mock library inbuilt in python for mocking purposes
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 Trial allows tests to be grouped into test packages
Other Other useful information about the testing framework