TwistedTrial vs Wallaby.js comparison of testing frameworks
What are the differences between TwistedTrial and Wallaby.js?

	TwistedTrial https://twistedmatrix.com/trac/wiki/TwistedTrial	Wallaby.js https://wallabyjs.com/
Programming language	Python	JavaScript
Category	Unit Testing, unittest Extensions	Unit Testing
General info	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'	Wallaby.js is an integrated continuous testing tool for JavaScript. Wallaby.js runs your tests immediately as you change your code (you don’t even have to save the file) and reports code coverage and other results directly to your code editor. Its also uses various techniques such as dependency analysis to only execute tests affected by your code changes and parallel test execution to ensure your tests run as fast as possible.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	N/A
Client-side Allows testing code execution on the client, such as a web browser	Yes Front-end components can be tested for example adding a web front-end using simple twisted.web.resource.Resource objects	Yes Wallaby.js can test front-end components and functionality
Server-side Allows testing the bahovior of a server-side code	Yes Server-side behaviour can be tested with Trial, it has various functions for this in the twisted.web.Resource package	Yes Wallaby.js can test server 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 Trial supports various fixture methods such as 'setUp()' and 'tearDown' functions fixture for normal semantics of setup, and teardown	N/A
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 Methods like 'setUp()' allow for creation of group fixtures	N/A
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.	N/A
Licence Licence type governing the use and redistribution of the software	MIT License	N/A
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 Trial can access the mock library inbuilt in python for mocking purposes	By use of a third party library Jest works well with wallaby
Grouping Allows organizing tests in groups	Yes Trial allows tests to be grouped into test packages
Other Other useful information about the testing framework