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

Crosscheck

https://github.com/cross-check/cross-check

TwistedTrial

https://twistedmatrix.com/trac/wiki/TwistedTrial
Programming language

JavaScript

Python

Category

Unit Testing

Unit Testing, unittest Extensions

General info

Crosscheck is a JavaScript unit-testing framework capable of emulating multiple browser environments

Crosscheck is an open source testing framework for verifying your in-browser JavaScript. It helps you ensure that your code will run in many different browsers such as Internet Explorer, Chrome and Firefox, but without needing installations of those browsers. The only thing you need is a Java Virtual Machine.

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

No

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

Crosscheck is used to verify in-browser JavaScript and is a headless test framework, it tests back-end components and functionality

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

N/A

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.

N/A

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

N/A

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)

N/A

Yes

Trial can access the mock library inbuilt in python for mocking purposes
Grouping
Allows organizing tests in groups

N/A

Yes

Trial allows tests to be grouped into test packages
Other
Other useful information about the testing framework