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

Lettuce

https://pypi.org/project/lettuce/

TwistedTrial

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

Python

Python

Category

Unit Testing, Acceptance Testing

Unit Testing, unittest Extensions

General info

Lettuce is a BDD testing tool for Python

Lettuce is a testing tool for Python which is inspired by Ruby's Cucumber that supports Gherkin. It can execute plain-text functional descriptions as automated tests for Python projects just like Cucumber does for Ruby

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.

No

However It can generate xml results for behaviour tests xUnit style

No

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

Yes

By integrating Lettuce with Selenium’s Python bindings, you have a robust framework for testing Django applications. It can test front-end behaviour

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

Lettuce can test various server and database behaviours and interactions

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.

Yes

By using a third party library

Through use of third party libraries like test-generator.
Licence
Licence type governing the use and redistribution of the software

Unknown

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)

By adding the lettuce-tools library one has access to the Mock module to implement a configurable http REST mock.

Yes

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

Yes

It allows grouping of tests

Yes

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