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

Lettuce

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

Fuchu

https://github.com/mausch/Fuchu
Programming language

Python

.NET

Category

Unit Testing, Acceptance Testing

Unit Testing

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

Fuchu is functional test library for F# / C# / VB.NET

Fuchu is a test library for .NET, that supports C# and VB.NET but with a special focus on F#. It draws heavily from Haskell's test-framework and HUnit.
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

You can test front-end components by testing individual front-end classes and modules
Server-side
Allows testing the bahovior of a server-side code

Yes

Lettuce can test various server and database behaviours and interactions

Yes

You can test back-end components by testing individual back-end classes and modules
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

It can do TestFixtureSetups (SetUp/TearDown), but not TestFixtureTearDowns (not unless you treat that test suite separately)
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

Group fixtures are available in Fuchu
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

N/A

Licence
Licence type governing the use and redistribution of the software

Unknown

Apache License 2.0

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

You can create mock objects using the third party library moq
Grouping
Allows organizing tests in groups

Yes

It allows grouping of tests

Yes

You can organize tests in suites and give them names
Other
Other useful information about the testing framework