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

	Lettuce https://pypi.org/project/lettuce/	Fixie http://fixie.github.io/
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	Fixie is a .NET test framework similar to NUnit and xUnit Fixie allows test methods to be created and executed like other test frameworks, but takes a takes a conventions-based approach, which is a benefit as we do not need to use attributes to mark classes and methods as tests
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	Yes fixie is an xUnit type testing framework
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 unit test front-end components of youra pplications with fixie
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 unit test back-end components of your applications with fixie
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 Yes, fixie has fixture methods for setting up tests and at the end of tests to destroy them
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	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.	Yes By using a third party library	N/A
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.	N/A
Grouping Allows organizing tests in groups	Yes It allows grouping of tests	Yes You can group tests into suites
Other Other useful information about the testing framework