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

	Fixie http://fixie.github.io/	Lettuce https://pypi.org/project/lettuce/
Programming language	.NET	Python
Category	Unit Testing	Unit Testing, Acceptance Testing
General info	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	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
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	Yes fixie is an xUnit type testing framework	No However It can generate xml results for behaviour tests xUnit style
Client-side Allows testing code execution on the client, such as a web browser	Yes You can unit test front-end components of youra pplications with fixie	Yes By integrating Lettuce with Selenium’s Python bindings, you have a robust framework for testing Django applications. It can test front-end behaviour
Server-side Allows testing the bahovior of a server-side code	Yes You can unit test back-end components of your applications with fixie	Yes Lettuce can test various server and database behaviours and interactions
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes Yes, fixie has fixture methods for setting up tests and at the end of tests to destroy them	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.	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.	N/A	Yes By using a third party library
Licence Licence type governing the use and redistribution of the software	MIT License	Unknown
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	By adding the lettuce-tools library one has access to the Mock module to implement a configurable http REST mock.
Grouping Allows organizing tests in groups	Yes You can group tests into suites	Yes It allows grouping of tests
Other Other useful information about the testing framework