Lettuce vs Test::Unit comparison of testing frameworks
What are the differences between Lettuce and Test::Unit?

	Lettuce https://pypi.org/project/lettuce/	Test::Unit https://test-unit.github.io/
Programming language	Python	Ruby
Category	Unit Testing, Acceptance Testing	Unit Testing, Intergration 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	Test::Unit is a unit testing framework for Ruby Test::Unit is an implementation of the xUnit testing framework for ruby which is used for Unit Testing. However Test::Unit has been left in the standard library to support legacy test suites therefore if you are writing new test code use Minitest instead of Test::Unit
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 test-unit is a xUnit family unit testing framework for Ruby
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	It could have tested some front-end components but its now legacy hence wouldn't work with the many new front-end components
Server-side Allows testing the bahovior of a server-side code	Yes Lettuce can test various server and database behaviours and interactions	Yes
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 Fixture methods are available through its ClassMethods Module
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 fixture methods are supported
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	No
Licence Licence type governing the use and redistribution of the software	Unknown	LGPLv2.1, Ruby Licence
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.	No
Grouping Allows organizing tests in groups	Yes It allows grouping of tests	No
Other Other useful information about the testing framework