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

	Lettuce https://pypi.org/project/lettuce/	wru https://github.com/WebReflection/wru
Programming language	Python	JavaScript
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	wru is an essential general purpose test framework compatible with web environment, node.js, Rhino, and now PhantomJS too. wru is compatible with basically all possible browsers out there included IE5.5, IE6, IE7, IE8, IE9, IE10, Chrome, Firefox, Safari, Webkit based, Mobile Browsers, and Opera. On server side wru is compatible with latest node.js, Rhino, PhantomJS, and JavaScriptCore versions.
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 Wru is compatible with xUnit
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 Wru tests front-end components and functions, it is compatible with HTML and runs on probably all browsers
Server-side Allows testing the bahovior of a server-side code	Yes Lettuce can test various server and database behaviours and interactions	Yes It is used to test back-end components and behaviour and runs in server environments
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	N/A	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.	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.	You can implement your stubs and mocks using a wru.assert(...) when necessary during a specific test.
Grouping Allows organizing tests in groups	Yes It allows grouping of tests	N/A
Other Other useful information about the testing framework