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

	Lettuce https://pypi.org/project/lettuce/	Lighttest http://asvd.github.io/lighttest
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	Lighttest is a JavaScript unit-testing library — it works both in browsers and under Node.js, supports flow control, and is focused on keeping the tests clear. Lighttest keeps tests clear by using a minimal syntax of the test cases, and the only testing function, lighttest.check(), is used to indicate a success or a failure. Any testing behaviour can be implemented using this function JavaScript natively meaning no additional testing API is required.
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	N/A
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 Light Test works in the browser to test client side components and behaviours
Server-side Allows testing the bahovior of a server-side code	Yes Lettuce can test various server and database behaviours and interactions	Yes Light Test works with NodeJs to test back-end environments behaviours and components in short it can test any behaviour in the back-end as well as the front-end
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.	N/A
Grouping Allows organizing tests in groups	Yes It allows grouping of tests	N/A
Other Other useful information about the testing framework