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