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

QUnit

https://qunitjs.com/

Lettuce

https://pypi.org/project/lettuce/
Programming language

JavaScript

Python

Category

Unit Testing

Unit Testing, Acceptance Testing

General info

QUnit is a JS Unit testing framework.

QUnit is especially useful for regression testing of jQuery, jQuery UI and jQuery Mobile projects

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

Yes, it is a xUnit style 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

QUnit is commonly used by jQuery, jQuery UI and jQuery Mobile It can test front-end components and functionality

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

Qunit can test any JavaScript code(including itself), this includes server-side components and functionality. Supports NodeJs

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

By using the qunit-fixture element which is a container for some HTML that your tests can assert against.

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.

Yes

You can group fixtures together with QUnit

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
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)

You can use third party libraries like jQuery's Mockjax plugin

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 use the QUnit.module() function to group tests together

Yes

It allows grouping of tests
Other
Other useful information about the testing framework