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

Lettuce

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

Artos

https://www.theartos.com/
Programming language

Python

Java

Category

Unit Testing, Acceptance Testing

Functional Testing, End-to-End 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

Artos is an opensource BDD testing framework for writing Unit, Intergration and Functional tests

Artos includes pre-configured logging framework and extent reports, utilities to write flow for manual/semi-automated testing and supports BDD testing using cucumber scripts.
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

It is a xUnit style framework
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

With Artos you can perform unit tests on 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

You can unit test server side behaviours and functionalities by testing specific back-end classes and functions
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 use a third party library like mockito
Grouping
Allows organizing tests in groups

Yes

It allows grouping of tests

Yes

Artos allows creation of test suites and they are run by use of a test script
Other
Other useful information about the testing framework