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

Artos

https://www.theartos.com/

stestr

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

Java

Python

Category

Functional Testing, End-to-End Testing, Unit Testing

Unit Testing

General info

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.

stestr is a Python test runner designed to execute unittest test suites

stestr executes unittest test suites by using multiple processes to split up execution of a test suite then stores a history of all test runs to help in debugging failures and optimizing the scheduler to improve speed.
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

Yes

It is a xUnit style framework

No

Client-side
Allows testing code execution on the client, such as a web browser

Yes

With Artos you can perform unit tests on front-end components

Yes

Stestr being a test runner that runs unittest tests, it can test fron-tend functionality and behaviour.
Server-side
Allows testing the bahovior of a server-side code

Yes

You can unit test server side behaviours and functionalities by testing specific back-end classes and functions

Yes

Stestr being a test runner that runs unittest tests, it can run back-end tests for functionality and behaviour.
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

N/A

Yes

By use of a third party library like Fixture
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

By use of a third party library like Fixture
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.

N/A

Yes

By using a library like test-generator
Licence
Licence type governing the use and redistribution of the software

MIT License

Apache License 2.0

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 a third party library like mockito

N/A

Grouping
Allows organizing tests in groups

Yes

Artos allows creation of test suites and they are run by use of a test script

N/A

Other
Other useful information about the testing framework