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

stestr

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

Lighttest

http://asvd.github.io/lighttest
Programming language

Python

JavaScript

Category

Unit Testing

Unit Testing

General info

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.

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

N/A

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

Yes

Stestr being a test runner that runs unittest tests, it can test fron-tend functionality and 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

Stestr being a test runner that runs unittest tests, it can run back-end tests for functionality and behaviour.

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

Yes

By use of a third party library like Fixture

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.

By use of a third party library like Fixture

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 library like test-generator

N/A

Licence
Licence type governing the use and redistribution of the software

Apache License 2.0

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)

N/A

N/A

Grouping
Allows organizing tests in groups

N/A

N/A

Other
Other useful information about the testing framework