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

Kahlan

https://github.com/kahlan/kahlan

stestr

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

PHP

Python

Category

Unit Testing

Unit Testing

General info

Kahlan is a full-featured BDD testing framework

It is a full-featured BDD testing framework that embraces the KISS (Keep It Simple, Stupid) design principle. Kahlan makes it possible to write unit tests using the 'describe-it' syntax and requires at least PHP 5.5

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.

No

No

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

Yes

Kahlan allows you to test front-end components and behaviour easily

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 test individual back-end components using Kahlan

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

Yes

Fixtures can be defined by use of 'setUp()'method and cleaned using the 'tearDown()'method

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.

Yes

You can write group fixtures

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)

Yes

With Kahlan's stubbing system you are able to set stubs (like mocks) directly to your class methods (dynamic mocking)

N/A

Grouping
Allows organizing tests in groups

Yes

Kahlan allows you to group tests syntactically using a closure syntax. It has describe and context methods for grouping

N/A

Other
Other useful information about the testing framework