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

Kahlan

https://github.com/kahlan/kahlan

Selenium

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

PHP

Python

Category

Unit Testing

Web Automation

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

Selenium is an open source tool used to test web applications

Selenium is a powerful testing tool which can send standard Python commands to different browsers, despite variations in browser design. It also provides extensions to emulate user interaction with browsers, a distribution server for scaling browser allocation, and the infrastructure for implementations of the W3C WebDriver specification that lets you write interchangeable code for all major web browsers
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

It is primarily a browser automation tool which tests front-end components and functionality
Server-side
Allows testing the bahovior of a server-side code

Yes

You can test individual back-end components using Kahlan

Yes

It can perform Unit tests and can test various components and behaviours in the backend using a BDD or TDD approach
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 writing your Selenium WebDriver tests in PyTest, this gives you access to Pytest's powerful fixture model
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

Yes

One can group fixtures if accessing Pytest's fixture model
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 such as Faker or Fake-factory
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)

Yes

It includes support for mocking
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

Yes

By using the TestNG feature with which we can create groups and maintain them easily
Other
Other useful information about the testing framework