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

	Kahlan https://github.com/kahlan/kahlan	Python Testify https://github.com/Yelp/Testify
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	A Python unit testing framework modelled after unittest Testify is modelled after unittest but has more features while still supporting unittest classes. It has more pythonic naming conventions, an better test runner output visually, a decorator-based approach to fixture methods among many other features
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 Front-end functionality and behaviour can be tested by Testify.
Server-side Allows testing the bahovior of a server-side code	Yes You can test individual back-end components using Kahlan	Yes Testify can test various server and database behaviours and functionality
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 Fixture methods are supported and it follows a decorator based approach, that is they are written similar to decorators
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 Group fixtures are supported
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 One can create generator methods to yield runnable test methods which will pick out the test methods from your TestCases, and then exclude any in any of your exclude_suites method.If there are any require_suites, it will then further limit itself to test methods in those suites.
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 the turtle mock object library
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 Testify includes support for detecting and running test suites, grouped by modules, classes, or individual test methods.
Other Other useful information about the testing framework