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

	Python Testify https://github.com/Yelp/Testify	Codedeception https://codeception.com/
Programming language	Python	PHP
Category	Unit Testing	Unit Testing, Acceptance Testing/Functional Testing
General info	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	Codeception is a full-stack testing framework for PHP It is inspired by BDD and provides a way of writing acceptance, functional and even unit tests. It is powered by PHPUnit.
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 Front-end functionality and behaviour can be tested by Testify.	Yes One is able to write acceptance tests which are used to look at functionality from a user's perspective. It is able to look at pages in browser (Chrome, Firefox or PhpBrowser)
Server-side Allows testing the bahovior of a server-side code	Yes Testify can test various server and database behaviours and functionality	Yes It supports back-end tests, by writing functionaltests one can be able to test server behaviour
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes Fixture methods are supported and it follows a decorator based approach, that is they are written similar to decorators	Yes One can define a fixture and write the test with Codedeception, use the yii2-codedeceptionextention which will autoload fixtures for you
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 Group fixtures are supported	Yes One can define group fixtures
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 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.	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)	Yes It includes the turtle mock object library	Yes Codeception provides Codeception\Stub library for building mocks and stubs for tests
Grouping Allows organizing tests in groups	Yes Testify includes support for detecting and running test suites, grouped by modules, classes, or individual test methods.	Yes Codeception consists of three so-called “suites”: A “unit suite” for all unit tests, a “functional suite” for all functional tests, and an “acceptance suite” for all acceptance tests.
Other Other useful information about the testing framework