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

Python Testify

https://github.com/Yelp/Testify

Suitest

https://github.com/SuitestAutomation/suitest-js-api
Programming language

Python

JavaScript

Category

Unit Testing

End-to-End Testing, Browser Automation

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

Suitest is a freemium test automation tool specially designed for Smart/AndroidApple TV, XBOX, PlayStation4 and websites

Suitest provides the codeless visual test editor on it's platform to easily create the automation scripts without any knowledge of programming languages. You can also see the version and result history. And Test execution is pretty fast
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

No

No, Since Suitest has a created custom framework service to test the apps on TV, Gaming consoles and website
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

Suitetest allows for testing front-end components and functionality, it is a browser automation tool after all.
Server-side
Allows testing the bahovior of a server-side code

Yes

Testify can test various server and database behaviours and functionality

Yes

Since it performs end-to-end testing this includes critical functionalities like database/server connections, communications and other server-side functionalities
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

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.

Yes

Group fixtures are supported

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

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

Mocks are available
Grouping
Allows organizing tests in groups

Yes

Testify includes support for detecting and running test suites, grouped by modules, classes, or individual test methods.

You can create suites in suitetest
Other
Other useful information about the testing framework