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

	Quick https://github.com/quick/quick	Selenium https://pypi.org/project/selenium/
Programming language	Swift	Python
Category	Acceptance Testing, Unit Testing	Web Automation
General info	Quick is a Swift (and Objective-C) testing framework. Quick is a behavior-driven development framework for Swift and Objective-C that is inspired by RSpec, Specta, and Ginkgo. Quick comes bundled with Nimble a matcher framework for your tests.	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.	Yes Yes, it is an xUnit style test framework	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Developers can test front-end behaviour and components by defining front-end feature specifications	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 Developers can test back-end behaviour and components by defining back-end feature specifications	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 Quick contains fixture methods setup() and teardown() for setting up and destroying test environments	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 Yes, example groups (logical groupings of examples/tests) can share setup and teardown code	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	Apache License 2.0	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 Yes, developers can create mock objects with Quick using the Cuckoo library	Yes It includes support for mocking
Grouping Allows organizing tests in groups	Yes In Quick test suites are named Specs, and every test suite you create starts off with a class inheriting from QuickSpec includes a main method, spec() which contains all the test cases.	Yes By using the TestNG feature with which we can create groups and maintain them easily
Other Other useful information about the testing framework