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

	Quick https://github.com/quick/quick	Green https://github.com/CleanCut/green
Programming language	Swift	Python
Category	Acceptance Testing, Unit Testing	Unit Testing
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.	Green is a clean, colorful, fast Python test runner This is a test runner that has pretty printing on output that makes results easy to read and understand. Some of its features include: Tests running in independent processes (fast), low redundancy in output (clean), supports pretty printing that is the terminal output, makes good use of color when the terminal supports it (colorful)
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 can test front-end components of the django framework
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 test server-side behaviours of web applications written with Python
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	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 Yes, example groups (logical groupings of examples/tests) can share setup and teardown code	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.	N/A	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 Yes, developers can create mock objects with Quick using the Cuckoo library	Yes Through the use of Python's mock library
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.	N/A
Other Other useful information about the testing framework