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