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

Quick

https://github.com/quick/quick

unittest

https://docs.Python.org/3/library/unittest.html
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.

unittest is a unit testing framework for Python

The unittest test framework is Python’s xUnit style framework. It is a standard module that is bundled with Python and supports the automation and aggregation of tests and common setup and shutdown code for them.
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

Yes

unittest is a xUnit style frameworkfor Python, it was previously called PyUnit.
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

Front-end functionality and behaviour can be tested by unittest.
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

Since the webserver funtionalities have their own features and each feature has its own functions, we can write tests with unittest to test each function
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 use of the 'setUp()' function which is called to prepare the test fixture
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

unittest allows you to group your initialization code into a setUp function and clean up code in a tearDown function
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

unittest contains generator methods in the module 'unittest.TestCase'
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

Mocks are available from the library unittest.mock which allows you to replace parts of your system under test with mock objects
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

One can build suites either manually or use test discovery to build the suite automatically by scanning a directory
Other
Other useful information about the testing framework