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

Green

https://github.com/CleanCut/green

Cedar

https://github.com/cedarbdd/cedar
Programming language

Python

Swift

Category

Unit Testing

Unit Testing

General info

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)

Cedar is a BDD-style testing for swift using Objective-C

Cedar is a BDD-style Objective-C/Swift testing framework that has an expressive matcher DSL and convenient test doubles (mocks). It provides better organizational facilities than the tools provided by XCTest/OCUnit In environments where C++ is available, it provides powerful built-in matchers, test doubles and fakes
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

Yes

Cedar is an xUnit style framework
Client-side
Allows testing code execution on the client, such as a web browser

Yes

It can test front-end components of the django framework

Yes

You can test front-end components and behaviour with Cedar, its language is biased towards describing the behavior of your objects.
Server-side
Allows testing the bahovior of a server-side code

Yes

It can test server-side behaviours of web applications written with Python

Yes

You can test back-end components with a bias towards their expected behaviour. Cedar specs also allow you to nest contexts so that it is easier to understand how your object behaves in different scenarios
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

N/A

Yes

Cedar has beforeEach and afterEach class methods which Cedar will look for on every class it loads. You can add these onto any class you compile into your specs and Cedar will run them
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.

N/A

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

MIT License

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

Through the use of Python's mock library

Yes

Cedar contains inbuilt mock/test double functionality
Grouping
Allows organizing tests in groups

N/A

Yes

Cedar supports shared example groups. You can declare them in one of two ways: either inline with your spec declarations, or separately.
Other
Other useful information about the testing framework