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

Nose

https://nose.readthedocs.io/en/latest/

Cedar

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

Python

Swift

Category

Unit Testing, unittest Extensions

Unit Testing

General info

Nose is a Python unit test framework

This is a Python unit test framework that intergrates well with doctests, unnittests, and 'no-boilerplate tests', that is tests written from scratch without a specific boilerplate.

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

nose is a unit testing tool which is very similar to unittest. It is basically unittest with extensions therefore just like unittest is can test front-end components and behaviour

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

Nose can test back-end components and functionality as small units. One can write tests for each function that provides back-end functionality

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

Yes

nose supports fixtures at the package, module, class, and test case levels, so that initialization which can be expensive is done as infrequently as possible.

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.

Yes

Group fixtures are allowed with nose, where a multitest state can be defined.

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.

Through use of third party libraries like test-generator and from the 'unittest.TestCase' library

N/A

Licence
Licence type governing the use and redistribution of the software

GNU Library or Lesser General Public License (LGPL) (GNU LGPL)

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

The nose library extends the built-in Python unittest module therefore has access to unittest.mock

Yes

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

Yes

With nose it collects tests automatically and there’s no need to manually collect test cases into test suites.

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