Doctest vs Sleipnir comparison of testing frameworks
What are the differences between Doctest and Sleipnir?

	Doctest https://docs.Python.org/2/library/doctest.html	Sleipnir https://github.com/railsware/Sleipnir
Programming language	Python	Swift
Category	Unit Testing	Unit Testing, Acceptance Testing
General info	Doctest is an inbuilt test framework for Python Doctest is a test framework that comes prepackaged with Python. It is a simple library with a functionality that makes it possible to search for pieces of text that look like interactive Python sessions and executes these sessions to see if they work exactly as shown.	Sleipnir is a BDD-style framework for Swift Sleipnir is a pure Swift BDD testing framework inspired by cedar, that is not dependent on NSObject, and does not use XCTest. Sleipnir has nice command line output and support for custom test reporters and other features, like seeded random tests invocation, focused and excluded examples/groups
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	N/A
Client-side Allows testing code execution on the client, such as a web browser		Yes You can test front-end behaviour by defining specifications for classes, objects and functions
Server-side Allows testing the bahovior of a server-side code		Yes You can test back-end behaviour by defining specifications for classes, objects and functions in the back-end
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	No Lacks fixture management which can make writing tests harder	Yes Fixtures are available by using beforeEach{ } and afterEach{ } to setup the test parameters
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.	No Lacks fixture management	Yes Group fixtures are available through the beforeAll{} and afterAll{} blocks to setup group fixtures
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)	A good external library for using Mocks with Doctest is minimocks	Yes Yes, developers can create mock objects with sleipnir using a third party library like Cuckoo.
Grouping Allows organizing tests in groups	Yes One can group tests	Yes You can declare example groups with Slepnir
Other Other useful information about the testing framework