NaturalSpec vs Fuchu comparison of testing frameworks
What are the differences between NaturalSpec and Fuchu?

	NaturalSpec https://www.nuget.org/packages/NaturalSpec/	Fuchu https://github.com/mausch/Fuchu
Programming language	.NET	.NET
Category	Unit Testing	Unit Testing
General info	NaturalSpec is a .NET Unit testing framework NaturalSpec is a .NET UnitTest framework which provides automatically testable specs in natural language. NaturalSpec is based on NUnit and completely written in F# - you don't have to learn F# to use it.	Fuchu is functional test library for F# / C# / VB.NET Fuchu is a test library for .NET, that supports C# and VB.NET but with a special focus on F#. It draws heavily from Haskell's test-framework and HUnit.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	No
Client-side Allows testing code execution on the client, such as a web browser	Yes You can test front-end components with NaturalSpecit. It is a Unit testing framework therefore you can test front-end modules and classes independently	Yes You can test front-end components by testing individual front-end classes and modules
Server-side Allows testing the bahovior of a server-side code	Yes You can test back-end components with NaturalSpec. It is a Unit testing framework therefore you can test back-end modules and classes independently	Yes You can test back-end components by testing individual back-end classes and modules
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 It can do TestFixtureSetups (SetUp/TearDown), but not TestFixtureTearDowns (not unless you treat that test suite separately)
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	Yes Group fixtures are available in Fuchu
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	Apache License 2.0
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 Mocks are available through third party libraries like Moq	Yes You can create mock objects using the third party library moq
Grouping Allows organizing tests in groups	N/A	Yes You can organize tests in suites and give them names
Other Other useful information about the testing framework