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

Fuchu

https://github.com/mausch/Fuchu

NaturalSpec

https://www.nuget.org/packages/NaturalSpec/
Programming language

.NET

.NET

Category

Unit Testing

Unit Testing

General info

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.

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.
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 by testing individual front-end classes and modules

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
Server-side
Allows testing the bahovior of a server-side code

Yes

You can test back-end components by testing individual back-end classes and modules

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
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

Yes

It can do TestFixtureSetups (SetUp/TearDown), but not TestFixtureTearDowns (not unless you treat that test suite separately)

N/A

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 available in Fuchu

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

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

You can create mock objects using the third party library moq

Yes

Mocks are available through third party libraries like Moq
Grouping
Allows organizing tests in groups

Yes

You can organize tests in suites and give them names

N/A

Other
Other useful information about the testing framework