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

	unexpected http://unexpected.js.org/	Fuchu https://github.com/mausch/Fuchu
Programming language	JavaScript	.NET
Category	Unit Testing	Unit Testing
General info	An extensible BDD assertion toolkit Unexpected is an extensible BDD assertion toolkit that is compatible with all test frameworks,is Node.js ready (require('unexpected')) and supports asynchronous assertions using promises among other features. It can be used with any test runner that catches exceptions, but the developer recommends Mocha, Jest or Jasmine as they are integrated tested with every release	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.	N/A	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Unexpected can be used in a browser environment to test front-end components and functionality	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 Unexpected is used in a Node.JS environment to test server behaviour and functionality	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)	N/A	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