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

	JBehave https://jbehave.org/	Fuchu https://github.com/mausch/Fuchu
Programming language	Java	.NET
Category	Acceptance Testing	Unit Testing
General info	JBehave is a Behaviour-Driven Development testing framework for java JBehave is a Behaviour Driven Development framework. It intends to provide an intuitive and accessible way for automated acceptance testing	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 behaviour (scenarios) with JBehave	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	JBehave tests scenarios and behaviours of components, it can test back-end behaviour	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	Yes You have a few options for using fixtures in JBehave: you can run your steps before/after each scenario by using LifeCycle: you can use @BeforeStory and @AfterStory annotations or you can define a dummy scenario with your setup/teardown steps	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.	Yes You can define group fixtures with JBehave	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.	No	N/A
Licence Licence type governing the use and redistribution of the software	BSD-style 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)	The best way to mock is to use third party libraries like Mockito, Jmock or Jmockit	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