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

	JBehave https://jbehave.org/	Fixie http://fixie.github.io/
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	Fixie is a .NET test framework similar to NUnit and xUnit Fixie allows test methods to be created and executed like other test frameworks, but takes a takes a conventions-based approach, which is a benefit as we do not need to use attributes to mark classes and methods as tests
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	Yes fixie is an xUnit type testing framework
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 unit test front-end components of youra pplications with fixie
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 unit test back-end components of your applications with fixie
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 Yes, fixie has fixture methods for setting up tests and at the end of tests to destroy them
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	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.	No	N/A
Licence Licence type governing the use and redistribution of the software	BSD-style 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)	The best way to mock is to use third party libraries like Mockito, Jmock or Jmockit	N/A
Grouping Allows organizing tests in groups	N/A	Yes You can group tests into suites
Other Other useful information about the testing framework