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

	Fixie http://fixie.github.io/	HavaRunner https://github.com/havarunner/havarunner
Programming language	.NET	Java
Category	Unit Testing	Unit Testing
General info	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	HavaRuner is a Java test framework with built-in concurrency support, suites and scenarios HavaRunner is a Java test framework that has built in support for concurrency and enables you to create suites. You can run the same test against multiple scenarios and speeds up development cycles with faster tests.HavaRunner is a JUnit runner, which means that it is built on top of JUnit it's fairly straightforward to adopt it in a codebase that already has JUnit tests.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	Yes fixie is an xUnit type testing framework	No
Client-side Allows testing code execution on the client, such as a web browser	Yes You can unit test front-end components of youra pplications with fixie	Yes You can test front-end functionality and components with havarunner
Server-side Allows testing the bahovior of a server-side code	Yes You can unit test back-end components of your applications with fixie	Yes HavaRunner is able to test server side functions and components
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes Yes, fixie has fixture methods for setting up tests and at the end of tests to destroy them	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.	N/A	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	MIT 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)	N/A
Grouping Allows organizing tests in groups	Yes You can group tests into suites	Yes You can group your tests by annotating them as @PartOf a suite
Other Other useful information about the testing framework