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

Fuchu

https://github.com/mausch/Fuchu

HavaRunner

https://github.com/havarunner/havarunner
Programming language

.NET

Java

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.

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.

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 functionality and components with havarunner
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

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

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

Grouping
Allows organizing tests in groups

Yes

You can organize tests in suites and give them names

Yes

You can group your tests by annotating them as @PartOf a suite
Other
Other useful information about the testing framework