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

HavaRunner

https://github.com/havarunner/havarunner

csUnit

http://www.csunit.org/
Programming language

Java

.NET

Category

Unit Testing

Unit Testing

General info

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.

csUnit is an open source unit testing tool for the .NET Framework

csUnit is designed to work with any .NET compliant language. It has specifically been tested with C#, Visual Basic .NET, Managed C++, and J#
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

Yes

csUnit is an xUnit type testing framework and follows xUnit concepts
Client-side
Allows testing code execution on the client, such as a web browser

Yes

You can test front-end functionality and components with havarunner

Yes

You can unit test front-end components of your applications with csUnit
Server-side
Allows testing the bahovior of a server-side code

Yes

HavaRunner is able to test server side functions and components

Yes

You can unit test back-end components of your applications with csUnit
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

csUnit has fixture methods such as setup and teardown methods
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 csUnit
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

zlib 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)

You can write your own mock objects manually
Grouping
Allows organizing tests in groups

Yes

You can group your tests by annotating them as @PartOf a suite

Yes

It contains recipes for combining several test assemblies into one test suite
Other
Other useful information about the testing framework