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

Fixie

http://fixie.github.io/

Unitils

http://www.unitils.org/summary.html
Programming language

.NET

Java

Category

Unit Testing

Unit Testing, Intergration 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

Unitils is an open source library whose goal is to make unit and integration testing easy and maintainable.

Unitils is divided into modules, each of them providing support for a certain aspect of your unit and integration tests. For example if you need mocking for your tests, just include unitils-mock as a dependency, If you would also want to load DbUnit data sets, just include unitils-dbunit
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 perform unit tests on various components and functionality that make up the front-end
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

Unitils provides support for testing the back-end through modules such as DbUnit which specifically tests your database, i.e connections setup and so on
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

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

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

Licence
Licence type governing the use and redistribution of the software

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

Other
Other useful information about the testing framework