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

Unitils

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

unexpected

http://unexpected.js.org/
Programming language

Java

JavaScript

Category

Unit Testing, Intergration Testing

Unit Testing

General info

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

An extensible BDD assertion toolkit

Unexpected is an extensible BDD assertion toolkit that is compatible with all test frameworks,is Node.js ready (require('unexpected')) and supports asynchronous assertions using promises among other features. It can be used with any test runner that catches exceptions, but the developer recommends Mocha, Jest or Jasmine as they are integrated tested with every release
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

N/A

Client-side
Allows testing code execution on the client, such as a web browser

Yes

You can perform unit tests on various components and functionality that make up the front-end

Yes

Unexpected can be used in a browser environment to test front-end components and functionality
Server-side
Allows testing the bahovior of a server-side code

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

Yes

Unexpected is used in a Node.JS environment to test server behaviour and functionality
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

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

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

N/A

Other
Other useful information about the testing framework