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

	Fixie http://fixie.github.io/	unexpected http://unexpected.js.org/
Programming language	.NET	JavaScript
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	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.	Yes fixie is an xUnit type testing framework	N/A
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 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 You can unit test back-end components of your applications with fixie	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	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	N/A
Grouping Allows organizing tests in groups	Yes You can group tests into suites	N/A
Other Other useful information about the testing framework