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

Specter

http://specter.sourceforge.net/

unexpected

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

.NET

JavaScript

Category

Acceptance Testing

Unit Testing

General info

Specter is a behaviour-driven development framework for .NET and Mono

Specter enables behavior driven development (BDD) by allowing developers to write executable specifications for their objects, before actually implementing them, this is similar to test driven development however the different nomenclature makes it different from writing 'tests' for code that does not exist yet

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

Developers can create specfications of the expected front-end behaviours and test them

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

Yes developers can create specfications of the expected back-end behaviours and test these.

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

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

BSD 3-Clause 'New' or 'Revised' 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 create your own test suites with specter

N/A

Other
Other useful information about the testing framework