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

	unexpected http://unexpected.js.org/	Guage https://gauge.org/
Programming language	JavaScript	.NET
Category	Unit Testing	Acceptance Testing
General info	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	Gauge is a light-weight cross-platform test automation tool for writing acceptance tests. Gauge is a free and open source framework for writing and running acceptance tests. Some of its key features include: -Simple, flexible and rich syntax based on Markdown.; -Consistent cross platform/language support for writing test code.; -A modular architecture with plugins support.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	N/A	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Unexpected can be used in a browser environment to test front-end components and functionality	Yes You can test front-end behaviour by creating testing specifications to test front-end behaviour
Server-side Allows testing the bahovior of a server-side code	Yes Unexpected is used in a Node.JS environment to test server behaviour and functionality	Yes You can test back-end behaviour by creating testing specifications to test back-end behaviour
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	N/A
Licence Licence type governing the use and redistribution of the software	MIT License	GNU General Public License v3.0
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	Yes You can create mocks using third party libraries like moq
Grouping Allows organizing tests in groups	N/A	Yes You can create test suites with Gauge which can be run using multiple parameters.
Other Other useful information about the testing framework