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

	Gocheck https://github.com/go-check/check	unexpected http://unexpected.js.org/
Programming language	Go	JavaScript
Category	Unit Testing	Unit Testing
General info	Rich testing framework for Go Gocheck is a richer testing framework for Golang libraries and applications that includes checkers and assertions among many other features, it also works as an extension to the testing package and 'go test'	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 Yes, supports end-to-end testing so various front-end components can be tested	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 end-to-end testing means that various back-end components and behaviour can be tested	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 Fixtures are available with Gocheck either per suite and/or per setup and teardown	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.	Yes Group fixtures are available as a suite	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	Simplified BSD 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)	Yes Through third party libraries like gomock	N/A
Grouping Allows organizing tests in groups	Yes When testing, developers can create suites of tests	N/A
Other Other useful information about the testing framework