Crosscheck vs Goblin comparison of testing frameworks
What are the differences between Crosscheck and Goblin?

	Crosscheck https://github.com/cross-check/cross-check	Goblin https://github.com/franela/goblin
Programming language	JavaScript	Go
Category	Unit Testing	Unit Testing, Intergration Testing
General info	Crosscheck is a JavaScript unit-testing framework capable of emulating multiple browser environments Crosscheck is an open source testing framework for verifying your in-browser JavaScript. It helps you ensure that your code will run in many different browsers such as Internet Explorer, Chrome and Firefox, but without needing installations of those browsers. The only thing you need is a Java Virtual Machine.	Goblin is a simple Mocha like BDD testing framework for Go Goblin was inspired by the simplicity and flexibility of NodeBDD and offers many features like the ability to define as many Describe and It blocks as you want, colorful reports and beautiful syntax, running tests with the go test command as usual and more
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	No	Yes Yes, since it is a BDD driven framework, various front-end functionalities can be tested
Server-side Allows testing the bahovior of a server-side code	Yes Crosscheck is used to verify in-browser JavaScript and is a headless test framework, it tests back-end components and functionality	Yes Yes back-end behaviour can be tested that is interactions with servers/databases
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	N/A	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	N/A	N/A
Other Other useful information about the testing framework