Test::Unit vs Goblin comparison of testing frameworks
What are the differences between Test::Unit and Goblin?

	Test::Unit https://test-unit.github.io/	Goblin https://github.com/franela/goblin
Programming language	Ruby	Go
Category	Unit Testing, Intergration Testing	Unit Testing, Intergration Testing
General info	Test::Unit is a unit testing framework for Ruby Test::Unit is an implementation of the xUnit testing framework for ruby which is used for Unit Testing. However Test::Unit has been left in the standard library to support legacy test suites therefore if you are writing new test code use Minitest instead of Test::Unit	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.	Yes test-unit is a xUnit family unit testing framework for Ruby	No
Client-side Allows testing code execution on the client, such as a web browser	It could have tested some front-end components but its now legacy hence wouldn't work with the many new front-end components	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	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	Yes Fixture methods are available through its ClassMethods Module	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 fixture methods are supported	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.	No	N/A
Licence Licence type governing the use and redistribution of the software	LGPLv2.1, Ruby Licence	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)	No	N/A
Grouping Allows organizing tests in groups	No	N/A
Other Other useful information about the testing framework