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

	HavaRunner https://github.com/havarunner/havarunner	Goblin https://github.com/franela/goblin
Programming language	Java	Go
Category	Unit Testing	Unit Testing, Intergration Testing
General info	HavaRuner is a Java test framework with built-in concurrency support, suites and scenarios HavaRunner is a Java test framework that has built in support for concurrency and enables you to create suites. You can run the same test against multiple scenarios and speeds up development cycles with faster tests.HavaRunner is a JUnit runner, which means that it is built on top of JUnit it's fairly straightforward to adopt it in a codebase that already has JUnit tests.	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.	No	No
Client-side Allows testing code execution on the client, such as a web browser	Yes You can test front-end functionality and components with havarunner	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 HavaRunner is able to test server side functions and components	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	MIT 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
Grouping Allows organizing tests in groups	Yes You can group your tests by annotating them as @PartOf a suite	N/A
Other Other useful information about the testing framework