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

	Gocheck https://github.com/go-check/check	HavaRunner https://github.com/havarunner/havarunner
Programming language	Go	Java
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'	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.
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 Yes, supports end-to-end testing so various front-end components can be tested	Yes You can test front-end functionality and components with havarunner
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 HavaRunner is able to test server side functions and components
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
Grouping Allows organizing tests in groups	Yes When testing, developers can create suites of tests	Yes You can group your tests by annotating them as @PartOf a suite
Other Other useful information about the testing framework