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

HavaRunner

https://github.com/havarunner/havarunner

Gocheck

https://github.com/go-check/check
Programming language

Java

Go

Category

Unit Testing

Unit 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.

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'
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, supports end-to-end testing so various front-end components 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 end-to-end testing means that various back-end components and behaviour can be tested
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

N/A

Yes

Fixtures are available with Gocheck either per suite and/or per setup and teardown
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

Yes

Group fixtures are available as a suite
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

Simplified BSD 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

You can group your tests by annotating them as @PartOf a suite

Yes

When testing, developers can create suites of tests
Other
Other useful information about the testing framework