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

Guage

https://gauge.org/

HavaRunner

https://github.com/havarunner/havarunner
Programming language

.NET

Java

Category

Acceptance Testing

Unit Testing

General info

Gauge is a light-weight cross-platform test automation tool for writing acceptance tests.

Gauge is a free and open source framework for writing and running acceptance tests. Some of its key features include: -Simple, flexible and rich syntax based on Markdown.; -Consistent cross platform/language support for writing test code.; -A modular architecture with plugins support.

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

You can test front-end behaviour by creating testing specifications to test front-end behaviour

Yes

You can test front-end functionality and components with havarunner
Server-side
Allows testing the bahovior of a server-side code

Yes

You can test back-end behaviour by creating testing specifications to test back-end behaviour

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

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

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

GNU General Public License v3.0

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

You can create mocks using third party libraries like moq

Grouping
Allows organizing tests in groups

Yes

You can create test suites with Gauge which can be run using multiple parameters.

Yes

You can group your tests by annotating them as @PartOf a suite
Other
Other useful information about the testing framework