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