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

	HavaRunner https://github.com/havarunner/havarunner	Crosscheck https://github.com/cross-check/cross-check
Programming language	Java	JavaScript
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.	Crosscheck is a JavaScript unit-testing framework capable of emulating multiple browser environments Crosscheck is an open source testing framework for verifying your in-browser JavaScript. It helps you ensure that your code will run in many different browsers such as Internet Explorer, Chrome and Firefox, but without needing installations of those browsers. The only thing you need is a Java Virtual Machine.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	N/A
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	No
Server-side Allows testing the bahovior of a server-side code	Yes HavaRunner is able to test server side functions and components	Yes Crosscheck is used to verify in-browser JavaScript and is a headless test framework, it tests back-end components and functionality
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	N/A
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