Wallaby.js vs HavaRunner comparison of testing frameworks
What are the differences between Wallaby.js and HavaRunner?

	Wallaby.js https://wallabyjs.com/	HavaRunner https://github.com/havarunner/havarunner
Programming language	JavaScript	Java
Category	Unit Testing	Unit Testing
General info	Wallaby.js is an integrated continuous testing tool for JavaScript. Wallaby.js runs your tests immediately as you change your code (you don’t even have to save the file) and reports code coverage and other results directly to your code editor. Its also uses various techniques such as dependency analysis to only execute tests affected by your code changes and parallel test execution to ensure your tests run as fast as possible.	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.	N/A	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Wallaby.js can test front-end components and functionality	Yes You can test front-end functionality and components with havarunner
Server-side Allows testing the bahovior of a server-side code	Yes Wallaby.js can test server behaviour and functionality	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	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	N/A	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)	By use of a third party library Jest works well with wallaby
Grouping Allows organizing tests in groups		Yes You can group your tests by annotating them as @PartOf a suite
Other Other useful information about the testing framework