fast-check vs HavaRunner comparison of testing frameworks
What are the differences between fast-check and HavaRunner?

	fast-check https://github.com/dubzzz/fast-check	HavaRunner https://github.com/havarunner/havarunner
Programming language	JavaScript	Java
Category	Unit Testing	Unit Testing
General info	It's a property based testing framework written in typescript Fast-check provides another way to test programs by using property testing, Property testing is a way to test functionality by automatically generating many different inputs. This means Instead of relying on hard-coded inputs and outputs, it checks characteristics of the output given the whole range of possible inputs	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 It can test 'units' of front-end code for functionality and behaviour	Yes You can test front-end functionality and components with havarunner
Server-side Allows testing the bahovior of a server-side code	Yes It is a unit testing framework in essence and can test back-end functionality and 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	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	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)	N/A
Grouping Allows organizing tests in groups	N/A	Yes You can group your tests by annotating them as @PartOf a suite
Other Other useful information about the testing framework