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

	Unitils http://www.unitils.org/summary.html	fast-check https://github.com/dubzzz/fast-check
Programming language	Java	JavaScript
Category	Unit Testing, Intergration Testing	Unit Testing
General info	Unitils is an open source library whose goal is to make unit and integration testing easy and maintainable. Unitils is divided into modules, each of them providing support for a certain aspect of your unit and integration tests. For example if you need mocking for your tests, just include unitils-mock as a dependency, If you would also want to load DbUnit data sets, just include unitils-dbunit	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
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 perform unit tests on various components and functionality that make up the front-end	Yes It can test 'units' of front-end code for functionality and behaviour
Server-side Allows testing the bahovior of a server-side code	Yes Unitils provides support for testing the back-end through modules such as DbUnit which specifically tests your database, i.e connections setup and so on	Yes It is a unit testing framework in essence and can test back-end functionality and behaviour
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
Licence Licence type governing the use and redistribution of the software		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
Other Other useful information about the testing framework