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

	fast-check https://github.com/dubzzz/fast-check	Goconvey https://github.com/smartystreets/goconvey
Programming language	JavaScript	Go
Category	Unit Testing	Regression 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	BDD style testing framework for Go Goconvey is a two pronged testing tool consisting of a test runner that watches your code for changes, runs 'go test' and renders your results in a web browser and the second a library that allows you to write BDD-style tests with standard 'go test' functions
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 Yes, Goconvey can perform front-end tests
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 Yes one can perform end-to-end HTTP tests with goconvey to see how an application works against remote servers
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	N/A	Yes Yes, Goconvey uses scopes to define fixtures and a reset function for teardown
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	Yes One can define group fixtures using scopes
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	Yes The web UI has a button to open the built in generator
Licence Licence type governing the use and redistribution of the software	MIT License	Goconvey 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	Yes Using the mock package or mockery library to autogenerate mock code
Grouping Allows organizing tests in groups	N/A	Yes Similar to a table driven approach an entire suite can be contained in a single function
Other Other useful information about the testing framework