Knapsack Pro

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

fast-check

https://github.com/dubzzz/fast-check

teenytest

https://github.com/testdouble/teenytest
Programming language

JavaScript

JavaScript

Category

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

Teenytest is a simple, zero-config test runner for NodeJS

Teenytest's CLI will run tests with zero public-API and zero configuration
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

N/A

Yes

It supports xUnit output
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

No

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

Teenytest tests database connections and other server-side components 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

Yes

It provides fixtures with the methods beforeAll(),afterEach() and afterAll()beforeAll() creates the browser and gives you a newPage() globalafterEach() will close any pages you created with newPage()afterAll() closes the browser
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

Teeny test supports grouping of fixtures
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

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

N/A

Grouping
Allows organizing tests in groups

N/A

Yes

Grouping is supported through nested tests in which any object can contain any combination of hooks, test functions, and additional sub-test objects.
Other
Other useful information about the testing framework