Knapsack Pro

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

unexpected

http://unexpected.js.org/

fast-check

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

JavaScript

JavaScript

Category

Unit Testing

Unit Testing

General info

An extensible BDD assertion toolkit

Unexpected is an extensible BDD assertion toolkit that is compatible with all test frameworks,is Node.js ready (require('unexpected')) and supports asynchronous assertions using promises among other features. It can be used with any test runner that catches exceptions, but the developer recommends Mocha, Jest or Jasmine as they are integrated tested with every release

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.

N/A

N/A

Client-side
Allows testing code execution on the client, such as a web browser

Yes

Unexpected can be used in a browser environment to test front-end components and functionality

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

Unexpected is used in a Node.JS environment to test server behaviour and functionality

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

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

N/A

Grouping
Allows organizing tests in groups

N/A

N/A

Other
Other useful information about the testing framework