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

NaturalSpec

https://www.nuget.org/packages/NaturalSpec/

fast-check

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

.NET

JavaScript

Category

Unit Testing

Unit Testing

General info

NaturalSpec is a .NET Unit testing framework

NaturalSpec is a .NET UnitTest framework which provides automatically testable specs in natural language. NaturalSpec is based on NUnit and completely written in F# - you don't have to learn F# to use it.

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 test front-end components with NaturalSpecit. It is a Unit testing framework therefore you can test front-end modules and classes independently

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

You can test back-end components with NaturalSpec. It is a Unit testing framework therefore you can test back-end modules and classes independently

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)

Yes

Mocks are available through third party libraries like Moq

N/A

Grouping
Allows organizing tests in groups

N/A

N/A

Other
Other useful information about the testing framework