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

Fuchu

https://github.com/mausch/Fuchu

fast-check

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

.NET

JavaScript

Category

Unit Testing

Unit Testing

General info

Fuchu is functional test library for F# / C# / VB.NET

Fuchu is a test library for .NET, that supports C# and VB.NET but with a special focus on F#. It draws heavily from Haskell's test-framework and HUnit.

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 by testing individual front-end classes and modules

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 by testing individual back-end classes and modules

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

Yes

It can do TestFixtureSetups (SetUp/TearDown), but not TestFixtureTearDowns (not unless you treat that test suite separately)

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.

Yes

Group fixtures are available in Fuchu

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

Apache License 2.0

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

You can create mock objects using the third party library moq

N/A

Grouping
Allows organizing tests in groups

Yes

You can organize tests in suites and give them names

N/A

Other
Other useful information about the testing framework