NaturalSpec vs Crosscheck comparison of testing frameworks
What are the differences between NaturalSpec and Crosscheck?

	NaturalSpec https://www.nuget.org/packages/NaturalSpec/	Crosscheck https://github.com/cross-check/cross-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.	Crosscheck is a JavaScript unit-testing framework capable of emulating multiple browser environments Crosscheck is an open source testing framework for verifying your in-browser JavaScript. It helps you ensure that your code will run in many different browsers such as Internet Explorer, Chrome and Firefox, but without needing installations of those browsers. The only thing you need is a Java Virtual Machine.
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	No
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 Crosscheck is used to verify in-browser JavaScript and is a headless test framework, it tests back-end components and functionality
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	N/A
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