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

NaturalSpec

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

Google Puppeteer

https://developers.google.com/web/tools/puppeteer
Programming language

.NET

JavaScript

Category

Unit Testing

Browser Automation

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.

Puppeteer is a Node library which provides browser automation for chrome and chromium

Puppeteer runs headless by default, but can be configured to run full (non-headless) Chrome or Chromium; It provides a high-level API to control Chromium or Chrome over the DevTools Protocol
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

No

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

Most things you can do manually in the browser can be done using puppeteer, therefore you can create a testing environment for your tests to run directly. You can test front-end functionality such as UI testing with puppeteer
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

No

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

No

Licence
Licence type governing the use and redistribution of the software

MIT License

Apache License 2.0

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

No

Grouping
Allows organizing tests in groups

N/A

No

Other
Other useful information about the testing framework