Canopy vs Machine.Specifications

Canopy

f# web automation and testing library, built on top of Selenium (friendly to c# also) (by lefthandedgoat)

Testing

Source Code

lefthandedgoat.github.io

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Machine.Specifications

Machine.Specifications is a Context/Specification framework for .NET that removes language noise and simplifies tests. (by machine)

Testing mspec .NET unit-testing

Source Code

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Canopy		Machine.Specifications
	Project
4	Mentions	1
502	Stars	884
-	Growth	0.1%
0.0	Activity	4.0
almost 2 years ago	Latest Commit	about 2 months ago
F#	Language	C#
MIT License	License	MIT License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Canopy

Posts with mentions or reviews of Canopy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-17.

How should I get started learning testing in Javascript?
2 projects | /r/Frontend | 17 Dec 2022

You don't necessarily have to test your JavaScript with JavaScript, btw. Its always good to dabble with other stacks, and it'll add an additional bullet point to your resume. I use a package called Canopy to write very simple tests in F#, which is a Microsoft .NET language.
Ok, il y a des devs ici. Mais est-ce qu'il y a des testeurs ?
1 project | /r/france | 2 Dec 2021
Help with automatization
5 projects | /r/softwaretesting | 9 Oct 2021

I've been using canopy for a year now and it rocks. Took a while to port over from C# to F#, but it's a lot more stable than out of the box Selenium: https://lefthandedgoat.github.io/canopy/
Ayuda para progresar como dev junior
1 project | /r/programacion | 26 Mar 2021

Machine.Specifications

Posts with mentions or reviews of Machine.Specifications. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-29.

Show HN: A C# library to help you enforce a Given-When-Then structured Unit test
2 projects | news.ycombinator.com | 29 Aug 2021

Looks like a similar concept to https://github.com/machine/machine.specifications which I used many years ago to try and achieve BDD style unit testing.
One point to note from your introduction was the following statement:

What are some alternatives?

When comparing Canopy and Machine.Specifications you can also consider the following projects:

Expecto - A smooth testing lib for F#. APIs made for humans! Strong testing methodologies for everyone!

SpecFlow - #1 .NET BDD Framework. SpecFlow automates your testing & works with your existing code. Find Bugs before they happen. Behavior Driven Development helps developers, testers, and business representatives to get a better understanding of their collaboration

xUnit - xUnit.net is a free, open source, community-focused unit testing tool for .NET.

Xunit.Gherkin.Quick - BDD in .NET Core - using Xunit and Gherkin (compatible with both .NET Core and .NET)

NUnit - NUnit Framework

Fluent Assertions - A very extensive set of extension methods that allow you to more naturally specify the expected outcome of a TDD or BDD-style unit tests. Targets .NET Framework 4.7, as well as .NET Core 2.1, .NET Core 3.0, .NET 6, .NET Standard 2.0 and 2.1. Supports the unit test frameworks MSTest2, NUnit3, XUnit2, MSpec, and NSpec3.

LightBDD - BDD framework allowing to create easy to read and maintain tests.

FsCheck - Random Testing for .NET

AutoFixture - AutoFixture is an open source library for .NET designed to minimize the 'Arrange' phase of your unit tests in order to maximize maintainability. Its primary goal is to allow developers to focus on what is being tested rather than how to setup the test scenario, by making it easier to create object graphs containing test data.