Testing101 VS AutoFixture

Compare Testing101 vs AutoFixture and see what are their differences.

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. (by AutoFixture)
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Testing101 AutoFixture
5 11
7 3,226
- 0.4%
1.7 4.6
11 months ago 18 days ago
C# C#
- 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.

Testing101

Posts with mentions or reviews of Testing101. We have used some of these posts to build our list of alternatives and similar projects.
  • Don't duplicate logic in Asserts: The most common mistake on unit testing
    1 project | dev.to | 8 Nov 2021
    Let's write some tests for Stringie, a (fictional) library to manipulate strings with a fluent interface. Stringie has a Remove() method to remove substrings from the end of a string.
  • How to create custom assertions in C# with MSTest
    1 project | dev.to | 30 Aug 2021
    With this new assertion method, we can refactor one of our tests for Stringie, a (fictional) library to manipulate strings. We used Stringie to learn 4 common mistakes when writing tests and 4 test naming conventions.
  • Unit Test Best Practices: On Assertions
    1 project | dev.to | 2 Aug 2021
    For example, let's bring back one test for Stringie, a (fictional) library to manipulate strings, to show the AAA pattern. Notice how each test has these 3 parts. For the sake of the example, we have put comments in each part. You don't need to do that on your own tests.
  • 4 naming conventions to better name your tests
    1 project | dev.to | 3 May 2021
    If you want to practice naming unit tests, check my Unit Testing 101 repository.
  • 4 common mistakes when writing your first unit tests
    1 project | dev.to | 5 Apr 2021
    If you want to practice identifying and fixing these mistakes, check my Unit Testing 101 repository. You will find the tests that Stringie developers wrote and some other misatkes mistakes they made. Your mission, Jim, should you choose to accept it, is to fix them.

AutoFixture

Posts with mentions or reviews of AutoFixture. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

What are some alternatives?

When comparing Testing101 and AutoFixture you can also consider the following projects:

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.

Bogus - :card_index: A simple fake data generator for C#, F#, and VB.NET. Based on and ported from the famed faker.js.

NSubstitute - A friendly substitute for .NET mocking libraries.

FakeItEasy - The easy mocking library for .NET

Moq - Repo for managing Moq 4.x [Moved to: https://github.com/moq/moq]

NBuilder - Rapid generation of test objects in .NET

FsCheck - Random Testing for .NET

MSTest - MSTest framework and adapter

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

AutoMoq - Auto mocking provider for Moq.

GenFu - GenFu is a library you can use to generate realistic test data. It is composed of several property fillers that can populate commonly named properties through reflection using an internal database of values or randomly created data. You can override any of the fillers, give GenFu hints on how to fill them.