Bogus
Moq
Bogus | Moq | |
---|---|---|
32 | 27 | |
9,306 | 5,215 | |
0.9% | - | |
7.8 | 6.6 | |
2 months ago | almost 2 years ago | |
C# | C# | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
Bogus
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Iterations
Code which uses Bogus NuGet package for random data.
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Effective Strategies for Writing Unit Tests with External Dependencies like Databases and APIs
Sometimes, especially when testing data-driven applications, it is important to simulate a wide variety of inputs and conditions. One of the best ways to achieve this is by using fake data generators. Tools like Faker (Python) or Bogus (C#) allow you to generate large volumes of realistic but random data. This is particularly useful when you need to test how your code handles various types of data (such as user information, addresses, or product details) without relying on real data.
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Storing passwords safely (C#)
In the project AdminApplication (Windows forms) done cheaply using NuGet package Bogus to generate users.
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Bogus DateOnly/TimeOnly
Bogus NuGet package data generator provides methods to work with DateOnly and TimeOnly that are not documented, learn these methods using an ASP.NET Core project and class project.
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ASP.NET Core Integration Testing Best Practises
For assertions inside tests, I recommend using FluentAssertions Library. And if you want to generate some fake data for your tests, I recommend using Bogus.
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Bogus custom Dataset
Bogus NuGet package is fake data generator which can be helpful for populating tables in a database and testing purposes. If a database is not used and Bogus populates list of data each time an application runs, the data is random, never the same. Also, the random data generated by Bogus may not meet a developer’s requirements.
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C# User-defined explicit and implicit conversion operators
A list is populated with NuGet package Bogus.
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Windows form move items up/down in ListView and more
Other project either mocked data using NuGet package Bogus or a json file.
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Should I give a copy of the database to the developer
That reminds me of Bogus which also generates dummy data that I've been using for sometime now.
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Best practices for organising Mock Data & Repositories in Testing
To do all this you need test though...and that's where ]Bogus](https://github.com/bchavez/Bogus) and Auto Bogus come in handy. They both generate semi random test data that you can use to populate whatever method you've decided to use. You can setup rules so for specific fields, they have built in generators for common things like names and addresses. Auto Bogus can be used to populate large/complicated objects with data automatically (it can be slow if you don't use .WithRecursiveDepth() or.WithTreeDepth() )
Moq
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20 Top C# Frameworks and Libraries on GitHub for Building Powerful Applications
8. Moq
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Setting up a simple testing project with C#
In terms of mocking there are several frameworks you can use, but I've mainly relied on Moq and NSubstitute. Within this demo, I'm going to use NSubstitute as I've found it a little easier to use.
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What if writing tests was a joyful experience
Or you just run into bullshit like https://github.com/Moq/moq4/issues/173
- Moq.NET Mocking framework [C#]
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Dependency injection
Now to the real benefit of DI: If you are testing a method in your application that calls the ReservationRepository.GetReservation() method, you can use a library like Moq to simply "mock" a class that uses the IReservationRepository interface and define the return result of the GetReservation() method. Pass the mocked class into the constructor of the class you are testing.
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Usefully links for DotNet Backend Developers
MOQ https://github.com/moq/moq4
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I need a C# crash course for experienced developers
Moq
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A Tale of 2 Codebases (Part 2 of 4): Testability
Both projects use similar testing infrastructure. I write unit tests in C# using XUnit.net. I frequently use mock objects in testing, and MOQ is my tool of choice. I utilize continuous testing and coverage analysis through Rider. I do not have specific objectives for code coverage. When writing complicated algorithms, I frequently shoot for 100% coverage of the algorithm. I test simple properties inconsistently, and frequently do not test guard clauses.
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Moq vs NSubstitute: syntax cheat sheet
🔗 Moq documentation | GitHub
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What's your go-to unit testing tool?
But the reality is that I don't really write my tests with it. Toss on the MSTest attributes as needed of course. But all the testing code itself is FluentAssertions with a bit of Moq. (Though I find rarely need to use Moq/mocking anymore -- scandalous, I know.)
What are some alternatives?
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.
WireMock.Net - WireMock.Net is a flexible product for stubbing and mocking web HTTP responses using advanced request matching and response templating. Based on the functionality from http://WireMock.org, but extended with more functionality.
NSubstitute - A friendly substitute for .NET mocking libraries.
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.
FakeItEasy - The easy mocking library for .NET