fakeiteasy

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.

Mocking Entity Framework Core operations such ToListAsync, FirstOrDefaultAsync etc. Author Raman Tsitou

Self study: DDD, .net core, entity framework core

A generic model for using fakes and automocking on top of Machine.Specifications

Zero-allocation, source-generated .NET mocking library. 34x faster than Moq with partial mocks, static mocking, fluent API, and async support.

Autofixture auto-mocking for XUnit2 using a mocking library of your choice.

Building a Z80 emulator in C# as a .NET Standard Class Library. Includes a sample implementation in the form of a ZX Spectrum 48K emulator.

A very simple, yet flexible, "AutoFaker" for FakeItEasy to easily auto generate classes with faked dependencies.

This is the companion repo for FakeItEasy Succinctly by Michael McCarthy. Published by Syncfusion.

Lib para trocar implementações injetadas via DI em tempo de execução nos testes integrados

Demo Asp.net application using Riot.js and Hangfire.io created for a talk at Modern Devs Charlotte.

Helpers for .net mocking frameworks

Betting system application based on Domain-Driven Design & Clean Architecture with ASP.NET Core

A cats listing grouped by owner's gender demo with .Net Core MVC following SOLID principles.

Simple exercise to showcase c# test driven development. #netcore #mstest #fakeiteasy #tdd #fluentassertions #tpl #tpldataflows #pipelinepattern

MarsRover Solution

Repository to show the use of the different Mocking frameworks

Automates fakeing of dependencies and makes it easy to access faked instanes, making your test classes more clean

ASP.NET Web API For Beginners Tutorial 2022

Bookworm is a .NET web application which allows you to review books, have a unique profile and gain insight into other books that you might be interested in. This insight is gained using a recommender system which makes use of a machine learning algorithm from an open-sourced tool called MyMediaLite. Its architecture is designed using 5 layers, …