BenchmarkDotNet VS Bogus

The name of the library is BenchmarkDotNet and the documentation can be found here. The only thing you have to do is:

Benchmarking Tool: Uses BenchmarkDotNet for accurate and repeatable measurements.

Through Professional tools like Visual studio Performance tool BenchmarkDotNet DotTrace Profiler by Rider, Dynatrace Datadog

BenchmarkDotNet helps you measure performance with ease.

The benchmark test was conducted using the BenchmarkDotNet library in C#. The classes tested include:

Let’s look at the first example you see, when you open up BenchmarkDotnet’s website, or Github page.

Or use BenchmarkDotNet which, among other things to get an accurate benchmark, does JIT warmup outside of measurement.

( https://github.com/dotnet/BenchmarkDotNet ).

You can also do proper statistically correct benchmarking by using - https://github.com/dotnet/BenchmarkDotNet. This will run warmup the jit, gauge the overheads, and run your function many times to give you proper data.

take a look at: https://benchmarkdotnet.org/

Code which uses Bogus NuGet package for random data.

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.

In the project AdminApplication (Windows forms) done cheaply using NuGet package Bogus to generate users.

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.

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.

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.

A list is populated with NuGet package Bogus.

Other project either mocked data using NuGet package Bogus or a json file.

That reminds me of Bogus which also generates dummy data that I've been using for sometime now.

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() )