Sane fake data generator for .NET - Bogus - Open Source Libraries

Seeding is a necessary evil for a lazy developer every day. When unit testing, we are messing with what I should use for names, emails, paragraphs, etc. With Bogus, they become slightly more manageable.

Bogus is a lovely library from Brian Chavez to use in automated tests to generate test data of different kinds automatically. Brian says,

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

In my day-to-day coding life, I work with Proof Of Concepts (PoCs), Sample projects for my blog posts, and research tasks. For them, Bogus is the more robust data generator for me, with a realistic looking at the data.

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You all need a way to generate data if you are working on demonstrations, load performance, styling, and testing. A rudimentary form of doing this is by hand. Spending days, sometimes weeks, inputting data into a system until it represents a realistic go-live scenario.

Here is the Bogus GitHub repository link. Please make ⭐ a star ⭐ for the repository. It will encourage the author.

Popularity

Criteria	Counts
GitHub Stars	6.3k
GitHub Forks	380
Github Issues	23
NuGet Downloads	32.6M

How to install

You can easily install it using the NuGet package manager console using.

NuGet Package

`Install-Package Bogus`

As well as .Net CLI

`dotnet add package Bogus`

Examples

Here I am creating a Dotnet console application using .Net 6. Then I add Bogus NuGet dependency using the above command.

Here I am creating a Customer POCO class that fills the data randomly.

The plan is to seed realistic Customer data to the Customer object.

In this seeding journey, we should first create a faker object via our POCO class. Then map our properties using the Rules concept like in the FluenntValidator library. The property of the Review object may be provided as the first argument to the RuleFor() methods, and the second argument indicates how the property value should be generated.

Here we generate an address list like a sub-class for the main Customer class. It is another faker object. The rest of both fakers are generating individually at once.

Then we can generate our Customer data and Address data using Generate() the method.

We can then serialize this object into JSON and write it to the console:

This blog post is recommended to refer with marvelous and informative.

Supported Entities by Bogus

There is a vast range of test data types supported. Below I put some supported areas and properties. Apart from this, you can get a massive idea from here | Bogus Documentation

#	Entity	Properties
1	Address	ZipCode, City, Country, Latitude, etc
2	Commerce	Department name, ProductName, ProductAdjective, Price, etc
3	Company	CompanyName, CatchPhrase, Bs, etc
4	Database	Column, Type,Collation etc
5	Date	Past, Soon, Between, etc
6	Finance	Account number, TransactionType, Currency, CreditCardNumber, etc
7	Hacker	Abbreviation ,Adjective etc
8	Images	Random image, Animals image, Nature image, etc.
9	Internet	Email, DomainName, Ipv6, Password, et
10	Lorem	single word, Words, Sentence, Paragraphs, etc.
11	Name	FirstName, LastName, etc
12	Phone	PhoneNumber , PhoneNumberFormat
13	Rant	Random user review, etc
14	System	FileName, MimeType, FileExt, etc.
15	Vehicle	Manufacturer , Model , etc
16	Random/Randomizer	Number, Digits, Hash, String, etc

Summary

A fluent interface into a world of random realistic data, Bogus is a mandatory tool for any programmer. Please give him a star for his contribution and share your thoughts via tweet.

Source code - All in one

Repository Link

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I hope you find this content helpful. Keep touching my diaries.
Learn something new. Comment your thoughts and share the content.
Happy coding!!
See you again soon. ✌✌

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