Top 20 NuGet random Packages

Advanced testing library for F#
Codename generator for .NET
Property testing for Expecto, powered by FsCheck
This is a configurable generator to create random data like Lorum Ipsum Text, Words, Text Patterns, First/Last Names, IP-Addresses, Guids, DateTime and more.
Advanced testing library for F#
The Tynamix ObjectFiller.NET fills the properties of your objects with random data. Use it for unittest, prototyping and whereever you need some random testdata. It has a fluent API and is highly customizable. It supports also IEnumerables and Dictionaries and constructors WITH parameters. It is als...
Running Hopac jobs from Expecto
Package Description
FsCheck is a tool for testing .NET programs automatically. You provide a specification of the program, in the form of properties which functions, methods or objects should satisfy, and FsCheck then tests that the properties hold in a large number of randomly generated cases. Such properties are actu...
Secure random password generator. Uses a cryptographically secure PRNG Can guarantee that the password contains digits, special characters, or any other set Can generate pronounceable, easier-to-remember passwords Packaged as a .NET library and as a PowerShell module API Documentation available at t...
Chance.NET randomness generator
FsCheck.Xunit integrates FsCheck with xUnit.NET by adding a PropertyAttribute that runs FsCheck tests, similar to xUnit.NET's FactAttribute. All the options normally available in vanilla FsCheck via configuration can be controlled via the PropertyAttribute.
boost_random-vc140. Compiler: Visual Studio 2015 Update 3.
boost_random-vc100. Compiler: Visual Studio 2010 SP1.
boost_random-vc110. Compiler: Visual Studio 2012 Update 4.
boost_random-vc120. Compiler: Visual Studio 2013 Update 5.
boost_random-vc141. Compiler: Visual Studio 2017 15.9.17.
RANDOM.ORG service client based on Core API (Release 3)
Contains probability distributions, statistical models and methods such as Linear and Logistic regression, Hidden Markov Models, (Hidden) Conditional Random Fields, Principal Component Analysis, Partial Least Squares, Discriminant Analysis, Kernel methods and functions and many other related techniq...
Tools and extensions to the .Net framework.