1,324 packages returned for Tags:"fluent-validation"

NUnit features a fluent assert syntax, parameterized, generic and theory tests and is user-extensible. This package includes the NUnit 3 framework assembly, which is referenced by your tests. You will need to install version 3 of the nunit3-console program or a third-party runner that supports... More information
A very extensive set of extension methods that allow you to more naturally specify the expected outcome of a TDD or BDD-style unit tests. Targets .NET Framework 4.5 and 4.7, as well as .NET Core 2.0, .NET Core 3.0, .NET Standard 1.3, 1.6 and 2.0. Supports the unit test frameworks MSTest,... More information
  • 34,947 total downloads
  • last updated 2/7/2012
  • Latest version: 1.0.1
  • Fluent Validation
The implementation and fluent syntax are inspired from the well-known library Fluent Validation. However, I implemented it using Chain of Reponsibility pattern and made it fully support Dependency Injection for validator classes.
A fluent, portable URL builder. To make HTTP calls off the fluent chain, check out Flurl.Http.
  • 1,452,958 total downloads
  • last updated 2/8/2018
  • Latest version: 5.0.1.27
  • ASP.NET Validation
Validation attributes that can be used in any .NET 4.0 project to supplement the existing Data Annotations attributes. If you are using MVC3 and also want client validation, use the DataAnnotationsExtensions.MVC3 package.
  • 1,035 total downloads
  • last updated 6/23/2015
  • Latest version: 2.1.0
  • Fluent Validation
Rules Engine is a . NET C# project that validates business logic by defining a bunch of rules for your data classes.
Fully managed library providing convenience methods to perform argument checks. Thrower allows to write preconditions in a pretty lean way, which reduces the clutter at the beginning of each method by removing the need to use the cumbersome 'if true then throw ex' required to validate parameters.... More information
AutoValidator's aim is to create a simple, fluent and intiutive framework to validate data and models in your dotnet applications. Simply put; an application would validate some data and get a result object. That object would state sucess or failure and detail the failing data.