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Data validation rules can be defined and designed using any of various methodologies, and be deployed in any of various contexts.

Data validation rules may be defined, designed and deployed, for example: Definition and design contexts: Data that does not conform to these rules will negatively affect business process execution.

To learn how to craft your custom remote validators, go here.

Parsley uses a specific DOM API which allows you to configure pretty much everything directly from your DOM, without writing a single javascript configuration line or custom function.

Parsley's default DOM API is Parsley adds many classes and elements in the DOM when it validates.

Parsley strives to be highly decoupled and modular.

It uses events and inheritance, and allows various plugins.

You have to manage these errors completely manually and they should be independant with other validations. Note that Parsley triggers events that allows Parsley UI to work.

Further more, it could allow you to do some powerful magic if you listen properly to the right events!For cases where more complex parameters are needed, you can specify extra parameters; refer to the source and check how the for each locale.Parsley ships a UI/UX component that is the only one responsible for classes, error messages, focus or trigger events that alter your page. Here are the main mottos for Parsley UI: Naturally, all of this is absolutely customizable; you'll see below how to configure your desired UX behavior.Current available plugins are in Extras for additional validators.Parsley is a decoupled library that uses different classes to do the heavy work.It uses routines, often called "validation rules" "validation constraints" or "check routines", that check for correctness, meaningfulness, and security of data that are input to the system.