Model Validation
Showing 15 of 15 projects
A magical data modeling framework for JSON that automates model creation and validation for iOS, macOS, watchOS, and tvOS apps.
A magical data modeling framework for JSON that automates model creation and validation for iOS, macOS, watchOS, and tvOS apps.
An open-source solution for continuous validation of machine learning models and data, from research to production.
A validation plugin for Backbone.js that validates models and form inputs with declarative rules.
A lightweight Objective-C library for mapping and validating data from dictionaries to model objects in iOS apps.
A collection of easy and flexible extensions for Laravel's Eloquent ORM, adding searchable, validable, mappable, and other capabilities.
A Laravel Eloquent trait that automatically validates models before saving, ensuring only valid data is persisted.
A Python ORM built on SQLAlchemy core with Pydantic integration for automatic validation and high performance.
Validot is a performance-first, compact library for advanced model validation. Using a simple declarative fluent interface, it efficiently handles classes, structs, nested members, collections, nullables, plus any relation or combination of them. It also supports translations, custom logic extensions with tests, and DI containers.
A dead simple fluent validation library for .NET Core that replaces if-statements with clean validators.
An Ember addon that adds Active Record-style validations to Ember Data models with a simple, declarative API.
A Rails gem that integrates Knockout.js with server-side models, validations, and custom bindings for building rich client-side applications.
A Ruby gem that identifies invalid records in Rails applications by validating data against model validation rules.
A cheminformatics modeling laboratory for fitting and assessing machine learning models, tailored to virtual screening for drug discovery.
A Ruby library for validating AWS service JSON model files, including API, paginator, waiter, and resource models.
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