Awesome GitHub RepositoriesCustom Validators

go-swagger is a toolkit for working with Swagger/OpenAPI 2.0 specifications in Go. It generates server, client, and CLI code from a specification document, and can also produce a specification by scanning annotated Go source code. The project includes a static validation engine that checks documents against the schema and project-specific rules, and a specification transformation pipeline that resolves, flattens, and merges documents. The toolkit generates both client and server code from the same specification, ensuring consistency in request and response handling. It also produces a command

FluentValidation is a .NET validation library used to define strongly-typed validation rules for objects. It utilizes a fluent interface API and lambda expressions to ensure data integrity for classes and properties within the .NET type system. The library separates validation logic from business entities to keep domain models focused on core functionality. This approach enables the enforcement of business logic and the sanitization of input data or API payloads through a sequence of logic checks. The system supports complex validation surface areas, including the ability to nest validators

Superstruct is a JavaScript and TypeScript data validation library used to verify that data structures match defined shapes and types. It functions as a composable schema builder and a TypeScript schema validator, ensuring that runtime data checks remain synchronized with static type definitions. The library features a data coercion engine that transforms input values or injects default values before the validation process is executed. It enables the creation of complex validation rules by nesting, merging, or omitting properties from existing structures. Its capabilities cover the validatio

Moleculer is a Node.js microservices framework designed for building distributed systems. It functions as a distributed service broker, task orchestrator, and service mesh framework, enabling a decentralized architecture with built-in service discovery and load balancing. The project differentiates itself through a pluggable transport layer supporting protocols such as NATS, Redis, TCP, and Kafka, as well as a dedicated microservices API gateway that maps external HTTP and WebSocket requests to internal service actions. It includes built-in fault tolerance mechanisms, including circuit breake

Connexion is a spec-first Python web framework designed to derive server behavior and validation logic directly from a predefined API contract. It enables the development of web services by using an OpenAPI specification to automatically handle routing, request validation, and response serialization. The framework distinguishes itself by acting as an OpenAPI request validator and mock server. It can simulate API behavior by serving example responses based on specification schemas, allowing for frontend development and prototyping before a backend implementation is completed. Additionally, it

Fluent-validator est un framework de validation Java conçu pour appliquer l'intégrité des données via des contraintes déclaratives et des vérifications automatisées au niveau de la couche de service. Il fournit un environnement structuré pour définir une logique de validation qui s'intègre avec la spécification JSR 303, permettant aux développeurs de maintenir une qualité de données cohérente à travers des hiérarchies d'objets complexes et des limites d'application. Le framework se distingue par une interface fluide qui permet l'orchestration de chaînes de validation, permettant des séquences de règles lisibles et maintenables. Il prend en charge un contrôle d'exécution avancé, y compris la capacité de basculer entre des stratégies d'échec rapide et de basculement, et utilise une interception basée sur proxy pour vérifier automatiquement les arguments de méthode au sein des conteneurs gérés. Au-delà de l'intégration de contraintes standards, la bibliothèque facilite une intégrité profonde des données via le parcours récursif de graphes d'objets et la validation en cascade. Elle s'adapte aux exigences commerciales dynamiques en prenant en charge la logique conditionnelle, les groupes de validation pour la résolution de règles sensible au contexte et l'injection de propriétés externes dans la portée de validation. Les développeurs peuvent également implémenter des classes de validation personnalisées pour gérer des exigences de données uniques aux côtés des annotations standards.