6 个仓库
External logic providers used to define specialized validation rules for specific properties.
Distinct from Class Property Validation: Focuses on the mechanism for injecting custom validator classes or functions, rather than the general application of property validation.
Explore 6 awesome GitHub repositories matching software engineering & architecture · Custom Validators. Refine with filters or upvote what's useful.
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
Allows injection of custom validation logic into generated Go struct models.
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
Allows the integration of custom validator classes and functions to implement domain-specific validation logic.
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
Provides the mechanism for creating specialized validation rules for types not covered by standard primitives.
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
Allows replacing the default validation engine with a custom class or external library for specialized constraints.
Connexion 是一个规范优先(Spec-first)的 Python Web 框架,旨在直接从预定义的 API 契约中派生服务器行为和验证逻辑。它通过使用 OpenAPI 规范自动处理路由、请求验证和响应序列化,从而实现 Web 服务的开发。 该框架通过充当 OpenAPI 请求验证器和 Mock 服务器而脱颖而出。它可以通过基于规范模式提供示例响应来模拟 API 行为,从而允许在后端实现完成之前进行前端开发和原型设计。此外,它还托管一个交互式 API 文档界面,为用户提供可视化和测试端点的控制台。 该项目涵盖了广泛的功能,包括基于契约定义的自动路由注册、参数注入和安全性实施。它还提供了用于请求和响应模式验证的工具,以及将应用异常映射到标准化机器可读错误响应的能力。
Defines pluggable validation logic for request bodies and responses based on specific content types.
Fluent-validator is a Java validation framework designed to enforce data integrity through declarative constraints and automated service-layer checks. It provides a structured environment for defining validation logic that integrates with the JSR 303 specification, allowing developers to maintain consistent data quality across complex object hierarchies and application boundaries. The framework distinguishes itself through a fluent interface that enables the orchestration of validation chains, allowing for readable and maintainable rule sequences. It supports advanced execution control, inclu
Enables developers to define reusable custom validation classes for unique data requirements.