A generic Go library for data validation and filtering, supporting maps, structs, and HTTP request data with built-in validators and custom rules.
Validate is a Go package for data validation and filtering that helps developers ensure data correctness and security. It validates and sanitizes data from maps, structs, and HTTP requests, preventing invalid or malicious input from compromising applications.
Go developers building web applications, APIs, or services that require robust input validation, such as form handling, configuration parsing, or data processing pipelines.
Developers choose Validate for its extensive built-in validators, ease of integration with any Go framework, and flexibility through custom rules and filters, reducing boilerplate code while maintaining high data integrity.
⚔ Go package for data validation and filtering. support Map, Struct, Form data. Go通用的数据验证与过滤库,使用简单,内置大部分常用验证、过滤器,支持自定义验证器、自定义消息、字段翻译。
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Includes over 70 built-in validators for common checks like email, length, and regex, reducing the need for custom code and speeding up development.
Can be seamlessly integrated into any Go web framework like Gin, Echo, or Chi, as demonstrated with examples for handling HTTP requests and struct validation.
Supports adding custom validator and filter functions, along with scene-based validation for different contexts, offering flexibility for diverse project needs.
Provides i18n-aware error messages with built-in English and Chinese locales, useful for multilingual applications without extra setup.
While basic usage with struct tags is straightforward, implementing custom validators, filters, and scene management requires additional boilerplate code and a deeper understanding of the API.
The library performs validation synchronously, which may not scale well for high-concurrency applications where asynchronous or parallel processing is preferred.
Error messages are returned as nested maps (v.Errors), which can be more complex to parse and integrate compared to simpler error return types or structured logs.