A JSON schema validator for Go inspired by Joi, designed to validate raw JSON data before deserialization.
jio is a JSON schema validation library for Go that validates raw JSON data before deserialization, inspired by Hapi.js's Joi. It solves common Go validation problems like struct tag limitations, handwritten validation code, and zero-value interference by providing a flexible, schema-based approach.
Go developers building web APIs or services that require robust input validation for JSON payloads, especially those using frameworks like Chi or similar HTTP routers.
Developers choose jio for its Joi-inspired schema syntax, pre-deserialization validation that avoids Go struct pitfalls, and seamless integration as middleware for HTTP request validation in Go web applications.
jio is a json schema validator similar to joi
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Validates raw JSON data directly, avoiding Go struct zero-value issues and tag limitations, as emphasized in the 'Why use jio?' section for cleaner error handling.
Uses Joi-inspired schemas that are easy to read and extend, making validation rules structured and maintainable for complex nested JSON.
Allows data sharing between rules and referencing other fields via context, enabling dynamic validations like interdependent fields with the When() method.
Provides built-in middleware for frameworks like Chi to validate request bodies and query parameters, reducing boilerplate in web APIs.
Supports custom transformers and validators using the context API, as shown in the 'Validator Context' section for tailored logic.
Query parameter validation requires manual type conversion (e.g., ParseString()), adding complexity compared to automatic deserialization in other libraries.
Defining schemas for every validation can lead to verbose code, especially for simple data structures, increasing initial setup time.
As a niche library, it has fewer community plugins and integrations compared to established alternatives like go-playground/validator.
Mastering context-driven rules and priority settings adds cognitive load, which might deter developers used to simpler, tag-based validation.