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vs Validator Crate

Featurezod-rsvalidator
Schema definitionDerive macro with attributesStruct attributes only
Runtime flexibilityDynamic schema creationCompile-time only
Error messagesDetailed with full path contextBasic field-level errors
JSON integrationBuilt-in JSON validation/parsingManual serde integration
Nested validationAutomatic nested struct supportManual implementation
Schema reuseComposable and reusable schemasStruct-bound validation
Type safetyFull type inferenceLimited type information
ExtensibilityCustom validators and schemasCustom validation functions
Framework integrationBuilt-in Axum supportManual integration
i18nBuilt-in localized error messagesNo i18n support
use validator::{Validate, ValidationError};
#[derive(Validate)]
struct User {
#[validate(length(min = 3, max = 20))]
username: String,
#[validate(email)]
email: String,
#[validate(range(min = 13, max = 120))]
age: u32,
}
use zod_rs::prelude::*;
#[derive(ZodSchema)]
struct User {
#[zod(min_length(3), max_length(20))]
username: String,
#[zod(email)]
email: String,
#[zod(min(13.0), max(120.0), int)]
age: u32,
}
// validator: validate then manually deserialize
let user = User { ... };
user.validate()?;
// zod-rs: validate and deserialize from JSON in one call
let user = User::validate_and_parse(&json_data)?;
let user = User::from_json(r#"{"username":"alice","email":"alice@example.com","age":25}"#)?;
// Create a schema once, use it many times
let schema = User::schema();
let is_valid = schema.validate(&data).is_ok();
// Build schemas at runtime — not possible with validator
let schema = object()
.field("name", string().min(2))
.field("email", string().email());
// validator: "email: Invalid email"
// zod-rs: "user.profile.email: Invalid email address"