ArkType
ArkType is a runtime validation library for TypeScript that uses a syntax-first approach—definitions look exactly like TypeScript code. Unlike builder-pattern libraries (Zod, Yup), ArkType JIT-compiles schemas into optimized validators, achieving 10x-100x performance improvements.
Core Principles
- •Write TypeScript syntax, not builder chains -
"string >= 8"instead of.string().min(8) - •Zero drift between static and runtime types - Automatic type inference from definitions
- •JIT compilation for performance - Schemas compile to optimized JavaScript functions
- •Native recursion support - Use Scopes for circular references without
lazy()wrappers - •Transform during validation - Morphs allow data transformation in the validation pipeline
- •Standard Schema compliant - Works with React Hook Form, TanStack Query, tRPC, and other modern libraries
- •Type-level performance matters - Track both runtime speed AND TypeScript compiler instantiations
- •String definitions for simple types - Use
type("string")for primitives - •Object definitions for structures - Use
type({ name: "string" })for objects - •Scopes for complex models - Use
scope({ ... })for interconnected types
Quick Reference
Basic Validation
typescript
import { type } from "arktype"
// Simple types
const email = type("string.email")
const age = type("number >= 18")
const tags = type("string[]")
// Object schemas
const user = type({
name: "string",
age: "number >= 18",
"email?": "string.email", // Optional field
tags: "string[]"
})
// Validation
const { data, errors } = user({
name: "Alice",
age: 25,
tags: ["typescript"]
})
if (errors) {
console.error(errors.summary)
} else {
console.log(data.name) // Fully typed
}
Type Inference
typescript
// Infer TypeScript type from ArkType definition
const userSchema = type({ name: "string", age: "number" })
type User = typeof userSchema.infer
// User = { name: string; age: number }
Topics
Core Concepts
- •Scopes and Recursion - Circular references and interconnected types
- •Generics - Type functions for reusable schemas (e.g.,
Paginated<T>) - •Morphs - Transform data during validation (string to Date, trimming, etc.)
- •Pattern Matching - Type-safe switch statements with
.match()
Advanced Features
- •Constraints and Intersections - Ranges, regex, divisors, and type combinations
- •Custom Error Messages - Configure errors at global, scope, or type level
- •Framework Integration - Hono, Fastify, and Standard Schema usage
Performance and Migration
- •Benchmarking - Runtime and type-level performance testing with
@ark/attest - •Migrating from Zod - Syntax comparison and migration patterns
Common Patterns
Discriminated Unions (Automatic)
typescript
// ArkType detects discriminants automatically
const response = type([
{ status: "'success'", data: "string" },
"|",
{ status: "'error'", message: "string" }
])
Constraints with Intersection
typescript
// Email from specific domain
const staffEmail = type("string.email & /.*@company.com/")
// Even numbers under 100
const evenUnder100 = type("number % 2 & < 100")
Data Transformation
typescript
// Convert string to Date during validation
const dateSchema = type("string").morph((s) => new Date(s))
// Sanitize user input
const username = type("string > 0").morph(s => s.trim().toLowerCase())
ArkType vs Zod
| Feature | ArkType | Zod |
|---|---|---|
| Syntax | "string >= 5" | z.string().min(5) |
| Performance | JIT-compiled (10x-100x faster) | Interpreted |
| Recursion | Native via Scopes | Requires z.lazy() |
| Inference | typeof schema.infer | z.infer<typeof schema> |
| Bundle Size | ~40kB (zero deps) | ~13kB (zero deps) |
When to Use ArkType
- •High-throughput APIs - Performance critical validation (10k+ items)
- •Complex domain models - Recursive data structures (folder trees, graphs)
- •TypeScript-first teams - Prefer type syntax over builder patterns
- •Standard Schema adoption - Need library compatibility
- •Type-level optimization - Avoid "excessively deep instantiation" errors