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TypeBox
JSON Schema Type Builder with Static Type Resolution for TypeScript
Install
Node
$ npm install @sinclair/typebox --saveDeno
import { Static, Type } from 'https://deno.land/x/typebox/src/typebox.ts'Example
import { Static, Type } from '@sinclair/typebox'
const T = Type.String() // const T = { type: 'string' }
type T = Static<typeof T> // type T = stringOverview
TypeBox is a type builder library that creates in-memory JSON Schema objects that can be statically inferred as TypeScript types. The schemas produced by this library are designed to match the static type checking rules of the TypeScript compiler. TypeBox enables one to create unified types that can be statically checked by TypeScript and runtime asserted using standard JSON Schema validation.
TypeBox can be used as a simple tool to build up complex schemas or integrated into RPC or REST services to help validate JSON data received over the wire.
License MIT
Contents
- Install
- Overview
- Usage
- Types
- Modifiers
- Options
- Extended Types
- Reference Types
- Recursive Types
- Generic Types
- Unsafe Types
- Conditional Types
- Values
- Guards
- Strict
- Validation
- Compiler
- Benchmark
- Contribute
Usage
The following demonstrates TypeBox’s general usage.
import { Static, Type } from '@sinclair/typebox'
//--------------------------------------------------------------------------------------------
//
// Let's say you have the following type ...
//
//--------------------------------------------------------------------------------------------
type T = {
id: string,
name: string,
timestamp: number
}
//--------------------------------------------------------------------------------------------
//
// ... you can express this type in the following way.
//
//--------------------------------------------------------------------------------------------
const T = Type.Object({ // const T = {
id: Type.String(), // type: 'object',
name: Type.String(), // properties: {
timestamp: Type.Integer() // id: {
}) // type: 'string'
// },
// name: {
// type: 'string'
// },
// timestamp: {
// type: 'integer'
// }
// },
// required: [
// 'id',
// 'name',
// 'timestamp'
// ]
// }
//--------------------------------------------------------------------------------------------
//
// ... then infer back to the original static type this way.
//
//--------------------------------------------------------------------------------------------
type T = Static<typeof T> // type T = {
// id: string,
// name: string,
// timestamp: number
// }
//--------------------------------------------------------------------------------------------
//
// ... then use the type both as JSON schema and as a TypeScript type.
//
//--------------------------------------------------------------------------------------------
function receive(value: T) { // ... as a Type
if(JSON.validate(T, value)) { // ... as a Schema
// ok...
}
}Types
The following table outlines the TypeBox mappings between TypeScript and JSON schema.
┌────────────────────────────────┬─────────────────────────────┬────────────────────────────────┐
│ TypeBox │ TypeScript │ JSON Schema │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Any() │ type T = any │ const T = { } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Unknown() │ type T = unknown │ const T = { } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.String() │ type T = string │ const T = { │
│ │ │ type: 'string' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Number() │ type T = number │ const T = { │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Integer() │ type T = number │ const T = { │
│ │ │ type: 'integer' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Boolean() │ type T = boolean │ const T = { │
│ │ │ type: 'boolean' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Null() │ type T = null │ const T = { │
│ │ │ type: 'null' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.RegEx(/foo/) │ type T = string │ const T = { │
│ │ │ type: 'string', │
│ │ │ pattern: 'foo' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Literal(42) │ type T = 42 │ const T = { │
│ │ │ const: 42 │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Array( │ type T = number[] │ const T = { │
│ Type.Number() │ │ type: 'array', │
│ ) │ │ items: { │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Object({ │ type T = { │ const T = { │
│ x: Type.Number(), │ x: number, │ type: 'object', │
│ y: Type.Number() │ y: number │ properties: { │
│ }) │ } │ x: { │
│ │ │ type: 'number' │
│ │ │ }, │
│ │ │ y: { │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ }, │
│ │ │ required: ['x', 'y'] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Tuple([ │ type T = [number, number] │ const T = { │
│ Type.Number(), │ │ type: 'array', │
│ Type.Number() │ │ items: [{ │
│ ]) │ │ type: 'number' │
│ │ │ }, { │
│ │ │ type: 'number' │
│ │ │ }], │
│ │ │ additionalItems: false, │
│ │ │ minItems: 2, │
│ │ │ maxItems: 2 │
│ │ │ } │
│ │ │ │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ enum Foo { │ enum Foo { │ const T = { │
│ A, │ A, │ anyOf: [{ │
│ B │ B │ type: 'number', │
│ } │ } │ const: 0 │
│ │ │ }, { │
│ const T = Type.Enum(Foo) │ type T = Foo │ type: 'number', │
│ │ │ const: 1 │
│ │ │ }] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.KeyOf( │ type T = keyof { │ const T = { │
│ Type.Object({ │ x: number, │ anyOf: [{ │
│ x: Type.Number(), │ y: number │ type: 'string', │
│ y: Type.Number() │ } │ const: 'x' │
│ }) │ │ }, { │
│ ) │ │ type: 'string', │
│ │ │ const: 'y' │
│ │ │ }] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Union([ │ type T = string | number │ const T = { │
│ Type.String(), │ │ anyOf: [{ │
│ Type.Number() │ │ type: 'string' │
│ ]) │ │ }, { │
│ │ │ type: 'number' │
│ │ │ }] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Intersect([ │ type T = { │ const T = { │
│ Type.Object({ │ x: number │ type: 'object', │
│ x: Type.Number() │ } & { │ properties: { │
│ }), │ y: number │ x: { │
│ Type.Object({ │ } │ type: 'number' │
│ y: Type.Number() │ │ }, │
│ }) │ │ y: { │
│ ]) │ │ type: 'number' │
│ │ │ } │
│ │ │ }, │
│ │ │ required: ['x', 'y'] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Record( │ type T = Record< │ const T = { │
│ Type.String(), │ string, │ type: 'object', │
│ Type.Number() │ number, │ patternProperties: { │
│ ) │ > │ '^.*$': { │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Partial( │ type T = Partial<{ │ const T = { │
│ Type.Object({ │ x: number, │ type: 'object', │
│ x: Type.Number(), │ y: number │ properties: { │
│ y: Type.Number() | }> │ x: { │
│ }) │ │ type: 'number' │
│ ) │ │ }, │
│ │ │ y: { │
│ │ │ type: 'number' │
│ │ │ } │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Required( │ type T = Required<{ │ const T = { │
│ Type.Object({ │ x?: number, │ type: 'object', │
│ x: Type.Optional( │ y?: number │ properties: { │
│ Type.Number() | }> │ x: { │
│ ), │ │ type: 'number' │
│ y: Type.Optional( │ │ }, │
│ Type.Number() │ │ y: { │
│ ) │ │ type: 'number' │
│ }) │ │ } │
│ ) │ │ }, │
│ │ │ required: ['x', 'y'] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Pick( │ type T = Pick<{ │ const T = { │
│ Type.Object({ │ x: number, │ type: 'object', │
│ x: Type.Number(), │ y: number │ properties: { │
│ y: Type.Number() | }, 'x'> │ x: { │
│ }), ['x'] │ │ type: 'number' │
│ ) │ │ } │
│ │ │ }, │
│ │ │ required: ['x'] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Omit( │ type T = Omit<{ │ const T = { │
│ Type.Object({ │ x: number, │ type: 'object', │
│ x: Type.Number(), │ y: number │ properties: { │
│ y: Type.Number() | }, 'x'> │ y: { │
│ }), ['x'] │ │ type: 'number' │
│ ) │ │ } │
│ │ │ }, │
│ │ │ required: ['y'] │
│ │ │ } │
│ │ │ │
└────────────────────────────────┴─────────────────────────────┴────────────────────────────────┘Modifiers
TypeBox provides modifiers that can be applied to an objects properties. This allows for optional and readonly to be applied to that property. The following table illustates how they map between TypeScript and JSON Schema.
┌────────────────────────────────┬─────────────────────────────┬────────────────────────────────┐
│ TypeBox │ TypeScript │ JSON Schema │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Object({ │ type T = { │ const T = { │
│ name: Type.Optional( │ name?: string │ type: 'object', │
│ Type.String() │ } │ properties: { │
│ ) │ │ name: { │
│ }) │ │ type: 'string' │
│ │ │ } │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Object({ │ type T = { │ const T = { │
│ name: Type.Readonly( │ readonly name: string │ type: 'object', │
│ Type.String() │ } │ properties: { │
│ ) │ │ name: { │
│ }) │ │ type: 'string' │
│ │ │ } │
│ │ │ }, │
│ │ │ required: ['name'] │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Object({ │ type T = { │ const T = { │
│ name: Type.ReadonlyOptional( │ readonly name?: string │ type: 'object', │
│ Type.String() │ } │ properties: { │
│ ) │ │ name: { │
│ }) │ │ type: 'string' │
│ │ │ } │
│ │ │ } │
│ │ │ } │
│ │ │ │
└────────────────────────────────┴─────────────────────────────┴────────────────────────────────┘Options
You can pass additional JSON schema options on the last argument of any given type. The following are some examples.
// string must be an email
const T = Type.String({ format: 'email' })
// number must be a multiple of 2
const T = Type.Number({ multipleOf: 2 })
// array must have at least 5 integer values
const T = Type.Array(Type.Integer(), { minItems: 5 })Extended Types
In addition to JSON schema types, TypeBox provides several extended types that allow for function and constructor types to be composed. These additional types are not valid JSON Schema and will not validate using typical JSON Schema validation. However, these types can be used to frame JSON schema and describe callable interfaces that may receive JSON validated data. These types are as follows.
┌────────────────────────────────┬─────────────────────────────┬────────────────────────────────┐
│ TypeBox │ TypeScript │ Extended Schema │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Constructor([ │ type T = new ( │ const T = { │
│ Type.String(), │ arg0: string, │ type: 'constructor' │
│ Type.Number() │ arg1: number │ parameters: [{ │
│ ], Type.Boolean()) │ ) => boolean │ type: 'string' │
│ │ │ }, { │
│ │ │ type: 'number' │
│ │ │ }], │
│ │ │ return: { │
│ │ │ type: 'boolean' │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Function([ │ type T = ( │ const T = { │
| Type.String(), │ arg0: string, │ type : 'function', │
│ Type.Number() │ arg1: number │ parameters: [{ │
│ ], Type.Boolean()) │ ) => boolean │ type: 'string' │
│ │ │ }, { │
│ │ │ type: 'number' │
│ │ │ }], │
│ │ │ return: { │
│ │ │ type: 'boolean' │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Uint8Array() │ type T = Uint8Array │ const T = { │
│ │ │ type: 'object', │
│ │ │ specialized: 'Uint8Array' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Promise( │ type T = Promise<string> │ const T = { │
│ Type.String() │ │ type: 'promise', │
│ ) │ │ item: { │
│ │ │ type: 'string' │
│ │ │ } │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Undefined() │ type T = undefined │ const T = { │
│ │ │ type: 'object', │
│ │ │ specialized: 'Undefined' │
│ │ │ } │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Type.Void() │ type T = void │ const T = { │
│ │ │ type: 'null' │
│ │ │ } │
│ │ │ │
└────────────────────────────────┴─────────────────────────────┴────────────────────────────────┘Reference Types
Use Type.Ref(...) to create referenced types. The target type must specify an $id.
const T = Type.String({ $id: 'T' }) // const T = {
// $id: 'T',
// type: 'string'
// }
const R = Type.Ref(T) // const R = {
// $ref: 'T'
// }Recursive Types
Use Type.Recursive(...) to create recursive types.
const Node = Type.Recursive(Node => Type.Object({ // const Node = {
id: Type.String(), // $id: 'Node',
nodes: Type.Array(Node) // type: 'object',
}), { $id: 'Node' }) // properties: {
// id: {
// type: 'string'
// },
// nodes: {
// type: 'array',
// items: {
// $ref: 'Node'
// }
// }
// },
// required: [
// 'id',
// 'nodes'
// ]
// }
type Node = Static<typeof Node> // type Node = {
// id: string
// nodes: Node[]
// }
function test(node: Node) {
const id = node.nodes[0].nodes[0].nodes[0] // id is string
.nodes[0].nodes[0].nodes[0]
.nodes[0].nodes[0].nodes[0]
.id
}Generic Types
Use functions to create generic types. The following creates a generic Nullable<T> type.
import { Type, Static, TSchema } from '@sinclair/typebox'
const Nullable = <T extends TSchema>(type: T) => Type.Union([type, Type.Null()])
const T = Nullable(Type.String()) // const T = {
// anyOf: [{
// type: 'string'
// }, {
// type: 'null'
// }]
// }
type T = Static<typeof T> // type T = string | null
const U = Nullable(Type.Number()) // const U = {
// anyOf: [{
// type: 'number'
// }, {
// type: 'null'
// }]
// }
type U = Static<typeof U> // type U = number | nullUnsafe Types
Use Type.Unsafe(...) to create custom schemas with user defined inference rules.
const T = Type.Unsafe<string>({ type: 'number' }) // const T = {
// type: 'number'
// }
type T = Static<typeof T> // type T = stringThe Type.Unsafe(...) function can be used to create schemas for validators that require specific schema representations. An example of this would be OpenAPI’s nullable and enum schemas which are not provided by TypeBox. The following demonstrates using Type.Unsafe(...) to create these types.
import { Type, Static, TSchema } from '@sinclair/typebox'
//--------------------------------------------------------------------------------------------
//
// Nullable<T>
//
//--------------------------------------------------------------------------------------------
function Nullable<T extends TSchema>(schema: T) {
return Type.Unsafe<Static<T> | null>({ ...schema, nullable: true })
}
const T = Nullable(Type.String()) // const T = {
// type: 'string',
// nullable: true
// }
type T = Static<typeof T> // type T = string | null
//--------------------------------------------------------------------------------------------
//
// StringEnum<string[]>
//
//--------------------------------------------------------------------------------------------
function StringEnum<T extends string[]>(values: [...T]) {
return Type.Unsafe<T[number]>({ type: 'string', enum: values })
}
const T = StringEnum(['A', 'B', 'C']) // const T = {
// enum: ['A', 'B', 'C']
// }
type T = Static<typeof T> // type T = 'A' | 'B' | 'C'Conditional Types
Use Conditional.Extends(...) to create conditional mapped types.
import { Conditional } from '@sinclair/typebox/conditional'The following table shows the TypeBox mappings between TypeScript and JSON schema.
┌────────────────────────────────┬─────────────────────────────┬────────────────────────────────┐
│ TypeBox │ TypeScript │ JSON Schema │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Conditional.Extends( │ type T = │ const T = { │
│ Type.String(), │ string extends number │ const: false, │
│ Type.Number(), │ true : false │ type: 'boolean' │
│ Type.Literal(true), │ │ } │
│ Type.Literal(false) │ │ │
│ ) │ │ │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Conditional.Extract( │ type T = Extract< │ const T = { │
│ Type.Union([ │ 'a' | 'b' | 'c', │ anyOf: [{ │
│ Type.Literal('a'), │ 'a' | 'f' │ const: 'a' │
│ Type.Literal('b'), │ > │ type: 'string' │
│ Type.Literal('c') │ │ }] │
│ ]), │ │ } │
│ Type.Union([ │ │ │
│ Type.Literal('a'), │ │ │
│ Type.Literal('f') │ │ │
│ ]) │ │ │
│ ) │ │ │
│ │ │ │
├────────────────────────────────┼─────────────────────────────┼────────────────────────────────┤
│ const T = Conditional.Exclude( │ type T = Exclude< │ const T = { │
│ Type.Union([ │ 'a' | 'b' | 'c', │ anyOf: [{ │
│ Type.Literal('a'), │ 'a' │ const: 'b', │
│ Type.Literal('b'), │ > │ type: 'string' │
│ Type.Literal('c') │ │ }, { │
│ ]), │ │ const: 'c', │
│ Type.Union([ │ │ type: 'string' │
│ Type.Literal('a') │ │ }] │
│ ]) │ │ } │
│ ) │ │ │
│ │ │ │
└────────────────────────────────┴─────────────────────────────┴────────────────────────────────┘Values
Use Value.Create(...) to generate values from types.
import { Value } from '@sinclair/typebox/value'
import { Type } from '@sinclair/typebox'
const T = Type.Object({
x: Type.Number({ default: 1 }),
y: Type.Number()
})
const V = Value.Create(T) // const V = {
// x: 1,
// y: 0
// }Use Value.Cast(...) to cast a value into a given type.
import { Value } from '@sinclair/typebox/value'
import { Type } from '@sinclair/typebox'
const T = Type.Object({
x: Type.Number(),
y: Type.Number()
})
const A = Value.Cast(T, null) // const A = { x: 0, y: 0 }
const B = Value.Cast(T, { x: 1 }) // const B = { x: 1, y: 0 }
const C = Value.Cast(T, { x: 1, y: 2, z: 3 }) // const C = { x: 1, y: 2 }Guards
Use a TypeGuard to test if a value meets a TypeBox type specification. Guards can be helpful when reflecting types.
import { TypeGuard } from '@sinclair/typebox/guard'
import { Type } from '@sinclair/typebox'
const T = Type.String()
if(TypeGuard.TString(T)) {
// T is TString
}
Strict
TypeBox schemas contain the Kind and Modifier symbol properties. These properties are provided to enable runtime type reflection on schemas, as well as helping TypeBox internally compose types. These properties are not strictly valid JSON schema; so in some cases it may be desirable to omit them. TypeBox provides a Type.Strict() function that will omit these properties if necessary.
const T = Type.Object({ // const T = {
name: Type.Optional(Type.String()) // [Kind]: 'Object',
}) // type: 'object',
// properties: {
// name: {
// [Kind]: 'String',
// type: 'string',
// [Modifier]: 'Optional'
// }
// }
// }
const U = Type.Strict(T) // const U = {
// type: 'object',
// properties: {
// name: {
// type: 'string'
// }
// }
// }Validation
TypeBox schemas target JSON Schema draft 6 so any validator capable of draft 6 should be fine. A good library to use for validation in JavaScript environments is Ajv. The following example shows setting up Ajv to work with TypeBox.
$ npm install ajv ajv-formats --save//--------------------------------------------------------------------------------------------
//
// Import TypeBox and Ajv
//
//--------------------------------------------------------------------------------------------
import { Type } from '@sinclair/typebox'
import addFormats from 'ajv-formats'
import Ajv from 'ajv'
//--------------------------------------------------------------------------------------------
//
// Setup Ajv validator with the following options and formats
//
//--------------------------------------------------------------------------------------------
const ajv = addFormats(new Ajv({}), [
'date-time',
'time',
'date',
'email',
'hostname',
'ipv4',
'ipv6',
'uri',
'uri-reference',
'uuid',
'uri-template',
'json-pointer',
'relative-json-pointer',
'regex'
])
//--------------------------------------------------------------------------------------------
//
// Create a TypeBox type
//
//--------------------------------------------------------------------------------------------
const T = Type.Object({
x: Type.Number(),
y: Type.Number(),
z: Type.Number()
})
//--------------------------------------------------------------------------------------------
//
// Validate Data
//
//--------------------------------------------------------------------------------------------
const R = ajv.validate(T, { x: 1, y: 2, z: 3 }) // const R = truePlease refer to the official Ajv documentation for additional information on using Ajv.
Compiler
TypeBox provides an optional high performance runtime type checker that can be used in applications that require extremely fast validation. This type checker is optimized for TypeBox types only whose schematics are known in advance. If defining custom schemas with Type.Unsafe<T> please consider Ajv.
The following demonstrates its use.
import { TypeCompiler } from '@sinclair/typebox/compiler'
import { Type } from '@sinclair/typebox'
const C = TypeCompiler.Compile(Type.Object({ // const C: TypeCheck<TObject<{
x: Type.Number(), // x: TNumber;
y: Type.Number(), // y: TNumber;
z: Type.Number() // z: TNumber;
})) // }>>
const R = C.Check({ x: 1, y: 2, z: 3 }) // const R = true Validation errors can be read with the Errors(...) function.
const C = TypeCompiler.Compile(Type.Object({ // const C: TypeCheck<TObject<{
x: Type.Number(), // x: TNumber;
y: Type.Number(), // y: TNumber;
z: Type.Number() // z: TNumber;
})) // }>>
const value = { }
const errors = [...C.Errors(value)] // const errors = [{
// type: 14,
// schema: { type: 'number' },
// path: '/x',
// value: undefined,
// message: 'Expected number'
// }, {
// type: 14,
// schema: { type: 'number' },
// path: '/y',
// value: undefined,
// message: 'Expected number'
// }, {
// type: 14,
// schema: { type: 'number' },
// path: '/z',
// value: undefined,
// message: 'Expected number'
// }]Compiled routines can be inspected with the .Code() function.
const C = TypeCompiler.Compile(Type.String()) // const C: TypeCheck<TString>
console.log(C.Code()) // return function check(value) {
// return (
// (typeof value === 'string')
// )
// }Benchmark
This project maintains a set of benchmarks that measure Ajv and TypeCompiler compilation and validation performance. These benchmarks can be run locally by cloning this repository and running npm run benchmark. The results below show for Ajv version 8.11.0.
For additional comparative benchmarks, please refer to typescript-runtime-type-benchmarks.
Compile
This benchmark measures compilation performance for varying types. You can review this benchmark here.
┌──────────────────┬────────────┬──────────────┬──────────────┬──────────────┐
│ (index) │ Iterations │ Ajv │ TypeCompiler │ Performance │
├──────────────────┼────────────┼──────────────┼──────────────┼──────────────┤
│ Number │ 2000 │ ' 382 ms' │ ' 8 ms' │ ' 47.75 x' │
│ String │ 2000 │ ' 305 ms' │ ' 7 ms' │ ' 43.57 x' │
│ Boolean │ 2000 │ ' 305 ms' │ ' 5 ms' │ ' 61.00 x' │
│ Null │ 2000 │ ' 253 ms' │ ' 5 ms' │ ' 50.60 x' │
│ RegEx │ 2000 │ ' 475 ms' │ ' 10 ms' │ ' 47.50 x' │
│ ObjectA │ 2000 │ ' 2812 ms' │ ' 44 ms' │ ' 63.91 x' │
│ ObjectB │ 2000 │ ' 3045 ms' │ ' 34 ms' │ ' 89.56 x' │
│ Tuple │ 2000 │ ' 1324 ms' │ ' 19 ms' │ ' 69.68 x' │
│ Union │ 2000 │ ' 1347 ms' │ ' 26 ms' │ ' 51.81 x' │
│ Vector4 │ 2000 │ ' 1635 ms' │ ' 18 ms' │ ' 90.83 x' │
│ Matrix4 │ 2000 │ ' 928 ms' │ ' 10 ms' │ ' 92.80 x' │
│ Literal_String │ 2000 │ ' 349 ms' │ ' 5 ms' │ ' 69.80 x' │
│ Literal_Number │ 2000 │ ' 379 ms' │ ' 5 ms' │ ' 75.80 x' │
│ Literal_Boolean │ 2000 │ ' 376 ms' │ ' 6 ms' │ ' 62.67 x' │
│ Array_Number │ 2000 │ ' 733 ms' │ ' 10 ms' │ ' 73.30 x' │
│ Array_String │ 2000 │ ' 766 ms' │ ' 8 ms' │ ' 95.75 x' │
│ Array_Boolean │ 2000 │ ' 860 ms' │ ' 11 ms' │ ' 78.18 x' │
│ Array_ObjectA │ 2000 │ ' 3668 ms' │ ' 42 ms' │ ' 87.33 x' │
│ Array_ObjectB │ 2000 │ ' 3809 ms' │ ' 41 ms' │ ' 92.90 x' │
│ Array_Tuple │ 2000 │ ' 2219 ms' │ ' 17 ms' │ ' 130.53 x' │
│ Array_Union │ 2000 │ ' 1709 ms' │ ' 26 ms' │ ' 65.73 x' │
│ Array_Vector4 │ 2000 │ ' 2301 ms' │ ' 18 ms' │ ' 127.83 x' │
│ Array_Matrix4 │ 2000 │ ' 1594 ms' │ ' 12 ms' │ ' 132.83 x' │
└──────────────────┴────────────┴──────────────┴──────────────┴──────────────┘Validate
This benchmark measures validation performance for varying types. You can review this benchmark here.
┌──────────────────┬────────────┬──────────────┬──────────────┬──────────────┐
│ (index) │ Iterations │ Ajv │ TypeCompiler │ Performance │
├──────────────────┼────────────┼──────────────┼──────────────┼──────────────┤
│ Number │ 4000000 │ ' 18 ms' │ ' 16 ms' │ ' 1.13 x' │
│ String │ 4000000 │ ' 74 ms' │ ' 43 ms' │ ' 1.72 x' │
│ Boolean │ 4000000 │ ' 71 ms' │ ' 37 ms' │ ' 1.92 x' │
│ Null │ 4000000 │ ' 70 ms' │ ' 37 ms' │ ' 1.89 x' │
│ RegEx │ 4000000 │ ' 175 ms' │ ' 153 ms' │ ' 1.14 x' │
│ ObjectA │ 4000000 │ ' 124 ms' │ ' 87 ms' │ ' 1.43 x' │
│ ObjectB │ 4000000 │ ' 215 ms' │ ' 143 ms' │ ' 1.50 x' │
│ Tuple │ 4000000 │ ' 101 ms' │ ' 51 ms' │ ' 1.98 x' │
│ Union │ 4000000 │ ' 108 ms' │ ' 51 ms' │ ' 2.12 x' │
│ Recursive │ 4000000 │ ' 1647 ms' │ ' 626 ms' │ ' 2.63 x' │
│ Vector4 │ 4000000 │ ' 83 ms' │ ' 41 ms' │ ' 2.02 x' │
│ Matrix4 │ 4000000 │ ' 154 ms' │ ' 105 ms' │ ' 1.47 x' │
│ Literal_String │ 4000000 │ ' 101 ms' │ ' 37 ms' │ ' 2.73 x' │
│ Literal_Number │ 4000000 │ ' 69 ms' │ ' 35 ms' │ ' 1.97 x' │
│ Literal_Boolean │ 4000000 │ ' 71 ms' │ ' 35 ms' │ ' 2.03 x' │
│ Array_Number │ 4000000 │ ' 117 ms' │ ' 61 ms' │ ' 1.92 x' │
│ Array_String │ 4000000 │ ' 116 ms' │ ' 73 ms' │ ' 1.59 x' │
│ Array_Boolean │ 4000000 │ ' 129 ms' │ ' 89 ms' │ ' 1.45 x' │
│ Array_ObjectA │ 4000000 │ ' 10582 ms' │ ' 6854 ms' │ ' 1.54 x' │
│ Array_ObjectB │ 4000000 │ ' 11539 ms' │ ' 8224 ms' │ ' 1.40 x' │
│ Array_Tuple │ 4000000 │ ' 362 ms' │ ' 282 ms' │ ' 1.28 x' │
│ Array_Union │ 4000000 │ ' 950 ms' │ ' 355 ms' │ ' 2.68 x' │
│ Array_Recursive │ 4000000 │ ' 28047 ms' │ ' 9567 ms' │ ' 2.93 x' │
│ Array_Vector4 │ 4000000 │ ' 372 ms' │ ' 200 ms' │ ' 1.86 x' │
│ Array_Matrix4 │ 4000000 │ ' 1521 ms' │ ' 1244 ms' │ ' 1.22 x' │
└──────────────────┴────────────┴──────────────┴──────────────┴──────────────┘Contribute
TypeBox is open to community contribution. Please ensure you submit an open issue before submitting your pull request. The TypeBox project preferences open community discussion prior to accepting new features.