Rype: Ultra-Fast Type-Optimized Data Validation

Rype is not just another validation package; it's a lightning-fast, type-optimized solution designed specifically for TypeScript projects. Unlike other libraries, Rype has been fine-tuned to fully harness the power of TypeScript, providing unparalleled performance and type safety.

Requirements

• TypeScript v5+: Rype is optimized for TypeScript version 5 and above, ensuring compatibility with the latest TypeScript features and improvements.
• "strictNullChecks": true: To ensure robust type checking, please set "strictNullChecks": true inside your tsconfig.json configuration.

Key Features

• Blazing Speed: Rype is optimized for speed, delivering rapid validation results.
• Minimalistic: With a compact footprint, it's easy to integrate into your project.
• Robust Validation: Comprehensive validation rules for precise data validation.
• TypeScript Integration: Rype's type system integration ensures type safety throughout your codebase.
• Flexibility: Adaptable to simple data structures or complex objects.
• Intuitive API: Developer-friendly API for defining validation schemas.
• Type Safety: Rype prioritizes type safety by minimizing the use of "any" types in the codebase, resulting in a more robust and bug-free experience.

Why Rype?

In today's fast-paced development landscape, every millisecond counts, and type safety is paramount. Rype offers rapid validation with a small footprint, making it ideal for high-performance TypeScript applications, microservices, and projects where efficiency and type correctness are crucial. Elevate your project's performance while keeping your codebase lean and mean with Rype. Try it today and experience the future of type-optimized validation in TypeScript!

Bundlephobia results:

• Significantly Compact Size Compared to Alternatives

Note: This information may be outdated; please refer to the latest version of Bundlephobia(rype) for the most current data.

Performance Comparison with Others

• Env: Github Codespace
• Note: This benchmark may not accurately represent real-world scenarios. Actual performance may vary, and in many cases, all packages have demonstrated similar speeds. It's worth highlighting that all packages are optimized for speed.

If you'd like to explore and verify these results yourself, you can find the test codes available in the following repository: rype-benchmark. This way, you can run the tests and draw your own conclusions.

Installation

• with npm

npm i rype

• with yarn

yarn add rype

• with pnpm

pnpm add rype

Example

Here's a simple example demonstrating how to use Rype for data validation in TypeScript.

import { r } from 'rype'

// Define a schema for a string
const schema = r.string()

// Validate a string
const result1 = schema.parseTyped('My String') // Valid

// Attempt to validate a number (will result in a validation error)
const result2 = schema.parseTyped(100_100_100) // Error - In both runtime and TypeScript type level

Example 1: Primitive

const schema = r.string('String')
const result = schema.parseTyped('My String')
// Error (TypeScript also provides type-level error)
// 'My String' is not assignable to 'String'

const schema = r.string('String', 'Your String')
const result = schema.parseTyped('My String')
// 'My String' is not assignable to 'String' | 'Your String'

Note: You can apply similar checks to r.number() and r.boolean() as well

Example 2: Object

const schema = r.object({
  name: r.string(),
  age: r.number(),
})

schema.parseTyped({
  name: 'John Doe',
  age: 10,
})

Example 2.5: Record

const schema = r.record(r.string())

schema.parseTyped({
  name: 'John Doe',
  father: 'Parent Doe',
})

Example 2.75: Instance

const schema = r.instance(Array)

schema.parseTyped(['string', 100])

Example 3: Object with Array

const schema = r.object({
  name: r.string(),
  age: r.number(),
  hobbies: r.array(r.string()),
  someValues: r.array(r.string(), r.number()),
})

schema.parseTyped({
  name: 'John Doe',
  age: 10,
  hobbies: ['Cricket', 'Football'],
  someValues: ['Cricket', 100],
})

Example 4: Object with Tuple

const schema = r.object({
  name: r.string(),
  age: r.number(),
  unknown: r.tuple(r.string(), r.number()),
})

schema.parseTyped({
  name: 'John Doe',
  age: 10,
  unknown: ['string', 100],
})

Example 5: Object with Or

const schema = r.object({
  name: r.string(),
  age: r.number(),
  country: r.or(
    r.string('Bangladesh'),
    r.object({ name: r.string(), coords: r.number() })
  ),
})

schema.parseTyped({
  name: 'John Doe',
  age: 10,
  country: { name: 'Arab', coords: 100 },
})

Example 6: Setting Default Values

You can use the default method to set default values for fields in your Rype schema.

const schema = r.object({
  name: r.string(),
  age: r.number().default(18),
})

const result = schema.parseTyped({
  name: 'John Doe',
})

/* Result:
{
  name: 'John Doe',
  age: 18 // Default value applied
}
*/

Note:

• Works Everywhere: You can use the default method in various situations.
• Enhanced Type Support: Type support is seamlessly integrated with the default method.
• Runtime Consideration: While Rype generally doesn't examine default values right away, remember that for object and tuple types, a runtime validation takes place during data parsing. Keep in mind, this validation occurs when you're parsing data, not when you initially set the default value.

Example 7: Adding Custom Validation Logic

You can employ the validate method to incorporate custom validation logic.

const schema = r
  .object({
    name: r.string(),
    password: r.string(),
    confirmPassword: r.string(),
  })
  .validate((data) => {
    if (data.password !== data.confirmPassword) {
      return "Password doesn't matched"
    }
  })

const result = schema.parseTyped({
  name: 'John Doe',
  password: 'password',
  confirmPassword: 'another',
})

// Error: Password doesn't matched

Example 8: Customizing Error Messages

You can easily set custom error messages for specific cases during runtime checking using Rype.

Set custom error when invalid type error occurs

const schema = r.object({
  name: r.string().setTypeErrMsg('Name for user is invalid'),
  age: r.number().default(18),
})

const result = schema.parseTyped({ name: 0 })
// Error: Name for user is invalid

Set custom error when input is null or undefined

const schema = r.object({
  name: r.string().setRequiredErrMsg('User must have a name'),
  age: r.number().default(18),
  score: r.number().default(() => 100),
})

const result = schema.parseTyped({})
// Error: User must have a name

Available Schema Types

r.string()
r.number()
r.boolean()
r.tuple()
r.array()
r.object()
r.record()
r.instance()
r.or()

Different Parsing Methods

Rype offers a range of parsing methods that allow you to tailor your data validation process to various scenarios. These methods provide flexibility in handling validation errors and extracting validated data.

.parse: Runtime Error on Type Mismatch or Missing Schema Type

const result1 = schema.parse('My String') // Generates a runtime error if types don't match
const result2 = schema.parseTyped('My String') // Generates both runtime and type errors

• The .parse method triggers a runtime error if there is a type mismatch between the validated value and the schema, or if a type is specified in the schema but the input doesn't match it.
• The .parseTyped method additionally provides TypeScript type checking, ensuring type correctness in your codebase.

.filter: Returns Matched Value or Undefined on Validation Failure

const result3 = schema.filter('My String') // Returns the validated value or undefined on failure
const result4 = schema.filterTyped('My String') // Generates only a type error

• The .filter method returns the value if it matches the schema, and returns undefined if validation fails for a specific field.
• The .filterTyped method performs type checking, providing a TypeScript type error if the validation fails.

.safeParse: Returns Array with Data and Error

const result3 = schema.safeParse('My String') // Returns [data, undefined] on success
const result4 = schema.safeParseTyped('My String') // Generates only a type error

• The .safeParse method returns an array where the first element is the validated data and the second element is undefined on successful validation.
• If validation fails, the second element becomes the error output, and the first element is undefined.
• The .safeParseTyped method provides TypeScript type checking for error handling.

.safeParseList: Returns Array with Data and Errors

const result3 = schema.safeParseList('My String') // Returns [data, undefined] on success
const result4 = schema.safeParseListTyped('My String') // Generates only a type error

• The .safeParseList method returns an array where the first element is the validated data and the second element is undefined on successful validation.
• If validation fails, the second element becomes the error output as an array of RypeError, and the first element is undefined.
• The .safeParseListTyped method provides TypeScript type checking for error handling.

These parsing methods empower you to choose the appropriate approach for your validation needs, enhancing the precision and control over your data validation process.

Complex Example

⚠️: Wear glasses before watching this

import { r } from 'rype'

r.object({
  name: r.string('John Doe'),
  age: r.number().optional(),
  hobbies: r.tuple(r.string('Play')),
  intro: r.object({ address: r.string('BD') }),
  jobs: r.tuple(r.object({ name: r.number(200) })),
  asdf: r.tuple(r.string()),
}).parseTyped({
  age: 0,
  name: 'John Doe',
  hobbies: ['Play'],
  intro: { address: 'BD' },
  jobs: [{ name: 200 }],
  asdf: ['Boom'],
})

🚧 More will be added soon

Stay tuned for updates as we enhance and improve the Schema Core library. We appreciate your support in making this tool more powerful and user-friendly.