cimatic/zod

zod_gen

Generate Zod schemas and TypeScript types from Rust types with zero runtime overhead and full type safety.

Why zod_gen?

We built zod_gen to solve a specific gap in Rust→TypeScript sharing: many projects need more than generated TypeScript declarations. They also need runtime validation for untrusted JSON coming from APIs, forms, queues, and other boundaries.

zod_gen keeps Rust as the source of truth and generates Zod schemas that can be used directly in TypeScript. That gives you .parse() / .safeParse() for runtime validation and z.infer for static typing from the same generated output.

🚀 Features

Zero-cost abstractions - No runtime overhead, pure compile-time code generation
Full type safety - End-to-end type safety from Rust to TypeScript
Serde rename support - Automatic handling of #[serde(rename = "...")] attributes
Derive macro support - #[derive(ZodSchema)] for automatic schema generation
Primitive type support - Built-in support for all common Rust types
Generic types - Automatic handling of Option<T>, Vec<T>, and more
Custom schemas - Manual implementation for complex types
Batch generation - Generate multiple schemas in a single TypeScript file

📦 Installation

Add both crates to your Cargo.toml:

[dependencies]
zod_gen = "1.4.0"
zod_gen_derive = "1.4.0"

🔧 Quick Start

Using the derive macro (recommended)

use zod_gen::ZodSchema;
use zod_gen_derive::ZodSchema;

#[derive(ZodSchema)]
struct User {
    id: u64,
    name: String,
    email: String,
    is_admin: bool,
    tags: Vec<String>,
    profile: Option<UserProfile>,
}

#[derive(ZodSchema)]
struct UserProfile {
    bio: String,
    avatar_url: Option<String>,
}

#[derive(ZodSchema)]
enum UserStatus {
    #[serde(rename = "active")]
    Active,
    #[serde(rename = "inactive")]
    Inactive,
    #[serde(rename = "suspended")]
    Suspended,
}

fn main() {
    // Generate Zod schema
    println!("{}", User::zod_schema());
    // Output: z.object({
    //   id: z.number(),
    //   name: z.string(),
    //   email: z.string(),
    //   is_admin: z.boolean(),
    //   tags: z.array(z.string()),
    //   profile: z.object({ bio: z.string(), avatar_url: z.string().optional() }).optional()
    // })
}

Manual implementation

use zod_gen::{ZodSchema, zod_object, zod_string, zod_number, zod_boolean};

struct User {
    id: u64,
    name: String,
    is_admin: bool,
}

impl ZodSchema for User {
    fn zod_schema() -> String {
        zod_object(&[
            ("id", zod_number()),
            ("name", zod_string()),
            ("is_admin", zod_boolean()),
        ])
    }
}

Single file generation with ZodGenerator

use zod_gen::ZodGenerator;
use std::fs;

fn generate_types() {
    let mut generator = ZodGenerator::new();

    // Add all your types with meaningful names
    generator.add_schema::<User>("User");
    generator.add_schema::<UserProfile>("UserProfile");
    generator.add_schema::<UserStatus>("UserStatus");

    // Generate a single TypeScript file with all schemas
    let content = generator.generate();
    fs::write("types/schemas.ts", content).unwrap();
}

📚 Generated TypeScript

The generated TypeScript provides both Zod schemas and inferred types in a single file:

// Generated schemas.ts
import * as z from 'zod';

export const UserSchema = z.object({
  id: z.number(),
  name: z.string(),
  email: z.string(),
  is_admin: z.boolean(),
  tags: z.array(z.string()),
  profile: z.object({
    bio: z.string(),
    avatar_url: z.string().optional()
  }).optional()
});
export type User = z.infer<typeof UserSchema>;

export const UserProfileSchema = z.object({
  bio: z.string(),
  avatar_url: z.string().optional()
});
export type UserProfile = z.infer<typeof UserProfileSchema>;

export const UserStatusSchema = z.union([z.literal('active'), z.literal('inactive'), z.literal('suspended')]);
export type UserStatus = z.infer<typeof UserStatusSchema>;

Use it in your TypeScript code:

import { UserSchema, type User } from './types/schemas';

// Runtime validation
const validateUser = (data: unknown): User => {
  return UserSchema.parse(data);
};

// Type-safe API calls
const createUser = async (user: User): Promise<User> => {
  const response = await fetch('/api/users', {
    method: 'POST',
    body: JSON.stringify(user),
  });
  return UserSchema.parse(await response.json());
};

🏗️ Architecture

This repository contains two crates:

`zod_gen` - Core Library

ZodSchema trait for defining schemas
Helper functions for building Zod expressions
ZodGenerator for batch file generation
Built-in implementations for primitive types

`zod_gen_derive` - Derive Macro

#[derive(ZodSchema)] procedural macro
Supports structs with named fields
Supports Serde enum representations (externally tagged, internally tagged, adjacently tagged, untagged)
Automatic dependency resolution

🎯 Supported Types

Primitives

String, &str → z.string() (TypeScript: string)
i32, i64, u32, u64, f32, f64 → z.number() (TypeScript: number)
bool → z.boolean() (TypeScript: boolean)

Generics

Option<T> → T.optional() (TypeScript: Optional<T>)
Vec<T> → z.array(T) (TypeScript: Array<T>)
HashMap<String, T> → z.record(z.string(), T) (TypeScript: Record<string, T>)
Custom collections via manual implementation

Structs

Named fields → z.object({ ... })
Nested structs supported

Enums

Externally tagged (default) → z.union([ ... ]) with literals/objects
Internally tagged (#[serde(tag = "...")]) → z.discriminatedUnion(...)
Adjacently tagged (#[serde(tag = "...", content = "...")]) → z.discriminatedUnion(...)
Untagged (#[serde(untagged)]) → z.union([ ... ])
Serde rename support → #[serde(rename = "custom_name")] → z.literal('custom_name')
Internally tagged newtype structs are flattened via z.intersection(...)

🎯 Serde Rename Support

zod_gen automatically handles #[serde(rename = "...")] attributes, ensuring your TypeScript types match your serialized JSON exactly:

use serde::{Serialize, Deserialize};
use zod_gen_derive::ZodSchema;

#[derive(ZodSchema, Serialize, Deserialize)]
enum ApiStatus {
    #[serde(rename = "success")]
    Success,
    #[serde(rename = "error")]
    Error,
    #[serde(rename = "pending")]
    Pending,
}

#[derive(ZodSchema, Serialize, Deserialize)]
enum UserRole {
    #[serde(rename = "admin")]
    Administrator,
    #[serde(rename = "user")]
    RegularUser,
    #[serde(rename = "guest")]
    GuestUser,
}

Generated TypeScript:

export const ApiStatusSchema = z.union([z.literal('success'), z.literal('error'), z.literal('pending')]);
export type ApiStatus = z.infer<typeof ApiStatusSchema>;

export const UserRoleSchema = z.union([z.literal('admin'), z.literal('user'), z.literal('guest')]);
export type UserRole = z.infer<typeof UserRoleSchema>;

Type Safety Benefits:

// ✅ TypeScript accepts the serde-renamed values
const status: ApiStatus = 'success';
const role: UserRole = 'admin';

// ❌ TypeScript catches typos with the Rust variant names
const badStatus: ApiStatus = 'Success'; // Error: Type '"Success"' is not assignable to type 'ApiStatus'
const badRole: UserRole = 'Administrator'; // Error: Type '"Administrator"' is not assignable to type 'UserRole'

This ensures perfect alignment between your Rust API and TypeScript frontend, catching serialization mismatches at compile time.

🎯 Serde Enum Representations

zod_gen mirrors Serde's JSON representations for enums:

Externally tagged (default) → z.union([ ... ]) of literals/objects
Internally tagged (#[serde(tag = "...")]) → z.discriminatedUnion(...)
Adjacently tagged (#[serde(tag = "...", content = "...")]) → z.discriminatedUnion(...)
Untagged (#[serde(untagged)]) → z.union([ ... ])

Internally tagged newtype variants that wrap structs are flattened via z.intersection(...).

🔧 Advanced Usage

Schema Generation Strategy

By default, zod_gen generates inline schemas for nested objects. This means that complex types are expanded directly into their Zod representation:

#[derive(ZodSchema)]
struct User {
    id: u64,
    name: String,
    profile: Option<UserProfile>,
}

#[derive(ZodSchema)]
struct UserProfile {
    bio: String,
    avatar_url: Option<String>,
}

// Generates inline schema:
// z.object({
//   id: z.number(),
//   name: z.string(),
//   profile: z.object({
//     bio: z.string(),
//     avatar_url: z.string().nullable()
//   }).nullable()
// })

This approach works consistently across all generic types:

use std::collections::HashMap;

// HashMap<String, User> generates:
// z.record(z.string(), z.object({
//   id: z.number(),
//   name: z.string(),
//   profile: z.object({
//     bio: z.string(),
//     avatar_url: z.string().nullable()
//   }).nullable()
// }))

Benefits of inline schemas:

✅ Self-contained - no external dependencies
✅ Works with any nesting level
✅ Consistent behavior across all types
✅ No need to manage schema imports

Considerations:

Schema duplication if the same type is used in multiple places
Larger generated schemas for deeply nested structures

User-Controlled Naming

You provide the TypeScript type names when adding schemas to the generator:

let mut gen = ZodGenerator::new();

// Use meaningful names for your TypeScript types
gen.add_schema::<HashMap<String, User>>("UserMap");
gen.add_schema::<Vec<User>>("UserList");
gen.add_schema::<Option<UserProfile>>("OptionalProfile");

This generates clean TypeScript with your chosen names:

export const UserMapSchema = z.record(z.string(), UserSchema);
export type UserMap = z.infer<typeof UserMapSchema>;

export const UserListSchema = z.array(UserSchema);
export type UserList = z.infer<typeof UserListSchema>;

Benefits:

Full control over TypeScript type names
Meaningful names instead of auto-generated ones
No magic - you decide what gets exported
TypeScript types are inferred from Zod schemas using z.infer<>

Single File Output

The ZodGenerator creates a single TypeScript file containing all your schemas. This approach:

Simplifies file management - No need to track multiple files
Reduces complexity - One file, one import
Improves maintainability - All schemas in one place
Enables tree-shaking - Import only what you need

If you need multiple files, simply create multiple generators:

// Generate API types
let mut api_gen = ZodGenerator::new();
api_gen.add_schema::<User>("User");
api_gen.add_schema::<Post>("Post");
std::fs::write("types/api.ts", api_gen.generate()).unwrap();

// Generate config types
let mut config_gen = ZodGenerator::new();
config_gen.add_schema::<AppConfig>("AppConfig");
std::fs::write("types/config.ts", config_gen.generate()).unwrap();

Custom Schema Implementation

use zod_gen::ZodSchema;
use chrono::{DateTime, Utc};

impl ZodSchema for DateTime<Utc> {
    fn zod_schema() -> String {
        "z.string().datetime()".to_string()
    }
}

Integration with Build Scripts

Create a build.rs file:

use zod_gen::ZodGenerator;

fn main() {
    let mut generator = ZodGenerator::new();
    generator.add_schema::<MyType>("MyType");

    // Generate during build
    let content = generator.generate();
    std::fs::write("frontend/types/schemas.ts", content).unwrap();
}

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

🔄 CI/CD Pipeline

This project uses GitHub Actions for comprehensive automation:

🧪 Continuous Integration: Tests run on every PR and push
- Multi-version Rust testing (stable, beta, nightly)
- Code formatting and linting with clippy
- Documentation building and security audits
- Example validation and code coverage
🚀 Automated Releases: Tag-triggered releases
- Automatic publishing to crates.io
- GitHub release creation with changelog
- Full validation before publishing
🔒 Security & Maintenance:
- Weekly dependency updates via automated PRs
- Security vulnerability scanning
- Breaking change detection on PRs
📚 Documentation: Auto-deployed to GitHub Pages

📋 PR Guidelines

Follow Conventional Commits format
Update CHANGELOG.md for non-documentation changes
Ensure all tests pass and examples work
Code must be formatted (cargo fmt) and pass clippy lints

Development Setup

git clone https://github.com/cimatic/zod_gen.git
cd zod_gen

# The rust-toolchain.toml ensures you use the same Rust version as CI
cargo test --workspace

# Run clippy with CI-equivalent flags
./scripts/clippy-ci.sh

See DEVELOPMENT.md for detailed development guidelines and CI consistency tips.

Running Examples

# Manual ZodSchema implementation
cargo run --example basic_usage

# Using the derive macro for automatic schema generation
cargo run --example derive_example

# Using ZodGenerator for multiple schemas with custom naming
cargo run --example generator_example

zod_gen vs ts-rs

ts-rs is an excellent Rust→TypeScript generator, especially if you only need TypeScript type declarations.

	`zod_gen`	`ts-rs`
Primary output	Zod schemas + `z.infer` TypeScript types	TypeScript type declarations
Runtime validation	Yes, via generated Zod schemas	No, focuses on TypeScript bindings
Frontend dependency	Zod	None required by generated types
Typical workflow	Generate schemas once, then validate and infer from the same file	Export TS bindings for compile-time sharing
Best fit	API contracts, form validation, parsing untrusted JSON, Zod-first codebases	Projects that only need shared TS types

When to choose zod_gen

Consider zod_gen over ts-rs when you:

already use Zod in your frontend or TypeScript services
want runtime validation and static typing from one generated artifact
want generated schemas ready for .parse() / .safeParse() at API boundaries
prefer a single generated file containing named schemas and inferred types

When ts-rs may be enough

Consider ts-rs when you:

only need TypeScript type declarations
do not want a Zod dependency in generated output
already validate payloads some other way and just want Rust/TypeScript type sharing

🙏 Acknowledgments

Zod - Runtime type validation for TypeScript
serde - Inspiration for the derive macro pattern
ts-rs - Alternative approach to Rust→TypeScript codegen

Built with ❤️ by the Cimatic team

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

zod_gen

Generate Zod schemas and TypeScript types from Rust types with zero runtime overhead and full type safety.

Why zod_gen?

🚀 Features

Zero-cost abstractions - No runtime overhead, pure compile-time code generation
Full type safety - End-to-end type safety from Rust to TypeScript
Serde rename support - Automatic handling of #[serde(rename = "...")] attributes
Derive macro support - #[derive(ZodSchema)] for automatic schema generation
Primitive type support - Built-in support for all common Rust types
Generic types - Automatic handling of Option<T>, Vec<T>, and more
Custom schemas - Manual implementation for complex types
Batch generation - Generate multiple schemas in a single TypeScript file

📦 Installation

Add both crates to your Cargo.toml:

[dependencies]
zod_gen = "1.4.0"
zod_gen_derive = "1.4.0"

🔧 Quick Start

Using the derive macro (recommended)

use zod_gen::ZodSchema;
use zod_gen_derive::ZodSchema;

#[derive(ZodSchema)]
struct User {
    id: u64,
    name: String,
    email: String,
    is_admin: bool,
    tags: Vec<String>,
    profile: Option<UserProfile>,
}

#[derive(ZodSchema)]
struct UserProfile {
    bio: String,
    avatar_url: Option<String>,
}

#[derive(ZodSchema)]
enum UserStatus {
    #[serde(rename = "active")]
    Active,
    #[serde(rename = "inactive")]
    Inactive,
    #[serde(rename = "suspended")]
    Suspended,
}

fn main() {
    // Generate Zod schema
    println!("{}", User::zod_schema());
    // Output: z.object({
    //   id: z.number(),
    //   name: z.string(),
    //   email: z.string(),
    //   is_admin: z.boolean(),
    //   tags: z.array(z.string()),
    //   profile: z.object({ bio: z.string(), avatar_url: z.string().optional() }).optional()
    // })
}

Manual implementation

use zod_gen::{ZodSchema, zod_object, zod_string, zod_number, zod_boolean};

struct User {
    id: u64,
    name: String,
    is_admin: bool,
}

impl ZodSchema for User {
    fn zod_schema() -> String {
        zod_object(&[
            ("id", zod_number()),
            ("name", zod_string()),
            ("is_admin", zod_boolean()),
        ])
    }
}

Single file generation with ZodGenerator

use zod_gen::ZodGenerator;
use std::fs;

fn generate_types() {
    let mut generator = ZodGenerator::new();

    // Add all your types with meaningful names
    generator.add_schema::<User>("User");
    generator.add_schema::<UserProfile>("UserProfile");
    generator.add_schema::<UserStatus>("UserStatus");

    // Generate a single TypeScript file with all schemas
    let content = generator.generate();
    fs::write("types/schemas.ts", content).unwrap();
}

📚 Generated TypeScript

The generated TypeScript provides both Zod schemas and inferred types in a single file:

// Generated schemas.ts
import * as z from 'zod';

export const UserSchema = z.object({
  id: z.number(),
  name: z.string(),
  email: z.string(),
  is_admin: z.boolean(),
  tags: z.array(z.string()),
  profile: z.object({
    bio: z.string(),
    avatar_url: z.string().optional()
  }).optional()
});
export type User = z.infer<typeof UserSchema>;

export const UserProfileSchema = z.object({
  bio: z.string(),
  avatar_url: z.string().optional()
});
export type UserProfile = z.infer<typeof UserProfileSchema>;

export const UserStatusSchema = z.union([z.literal('active'), z.literal('inactive'), z.literal('suspended')]);
export type UserStatus = z.infer<typeof UserStatusSchema>;

Use it in your TypeScript code:

import { UserSchema, type User } from './types/schemas';

// Runtime validation
const validateUser = (data: unknown): User => {
  return UserSchema.parse(data);
};

// Type-safe API calls
const createUser = async (user: User): Promise<User> => {
  const response = await fetch('/api/users', {
    method: 'POST',
    body: JSON.stringify(user),
  });
  return UserSchema.parse(await response.json());
};

🏗️ Architecture

This repository contains two crates:

`zod_gen` - Core Library

ZodSchema trait for defining schemas
Helper functions for building Zod expressions
ZodGenerator for batch file generation
Built-in implementations for primitive types

`zod_gen_derive` - Derive Macro

#[derive(ZodSchema)] procedural macro
Supports structs with named fields
Supports Serde enum representations (externally tagged, internally tagged, adjacently tagged, untagged)
Automatic dependency resolution

🎯 Supported Types

Primitives

String, &str → z.string() (TypeScript: string)
i32, i64, u32, u64, f32, f64 → z.number() (TypeScript: number)
bool → z.boolean() (TypeScript: boolean)

Generics

Option<T> → T.optional() (TypeScript: Optional<T>)
Vec<T> → z.array(T) (TypeScript: Array<T>)
HashMap<String, T> → z.record(z.string(), T) (TypeScript: Record<string, T>)
Custom collections via manual implementation

Structs

Named fields → z.object({ ... })
Nested structs supported

Enums

Externally tagged (default) → z.union([ ... ]) with literals/objects
Internally tagged (#[serde(tag = "...")]) → z.discriminatedUnion(...)
Adjacently tagged (#[serde(tag = "...", content = "...")]) → z.discriminatedUnion(...)
Untagged (#[serde(untagged)]) → z.union([ ... ])
Serde rename support → #[serde(rename = "custom_name")] → z.literal('custom_name')
Internally tagged newtype structs are flattened via z.intersection(...)

🎯 Serde Rename Support

zod_gen automatically handles #[serde(rename = "...")] attributes, ensuring your TypeScript types match your serialized JSON exactly:

use serde::{Serialize, Deserialize};
use zod_gen_derive::ZodSchema;

#[derive(ZodSchema, Serialize, Deserialize)]
enum ApiStatus {
    #[serde(rename = "success")]
    Success,
    #[serde(rename = "error")]
    Error,
    #[serde(rename = "pending")]
    Pending,
}

#[derive(ZodSchema, Serialize, Deserialize)]
enum UserRole {
    #[serde(rename = "admin")]
    Administrator,
    #[serde(rename = "user")]
    RegularUser,
    #[serde(rename = "guest")]
    GuestUser,
}

Generated TypeScript:

export const ApiStatusSchema = z.union([z.literal('success'), z.literal('error'), z.literal('pending')]);
export type ApiStatus = z.infer<typeof ApiStatusSchema>;

export const UserRoleSchema = z.union([z.literal('admin'), z.literal('user'), z.literal('guest')]);
export type UserRole = z.infer<typeof UserRoleSchema>;

Type Safety Benefits:

// ✅ TypeScript accepts the serde-renamed values
const status: ApiStatus = 'success';
const role: UserRole = 'admin';

// ❌ TypeScript catches typos with the Rust variant names
const badStatus: ApiStatus = 'Success'; // Error: Type '"Success"' is not assignable to type 'ApiStatus'
const badRole: UserRole = 'Administrator'; // Error: Type '"Administrator"' is not assignable to type 'UserRole'

This ensures perfect alignment between your Rust API and TypeScript frontend, catching serialization mismatches at compile time.

🎯 Serde Enum Representations

zod_gen mirrors Serde's JSON representations for enums:

Externally tagged (default) → z.union([ ... ]) of literals/objects
Internally tagged (#[serde(tag = "...")]) → z.discriminatedUnion(...)
Adjacently tagged (#[serde(tag = "...", content = "...")]) → z.discriminatedUnion(...)
Untagged (#[serde(untagged)]) → z.union([ ... ])

Internally tagged newtype variants that wrap structs are flattened via z.intersection(...).

🔧 Advanced Usage

Schema Generation Strategy

By default, zod_gen generates inline schemas for nested objects. This means that complex types are expanded directly into their Zod representation:

#[derive(ZodSchema)]
struct User {
    id: u64,
    name: String,
    profile: Option<UserProfile>,
}

#[derive(ZodSchema)]
struct UserProfile {
    bio: String,
    avatar_url: Option<String>,
}

// Generates inline schema:
// z.object({
//   id: z.number(),
//   name: z.string(),
//   profile: z.object({
//     bio: z.string(),
//     avatar_url: z.string().nullable()
//   }).nullable()
// })

This approach works consistently across all generic types:

use std::collections::HashMap;

// HashMap<String, User> generates:
// z.record(z.string(), z.object({
//   id: z.number(),
//   name: z.string(),
//   profile: z.object({
//     bio: z.string(),
//     avatar_url: z.string().nullable()
//   }).nullable()
// }))

Benefits of inline schemas:

✅ Self-contained - no external dependencies
✅ Works with any nesting level
✅ Consistent behavior across all types
✅ No need to manage schema imports

Considerations:

Schema duplication if the same type is used in multiple places
Larger generated schemas for deeply nested structures

User-Controlled Naming

You provide the TypeScript type names when adding schemas to the generator:

let mut gen = ZodGenerator::new();

// Use meaningful names for your TypeScript types
gen.add_schema::<HashMap<String, User>>("UserMap");
gen.add_schema::<Vec<User>>("UserList");
gen.add_schema::<Option<UserProfile>>("OptionalProfile");

This generates clean TypeScript with your chosen names:

export const UserMapSchema = z.record(z.string(), UserSchema);
export type UserMap = z.infer<typeof UserMapSchema>;

export const UserListSchema = z.array(UserSchema);
export type UserList = z.infer<typeof UserListSchema>;

Benefits:

Full control over TypeScript type names
Meaningful names instead of auto-generated ones
No magic - you decide what gets exported
TypeScript types are inferred from Zod schemas using z.infer<>

Single File Output

The ZodGenerator creates a single TypeScript file containing all your schemas. This approach:

Simplifies file management - No need to track multiple files
Reduces complexity - One file, one import
Improves maintainability - All schemas in one place
Enables tree-shaking - Import only what you need

If you need multiple files, simply create multiple generators:

// Generate API types
let mut api_gen = ZodGenerator::new();
api_gen.add_schema::<User>("User");
api_gen.add_schema::<Post>("Post");
std::fs::write("types/api.ts", api_gen.generate()).unwrap();

// Generate config types
let mut config_gen = ZodGenerator::new();
config_gen.add_schema::<AppConfig>("AppConfig");
std::fs::write("types/config.ts", config_gen.generate()).unwrap();

Custom Schema Implementation

use zod_gen::ZodSchema;
use chrono::{DateTime, Utc};

impl ZodSchema for DateTime<Utc> {
    fn zod_schema() -> String {
        "z.string().datetime()".to_string()
    }
}

Integration with Build Scripts

Create a build.rs file:

use zod_gen::ZodGenerator;

fn main() {
    let mut generator = ZodGenerator::new();
    generator.add_schema::<MyType>("MyType");

    // Generate during build
    let content = generator.generate();
    std::fs::write("frontend/types/schemas.ts", content).unwrap();
}

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

🔄 CI/CD Pipeline

This project uses GitHub Actions for comprehensive automation:

🧪 Continuous Integration: Tests run on every PR and push
- Multi-version Rust testing (stable, beta, nightly)
- Code formatting and linting with clippy
- Documentation building and security audits
- Example validation and code coverage
🚀 Automated Releases: Tag-triggered releases
- Automatic publishing to crates.io
- GitHub release creation with changelog
- Full validation before publishing
🔒 Security & Maintenance:
- Weekly dependency updates via automated PRs
- Security vulnerability scanning
- Breaking change detection on PRs
📚 Documentation: Auto-deployed to GitHub Pages

📋 PR Guidelines

Follow Conventional Commits format
Update CHANGELOG.md for non-documentation changes
Ensure all tests pass and examples work
Code must be formatted (cargo fmt) and pass clippy lints

Development Setup

git clone https://github.com/cimatic/zod_gen.git
cd zod_gen

# The rust-toolchain.toml ensures you use the same Rust version as CI
cargo test --workspace

# Run clippy with CI-equivalent flags
./scripts/clippy-ci.sh

See DEVELOPMENT.md for detailed development guidelines and CI consistency tips.

Running Examples

# Manual ZodSchema implementation
cargo run --example basic_usage

# Using the derive macro for automatic schema generation
cargo run --example derive_example

# Using ZodGenerator for multiple schemas with custom naming
cargo run --example generator_example

zod_gen vs ts-rs

ts-rs is an excellent Rust→TypeScript generator, especially if you only need TypeScript type declarations.

	`zod_gen`	`ts-rs`
Primary output	Zod schemas + `z.infer` TypeScript types	TypeScript type declarations
Runtime validation	Yes, via generated Zod schemas	No, focuses on TypeScript bindings
Frontend dependency	Zod	None required by generated types
Typical workflow	Generate schemas once, then validate and infer from the same file	Export TS bindings for compile-time sharing
Best fit	API contracts, form validation, parsing untrusted JSON, Zod-first codebases	Projects that only need shared TS types

When to choose zod_gen

Consider zod_gen over ts-rs when you:

already use Zod in your frontend or TypeScript services
want runtime validation and static typing from one generated artifact
want generated schemas ready for .parse() / .safeParse() at API boundaries
prefer a single generated file containing named schemas and inferred types

When ts-rs may be enough

Consider ts-rs when you:

only need TypeScript type declarations
do not want a Zod dependency in generated output
already validate payloads some other way and just want Rust/TypeScript type sharing

🙏 Acknowledgments

Zod - Runtime type validation for TypeScript
serde - Inspiration for the derive macro pattern
ts-rs - Alternative approach to Rust→TypeScript codegen

Built with ❤️ by the Cimatic team

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

cimatic/zod_gen（新しいタブで開きます）

README

zod_gen

Why zod_gen?

🚀 Features

📦 Installation

🔧 Quick Start

Using the derive macro (recommended)

Manual implementation

Single file generation with ZodGenerator

📚 Generated TypeScript

🏗️ Architecture

zod_gen - Core Library

zod_gen_derive - Derive Macro

🎯 Supported Types

Primitives

Generics

Structs

Enums

🎯 Serde Rename Support

🎯 Serde Enum Representations

🔧 Advanced Usage

Schema Generation Strategy

User-Controlled Naming

Single File Output

Custom Schema Implementation

Integration with Build Scripts

🤝 Contributing

🔄 CI/CD Pipeline

📋 PR Guidelines

Development Setup

Running Examples

zod_gen vs ts-rs

When to choose zod_gen

When ts-rs may be enough

🙏 Acknowledgments

📄 License

README

zod_gen

Why zod_gen?

🚀 Features

📦 Installation

🔧 Quick Start

Using the derive macro (recommended)

Manual implementation

Single file generation with ZodGenerator

📚 Generated TypeScript

🏗️ Architecture

zod_gen - Core Library

zod_gen_derive - Derive Macro

🎯 Supported Types

Primitives

Generics

Structs

Enums

🎯 Serde Rename Support

🎯 Serde Enum Representations

🔧 Advanced Usage

Schema Generation Strategy

User-Controlled Naming

Single File Output

Custom Schema Implementation

Integration with Build Scripts

🤝 Contributing

🔄 CI/CD Pipeline

📋 PR Guidelines

Development Setup

Running Examples

zod_gen vs ts-rs

When to choose zod_gen

When ts-rs may be enough

🙏 Acknowledgments

📄 License

`zod_gen` - Core Library

`zod_gen_derive` - Derive Macro

`zod_gen` - Core Library

`zod_gen_derive` - Derive Macro