TypeScript-first database collections with static type inference and automatic migrations. Built on top of Postgres.js and Zod.
- 🔒 Type-safe - Full TypeScript support with Zod schema validation
- 🚀 Simple API - Collection-based interface for common database operations
- 📦 Flexible - Works with Postgres or in-memory PGLite for testing
- ⚡ SQL Templates - Use template literals for complex queries
- 🔄 Auto-migration - Automatic table creation from Zod schemas
⚠️ Disclaimer: PGLite support is currently not working. See issue #1 for more details.
npm install zodgresimport { connect, z } from 'zodgres';
// Set-up database connection
const db = connect('postgres://user:password@localhost:5432/mydb');
// Define a collection with Zod schema
const users = db.collection('users', {
id: z.number().optional(), // auto-incrementing
name: z.string().max(100),
age: z.number().min(0).max(100).optional(),
});
// Open the connection and run collection migrations
await db.open();
// Create records
const user = await users.create({ name: 'John Doe', age: 30 });
// Result: { id: 1, name: 'John Doe', age: 30 }
// Create multiple records
const newUsers = await users.create([
{ name: 'Alice' },
{ name: 'Bob', age: 25 }
]);
// Result: [{ id: 2, name: 'Alice' }, { id: 3, name: 'Bob', age: 25 }]
// Query records
const allUsers = await users.select(); // or users.select`*`
const adults = await users.select`* WHERE age >= ${18}`;
// Close connection
await db.close();Connect to a Postgres database or use in-memory storage for testing:
// Connect to Postgres
const db = connect('postgres://user:password@localhost:5432/mydb');
// Use in-memory database (great for testing)
const testDb = connect(':memory:');Important: After defining all your collections, you must call
await db.open()to establish the database connection and run any necessary migrations. This ensures your database schema matches your collection definitions before performing any operations.
Create a type-safe collection with Zod schema validation:
const items = db.collection('items', {
id: z.number().optional(), // auto-incrementing primary key
name: z.string().max(100), // required string with max length
price: z.number().positive(), // required positive number
description: z.string().optional(), // optional string
});Create single or multiple records:
// Single record
const item = await items.create({
name: 'Widget',
price: 19.99
});
// Multiple records
const newItems = await items.create([
{ name: 'Gadget', price: 29.99 },
{ name: 'Tool', price: 39.99, description: 'Useful tool' }
]);Query records using SQL template literals:
// Select all records
const all = await items.select();
// Select with conditions
const expensive = await items.select`* WHERE price > ${25}`;
const byName = await items.select`* WHERE name = ${'Widget'}`;
// Complex queries
const recent = await items.select`
name, price
WHERE created_at > ${new Date('2024-01-01')}
ORDER BY price DESC
LIMIT ${10}
`;The library supports in-memory databases for fast testing:
⚠️ PGLite support is currently not working. See issue #1 for more details.
import { connect, z } from 'zodgres';
describe('My tests', () => {
let db;
before(async () => {
db = await connect(':memory:').open(); // Uses PGLite
});
after(async () => {
await db.close();
});
it('should create users', async () => {
const users = db.collection('users', {
id: z.number().optional(),
name: z.string(),
});
const user = await users.create({ name: 'Test User' });
assert.deepStrictEqual(user, { id: 1, name: 'Test User' });
});
});All data is validated using Zod schemas before database operations:
const products = db.collection('products', {
id: z.number().optional(),
name: z.string().min(1).max(100),
price: z.number().positive(),
category: z.enum(['electronics', 'books', 'clothing']),
tags: z.array(z.string()).optional(),
metadata: z.record(z.any()).optional(),
});
// This will throw validation error
await products.create({
name: '', // too short
price: -10, // not positive
category: 'invalid' // not in enum
});MIT