Number

Integer, float, and decimal scalar types with different precision characteristics

Scalar Types

Scalar	TypeScript	Precision	Use for
`s.int()`	`number`	Whole numbers	Counts, IDs, quantities
`s.float()`	`number`	Approximate	Scientific data, coordinates, ratings
`s.decimal()`	`string`	Exact, any precision	Money, percentages, anything you’d audit — see Decimal

import { s } from "viborm";

s.int(); // Required integer
s.float().nullable(); // number | null
s.decimal().default("0"); // With default — a decimal is a string

All three support the full modifier reference (.nullable(), .array(), .id(), .unique(), .default(), .schema(), .map()). Column types (SMALLINT, DECIMAL(10,2), unsigned variants, …) are configured via Native Types.

Auto-Increment

s.int() (and s.bigInt()) support auto-incrementing primary keys:

s.int().id().increment(); // Auto-incrementing primary key

Examples

import { pipe, number, minValue, maxValue } from "valibot";

// Auto-incrementing ID
const id = s.int().id().increment();

// Age with validation
const age = s.int().schema(pipe(number(), minValue(0), maxValue(150)));

// Rating between 1-5
const rating = s.float()
  .nullable()
  .schema(pipe(number(), minValue(1), maxValue(5)));

// View counter with default
const views = s.int().default(0);

// Latitude/Longitude
const lat = s.float();
const lng = s.float();