@herb-ert/mockkitjs

🧪 Mockkit.js

Mockkit.js is a deterministic mock data generator — a small, fast utility to generate predictable, structured fake data for testing, seeding, prototyping, and demos.

⚡ Powered by a seedable pseudo-random generator for repeatable results.

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🚀 Features

• 🎲 Seeded randomness for predictable mock data
• 📦 Lightweight and dependency-free
• 🔧 Structured fake data: numbers, names, and more (extensible)
• 💡 Ideal for testing, seeding databases, or building demos
• 🧩 Modular design — import only what you need

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📦 Installation

npm install @herb-ert/mockkitjs

🛠️ Usage

import { seed } from '@herb-ert/mockkitjs';
import { faker } from '@herb-ert/mockkitjs';

// Set a seed for deterministic results
seed(43);

// Use faker modules
console.log(faker.number.int(10, 50));    // Same number every time with same seed
console.log(faker.number.float(0, 1));    // e.g., 0.35
console.log(faker.number.dice(20));       // Roll a D20

📚 API

Core

seed(number)

Sets the global seed for deterministic randomness.

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Faker Modules

faker.number.int(min, max)

Returns a random integer between min and max (inclusive).

faker.number.float(min, max, decimals)

Returns a random float with specified decimal precision.

faker.number.dice(sides)

Simulates rolling an N-sided die.

More modules coming soon — names, dates, strings, arrays, and more!

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🧪 Why Deterministic?

Mockkit uses a seedable PRNG to give you consistent data across test runs or rebuilds.
Perfect for unit tests, snapshot testing, or consistent seeding during development.

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📃 License

MIT — © herb-ert

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🛤️ Roadmap

• [x] Number module
• [ ] Name generator
• [ ] Date & time mockers
• [ ] String / text generators
• [ ] Array & object builders
• [ ] Faker extensibility API

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📄 Changelog

See CHANGELOG.md for version history and release notes.