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Chance.js

Open Source

Minimalist generator of random strings, numbers, and structured fake data for JavaScript testing.

Visit websiteGitHub

Pricing

Free / Open source

Type

Automation

Languages

JavaScript, TypeScript

// VERDICT

Reach for Chance.js when you want flexible random data generation in JS with control over the values. Skip it when you want the richest realistic-data library (Faker.js), deterministic fixtures, or another language.

Best for

A JavaScript random generator for test and dev data - producing random strings, numbers, names and structured values, with fine-grained control over the randomness.

Avoid when

You want the largest realistic-data catalogue (Faker.js), deterministic fixtures, or a non-JS stack.

CI/CD fit

Library in tests/seeders · seedable for reproducibility

Languages

JavaScript · TypeScript

Team fit

JS/TS teams · Random test-data generation · Property-style data

Setup

Easy

Maintenance

Low

Learning

Beginner

Licence

Free / Open source

// BEST FOR

  • Generating random strings, numbers, names and values
  • Fine-grained control over randomness
  • Seeding for reproducible randomness
  • Lightweight test-data generation
  • Filling forms/fixtures with varied data
  • Property-style data variation

// AVOID WHEN

  • You want the largest realistic-data catalogue (Faker.js)
  • Deterministic fixed fixtures are needed
  • Your stack isn't JS
  • Exact known values are required for assertions
  • Strict business-rule data is needed
  • Minimal dependencies are mandated

// QUICK START

npm install -D chance
// const chance = new Chance(123); chance.name(); chance.integer({min:1,max:100});

// ALTERNATIVES TO CONSIDER

ToolChoose it when
Faker.jsYou want the richer realistic-data catalogue.
DbUnitYou want fixed datasets for DB tests.
TestcontainersYou want real seeded dependencies for integration tests.

// FEATURES

  • Generators for primitives — bool, integer, string, character
  • Pre-built helpers for names, addresses, dates, and identifiers
  • Seedable for reproducible test data
  • Mixin API for adding domain-specific generators
  • Tiny footprint — single dependency-free package

// PROS

  • Simple API — easy to drop into any test suite
  • Seedable RNG makes failing tests reproducible
  • Zero dependencies — small bundle impact
  • Stable and predictable across versions

// CONS

  • Smaller surface than Faker — fewer locales and complex types
  • Less actively developed in recent years
  • Documentation thinner than Faker.js

// EXAMPLE QA WORKFLOW

  1. Install Chance

  2. Call generators in tests/seeders

  3. Seed for reproducibility

  4. Generate varied form/fixture data

  5. Avoid asserting on raw random values

  6. Keep the library current

// RELATED QA.CODES RESOURCES