Chance.js
Minimalist generator of random strings, numbers, and structured fake data for JavaScript testing.
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
Maintenance
Learning
Licence
// 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
| Tool | Choose it when |
|---|---|
| Faker.js | You want the richer realistic-data catalogue. |
| DbUnit | You want fixed datasets for DB tests. |
| Testcontainers | You 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
Install Chance
Call generators in tests/seeders
Seed for reproducibility
Generate varied form/fixture data
Avoid asserting on raw random values
Keep the library current