chancejs/chancejs

Features

• Random Identifier Generators - Generates strings of random characters with configurable length and an optional custom character pool.
• Random Number Generator Seeding - Accepts an optional seed value to produce identical sequences of random values across multiple runs.
• Seedable Generators - Accepts an optional seed to produce deterministic pseudo-random sequences for reproducibility.
• Configurable Random Utilities - Generates random booleans, integers, floats, dates, and characters with configurable ranges and pools.
• Random Data Utilities - Provides configurable random generation for booleans, integers, floats, dates, and more.
• Random Data Generators - Generates random strings, numbers, names, and addresses for use in automated tests and prototypes.
• Realistic Data Generators - Generates realistic random strings, numbers, names, and addresses for automated tests and prototypes.
• Test Data Generators - Creates realistic random test data including names, addresses, and credit card numbers.
• String and Character Generators - Generates random strings, characters, and letters with configurable pools alongside numeric values.
• Unbiased Random Integer Generators - Returns whole numbers within a specified inclusive range, defaulting to the full JavaScript integer range.
• Reproducible Randomizers - Uses a seeded Mersenne Twister to produce deterministic random sequences for reproducible tests.
• Mersenne Twister Implementations - Uses a Mersenne Twister pseudo-random number generator for high-quality, reproducible random sequences.
• Random Number Generation - Generates random integers and floats within specified ranges using a Mersenne Twister algorithm.
• Random Number Generators - Returns true or false with a configurable likelihood, defaulting to a 50% chance of true.
• Range-Bounded Random Generators - Produces random numbers within inclusive minimum and maximum bounds for integers, floats, and primes.
• Character Randomization - Provides configurable character pools for generating random characters from alphabetic, alphanumeric, or symbol sets.
• Synthetic Address Generators - Generates realistic synthetic street addresses, cities, and postal codes for geographic test data.
• Collection Randomization Utilities - Selects a single random element from an array or array-like collection.
• Email Address Generators - Creates random email addresses with realistic username and domain patterns for test data.
• Custom Generator Extensions - Provides an extensibility API for attaching custom generator functions and overriding built-in datasets.
• Random Date & Time Generators - Produces random dates within configurable ranges for test data generation.
• Random Identifier Generators - Generates realistic random first names, last names, and full names for test data.
• Random Sampling - Ships a method to pick random items or subsets from arrays for sampling workflows.
• Credit Card Generators - Generates random credit card numbers that pass the Luhn algorithm, optionally specifying the card type.
• Luhn Algorithm Validators - Generates credit card numbers that pass the Luhn checksum for realistic test data.
• Random Value Generators - Produces random boolean values with configurable weighting for test inputs.
• Subset Generators - Returns a random subset of elements from an array without replacement.
• Randomized Selection - Selects a single random element from a provided array.
• Number Utilities - Generating random numbers and strings.
• Numeric Utilities - Generates random numbers and strings.

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