Mathematically Correct Random Number Generation

Random.js is a JavaScript library designed to provide mathematically correct and consistent random number generation, addressing the shortcomings of `Math.random()` and common biased implementations. It offers various 'engines' like `nativeMath` (using `Math.random`), `browserCrypto` (using `crypto.getRandomValues`), `nodeCrypto` (using `crypto.randomBytes`), and `MersenneTwister19937` for deterministic, repeatable sequences. The library focuses on providing 32 bits of randomness consistently and includes distributions to prevent common biases in integer generation. The current stable version is 2.1.0, and while a specific release cadence isn't stated, it generally follows semver for major breaking changes. Its key differentiators include platform-specific cryptographic engines and a robust, bias-free API for various distributions, making it suitable for simulations, games, and other applications where high-quality randomness is crucial.