Random Number Generator

The tool generates a random numeric value within a defined interval, aimed at developers, educators, and researchers who need quick randomness for simulations, testing, or demonstrations. It supports both integer and decimal ranges and can operate in either seed-based (reproducible) or seedless (non-deterministic) mode. Conceptually, the generator uses a seedable PRNG to produce a uniform sample across the [min, max] interval; when a seed is provided, the sequence is deterministic for identical inputs, which is valuable for repeatable experiments. The inputs include min_value, max_value, decimals, and an optional seed; distribution_type defaults to uniform. Outputs provide the numeric value and, if requested, a fixed-precision string. Core features emphasize range specification, seed control for reproducibility, and precision handling. Use cases include Monte Carlo sketches, automated test data creation, and classroom exercises that illustrate randomness without heavy tooling. The tool prioritizes simplicity and speed, enabling integration into scripts and lightweight pipelines where deterministic or non-deterministic randomness is required without cryptographic guarantees. Unique value lies in explicit seed semantics, clear parameterization, and a compact model that fits within automation workflows and educational contexts.