Number Generator

The Number Generator tool provides in-browser generation of numeric sequences for testing, simulation, sampling, and data preparation. It targets developers, QA engineers, data scientists, analysts, and educators who need quick, repeatable or stochastic numbers without server round-trips. Typical use cases include bounded random integers for unit tests, random samples from a range for benchmarking, or deterministic sequences for regression tests. All generation occurs client-side in the browser, with no data leaving the device.
Core logic: The tool accepts min, max, and count, plus optional seed and distribution. It produces an array of numbers, with outputs formatted as integers by default unless decimal results are requested. Features include uniform distribution by default and an optional seeded mode to reproduce a given run; advanced options can support a normal-like distribution through a standard transformation. The PRNG can be seeded to guarantee reproducibility across runs; without a seed, the browser entropy yields different results.
Outputs and use: The raw numbers are returned as an array; a quick statistics summary (min, max, mean, median, standard deviation) is available. You can export to CSV/JSON or copy to clipboard. It supports repeated generations for distribution checks or scenario testing. It is designed to be dependency-free and fast on modern desktops and mobile browsers; it is suitable for quick test data generation during development, education exercises, and lightweight simulations.
Limitations and scope: It does not perform heavy statistical modeling beyond uniform and basic normal approximation; external data sources are not used; counts are bounded by browser memory; ensure min <= max; handle invalid inputs gracefully by defaulting to safe values.