Random Number Generator

The tool provides a multi-field random generator capable of numeric or string outputs. Users specify min_value, max_value, count, data_type, and distribution_type. Optional settings include seed, precision, and uniqueness controls. It supports uniform and normal distributions and can generate strings from a chosen alphabet.
Under the hood, a seeded pseudo-random number generator initializes the sequence. Uniform values are mapped to [min, max], while Normal values center around the midpoint with a spread defined by the range and are clipped to bounds. For strings, characters are sampled from the provided alphabet to the requested length.
Target users include developers, QA engineers, and data scientists who need repeatable test data, synthetic datasets, or stochastic inputs for simulations. The tool’s unique value lies in explicit seed control for reproducibility, multiple distribution options, and optional non-duplicate output when required.
Core features include: seed input, distribution selection, numeric or string output, precision control, and optional uniqueness. Common use cases include unit tests with fixed datasets, performance benchmarks with repeatable inputs, and prototyping where external data isn't available. Outputs are provided as a structured list with seed reference and formatting rules suitable for downstream processing.