datrandSynthetic data weaver — with soul.

datrand is a fully-typed, heavily-tested synthetic data weaver — weaving everything from believable entries (step aside, John Doe!) to cryptographically-secure secrets, while closing the gap where traditional faker tools skimp on high entropy or type-safety. Built to eliminate the drudgery of hand-rolling mocks and the compliance risks of real-world data, it leverages shuffrand’s CSPRNG engine for hyper-polished outputs that feel authentic yet stay fabricated. For backend engineers immersing fingers into greasy DBs, automation specialists dripping sweat over JSON schemas, or frontend devs pouring tears onto graphical interfaces—datrand thrives in these envs — delivering realism without risk, quietly and reliably, exactly the way you want it.

Etymology

data + randomization = datrand

Changelog — all notable changes across all packages. Contributing — how to contribute to this project. Code of Conduct — our code of conduct for all contributors. Doctrine — the guiding principles behind this project. Security — our security policy and how to report vulnerabilities. Workflows — details on our CI/CD and automation workflows. Performance — denchmarks and performance optimization philosophy. shuffrand — a package/library for generating secure shuffles and random selections.