  We introduce OpenRAND, a C++17 library aimed at facilitating reproducible
scientific research through the generation of statistically robust and yet
replicable random numbers. OpenRAND accommodates single and multi-threaded
applications on CPUs and GPUs and offers a simplified, user-friendly API that
complies with the C++ standard's random number engine interface. It is
portable: it functions seamlessly as a lightweight, header-only library, making
it adaptable to a wide spectrum of software and hardware platforms. It is
statistically robust: a suite of built-in tests ensures no pattern exists
within single or multiple streams. Despite the simplicity and portability, it
is remarkably performant-matching and sometimes even outperforming native
libraries by a significant margin. Our tests, including a Brownian walk
simulation, affirm its reproducibility and highlight its computational
efficiency, outperforming CUDA's cuRAND by up to 1.8 times.
