* It provides convenient access to random integers and reals at a variety of precisions. * RandomLib also contains new algorithms which permit exact sampling from the normal and discrete normal distributions (provided that the underlying generator is perfect). * The emphasis in this implementation is on providing a reliable source of random numbers for scientific applications where there's a premium on accuracy, repeatability, portability, and ease of use.

* Network seeding * Reseeding using user input * Saving and Restoring PRNG state * Open Source & Easy to use