A new version of TRNG (Tina’s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.15 is a bug fix and maintenance release. Classes for random numbers with Maxwell distribution and Beta distribution have been added. If you need a modern C++ random number generator library for sequential or parallel Monte Carlo then check out TRNG 4.15 or fork it on Github.