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ParaMonte (standing for Parallel Monte Carlo) is a serial andMPI/Coarray-parallelized library of Monte Carlo routines for samplingmathematical objective functions of arbitrary-dimensions, in particular, theposterior distributions of Bayesian models in data science, Machine Learning,and scientific inference. The ParaMonte library has been developed with thedesign goal of unifying the **automation**, **accessibility**,**high-performance**, **scalability**, and **reproducibility** of Monte Carlosimulations. The current implementation of the library includes **ParaDRAM**, a**Para**llel **D**elyaed-**R**ejection **A**daptive **M**etropolis Markov ChainMonte Carlo sampler, accessible from a wide range of programming languagesincluding C, C++, Fortran, with a unified Application Programming Interface andsimulation environment across all supported programming languages. TheParaMonte library is MIT-licensed and is permanently located and maintained at[https://github.com/cdslaborg/paramonte](https://github.com/cdslaborg/paramonte).

ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran