The paper presents CalibrateEmulateSample.jl, a Julia package designed to accelerate parametric uncertainty quantification. The package leverages advanced techniques to calibrate, emulate, and sample parameters efficiently, significantly reducing computational costs while maintaining high accuracy. This tool is essential for applications requiring rigorous uncertainty quantification, particularly in fields like climate modeling, engineering, and applied sciences.