Analytical Chemistry Kernel Library for Spectroscopic Profiling Data

•We published an open-source Python package with 31 kernel types and conducted a comparative study of these kernels for spectroscopic analytical tasks.•This study gives an empirical kernel selection guideline for spectroscopic profiling data analysts.•Each kernel has its unique strength in extracting different kinds of information from the spectroscopic profiling data.