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A Python program has been developed which fits a published detector-responsemodel to SiPM charge spectra to characterise SiPMs. Spectra for SiPMsilluminated by low intensity pulsed light with Poisson-distributed number ofphotons and a time spread of order nanoseconds or less, can be analysed. Theentire charge spectra, including the intervals in-between the photoelectronpeaks, are fitted, which allows determining, in addition to the mean number ofdetected photons, gain, gain spread, prompt cross-talk, pedestal, andelectronics noise, the dark-count rate as well as the probability and timeconstant of after-pulses. The starting values of the fit parameters areextracted from the charge spectra.  The program performance has been evaluated using simulated charge spectrawith the different SiPM parameters varied in a wide range. By analysing 100simulated spectra for every parameter set, the biases and statisticaluncertainties of the individual parameters have been determined. It is foundthat the parameters are precisely determined and that the entire spectra arewell described, in most cases with a $\chi ^2$/NDF close to 1. In addition,measured spectra for two types of SiPMs for a wide range of over-voltages havebeen analysed. The program achieves mostly a good description of the spectra,and the parameters determined agree with the values from the producers andexpectations.  The program can be used for detailed analyses of single spectra, but, as itis compatible with the native \texttt{Python} multiprocessing module, also forthe automatic characterisation of large samples of SiPMs.

PeakOTron: A Python Module for Fitting Charge Spectra of Silicon Photomultipliers