PyTICS intercalibrates photometric time-series data from multiple telescopes using a maximum likelihood ensemble photometry method. It takes as input arrays of observation dates, filter names, unique star identifiers, instrumental magnitudes and errors, and unique telescope identifiers for both comparison stars and the target, and returns intercalibrated light curves that account for telescope-dependent offsets. PyTICS can also derive empirical color-dependent corrections between instruments, and includes a Jupyter notebook and an installable library to apply these methods to general datasets.