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The Kilo Degree Survey (KiDS) is currently the only sky survey providingoptical ($ugri$) plus near-infrared (NIR, $ZYHJK_S$) seeing matched photometryover an area larger than 1000 $\rm deg^2$. This is obtained by incorporatingthe NIR data from the VISTA Kilo Degree Infrared Galaxy (VIKING) survey,covering the same KiDS footprint. As such, the KiDS multi-wavelength photometryrepresents a unique dataset to test the ability of stellar population models toreturn robust photometric stellar mass ($M_*$) and star-formation rate (SFR)estimates. Here we use a spectroscopic sample of galaxies for which we possess$u g r i Z Y J H K_s$ ``gaussianized'' magnitudes from KiDS data release 4. Wefit the spectral energy distribution from the 9-band photometry using: 1) threedifferent popular libraries of stellar {population} templates, 2) single burst,simple and delayed exponential star-formation history models, and 3) a widerange of priors on age and metallicity. As template fitting codes we use twopopular softwares: LePhare and CIGALE. We investigate the variance of thestellar masses and the star-formation rates from the different combinations oftemplates, star formation recipes and codes to assess the stability of theseestimates and define some ``robust'' median quantities to be included in theupcoming KiDS data releases. As a science validation test, we derive the massfunction, the star formation rate function, and the SFR-$M_*$ relation for alow-redshift ($z<0.5$) sample of galaxies, that result in excellent agreementwith previous literature data. The final catalog, containing $\sim290\,000$galaxies with redshift $0.01<z<0.9$, is made publicly available.

Toward a stellar population catalog in the Kilo Degree Survey: the impact of stellar recipes on stellar masses and star formation rates