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\section{SED Analysis: an overview}  \label{sec:overview}  Fitting multi-wavelength spectral energy distributions allows astronomers to estimate fundamental properties of astronomical objects, such as stellar mass, dust content, and star formation rates of galaxies \cite{http://adsabs.harvard.edu/abs/1998AJ....115.1329S,http://adsabs.harvard.edu/abs/2001ApJS..137..139S,http://adsabs.harvard.edu/abs/2007ApJS..169..328R}. \cite{1998AJ....115.1329S,2001ApJS..137..139S,2007ApJS..169..328R}.  With increasing wide-field surveys and datasets over the years, astronomers have been able to utilize multi-wavelength SEDs more frequently for their research [citation?]. As such, many robust SED analysis codes have been created to help astronomers model, fit, and derive physical quantities from their SED data \cite{2011Ap&SS.331....1W,2013ARA&A..51..393C}. These codes implement a diverse set of methods, for instance: inversion (examples), template-based (examples), Bayesian inference (GalMC, ; also common are home-grown fitting routines (Bongiorno's, others) [Omar: Why Bongiorno and others are home-grown and the others are not? Let's remember to reference the sedfitting.org review here, and probably Tramacere et al. 2009 and SVO's VOSA]. Most distributed fitting packages are tailored for specific data sets or spectral ranges (PAHFIT, STARLIGHT, ), providing robust fitting methods and results. They require the data to be in a specific format with specific units in order for the tool to work properly. When fitting a broadband SED that spans over decades in the spectrum, the astronomer will gather data from different public archives and team members to add to their own dataset. More often than not, the datasets are presented in different file formats and units. The user must provide their own methods to extract the necessary data from each file, convert the units, and output a file in the single format supported by the tool. The astronomer may also want to inspect the SED, for example plotting it against different units, normalizing some of points or spectral segments, shifting the SED to another redshift, and performing other simple visualization tasks.