A diverse set of software is required for SWIFT: from observing preparation, through data taking, reduction, analysis, and archiving. Most of the basic data-reduction tools already exist to a large extent in current software packages (e.g., IRAF, SDSS), but they will need to be interfaced into an end-to-end system. However, the extreme number of spectra obtained per observation poses an exciting analysis challenge: the creation of ``expert'' software to perform preliminary data analysis screening. These might include identification of stellar and galaxy spectra (e.g., via principal component methods or neural networks); an automated stellar atmosphere modeling package to classify, measure velocities, and derive abundances for 105 stars while also flagging those spectra that do not resemble stars; discovery tools to maximize the extraction and classification of faint, serendipitously detected objects. These spectra may represent the truly fascinating serendipitous discoveries that must not be overlooked in the crush of a fully automated analysis pipeline.