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Recently, the scientific python community has begun to converge on the \code{DataFrame} provided by the high-performance \code{pandas} data analysis library as a common data structure for the ecosystem.   As a result, once data is loaded into a \code{DataFrame}, it becomes much easier to take advantage of the powerful analysis tools provided by the broader scientific computing ecosystem.  With this in mind, we present a \code{pandas}-based framework for analyzing \textsc{gadget} simulation data, \textsc{gadfly}: the \textsc{GAdget} \code{DataFrame} DataFrame  LibrarY. In this paper we present the first public release (v0.1) of \code{gadfly}.   The framework design and organizational structure are outlined in Section \ref{sec:framework}, followed by a description of the included SPH particle rendering in Section \ref{sec:vis}. Our plans for future development are outlined in Section \ref{sec:future}, and a summary is provided in Section \ref{sec:summary}.