  We present the first public release (v0.1) of the open-source GADGET
Dataframe Library: gadfly. The aim of this package is to leverage the
capabilities of the broader python scientific computing ecosystem by providing
tools for analyzing simulation data from the astrophysical simulation codes
GADGET and GIZMO using pandas, a thoroughly documented, open-source library
providing high-performance, easy-to-use data structures that is quickly
becoming the standard for data analysis in python. Gadfly is a framework for
analyzing particle-based simulation data stored in the HDF5 format using pandas
DataFrames. The package enables efficient memory management, includes utilities
for unit handling, coordinate transformations, and parallel batch processing,
and provides highly optimized routines for visualizing smoothed-particle
hydrodynamics (SPH) datasets.
