  We present a convenient, all-in-one framework for the scientific analysis of
fully reduced, (integral-field) spectroscopic data. The GIST pipeline (Galaxy
IFU Spectroscopy Tool) is entirely written in Python3 and conducts all steps
from the preparation of input data, over the scientific analysis to the
production of publication-quality plots. In its basic setup, it extracts
stellar kinematics, performs an emission-line analysis and derives stellar
population properties from full spectral fitting as well as via the measurement
of absorption line-strength indices by exploiting the well-known pPXF and
GandALF routines, where the latter has now been implemented in Python. The
pipeline is not specific to any instrument or analysis technique and provides
easy means of modification and further development, as of its modular code
architecture. An elaborate, Python-native parallelisation is implemented and
tested on various machines. The software further features a dedicated
visualization routine with a sophisticated graphical user interface. This
allows an easy, fully-interactive plotting of all measurements, spectra, fits,
and residuals, as well as star formation histories and the weight distribution
of the models. The pipeline has successfully been applied to both low and
high-redshift data from MUSE, PPAK (CALIFA), and SINFONI, as well as to
simulated data for HARMONI@ELT and WEAVE and is currently being used by the
TIMER, Fornax3D, and PHANGS collaborations. We demonstrate its capabilities by
applying it to MUSE TIMER observations of NGC 1433.
