  Over the past decade, exoplanet atmospheric characterization has became what
some might call the cosmology of astronomy. In an attempt to extract and
understand the weak planetary signals (a few percent down to a few tens of ppm
times that of their host-star signals), researchers have developed dozens of
idealized planetary atmospheric models. Physical interpretations hinge on
pretending that we understand stellar signals (as well behaved mostly
temporarily static spherical cows), as well as planetary signals (as
unidimensional objects, or sometimes quasi-multidimensional objects). The
discovery of small and cool planets has lead to analyze planetary signals well
below the designed photometric precision of current instrumentation. The
challenge is up there, and keep us busy, so all is well. Here we present yet
another open-source tool to analyze exoplanet data of time-series observations.
The {\puppies} code is available via PyPI (\texttt{pip install exo-puppies})
and conda, the documentation is located at https://puppies.rtfd.io
