  Large amounts of Adaptive-Optics (AO) control loop data and telemetry are
currently inaccessible to end-users. Broadening access to those data has the
potential to change the AO landscape on many fronts, addressing several
use-cases such as derivation of the system's PSF, turbulence characterisation
and optimisation of system control. We address one of the biggest obstacles to
sharing these data: the lack of standardisation, which hinders access. We
propose an object-oriented Python package for AO telemetry, whose data model
abstracts the user from an underlining archive-ready data exchange standard
based on the Flexible Image Transport System (FITS). Its design supports data
from a wide range of existing and future AO systems, either in raw format or
abstracted from actual instrument details. We exemplify its usage with data
from active AO systems on 10m-class observatories, of which two are currently
supported (AOF and Keck), with plans for more.
