We present FitAO, which is an open-source Python-based concept platform for algorithmic development in adaptive optics (AO). Control and reconstruction algorithms designed on FitAO can be executed simultaneously on multiple supported end-to-end simulation environments. It utilizes interface specifications of OpenAI Gym library enabling direct access to an extensive set of control algorithms. With these properties, FitAO aims to facilitate comparative studies of AO control and reconstruction algorithms, and pave the way for modern data-driven and hybrid algorithms. We provide a brief tutorial example and discuss future development.
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