As a small but scaling new space company, Satellite Vu relies heavily on open source tooling for our image production pipeline, as well as storing our image assets and conducting experiments using thermal data sources. The company prides itself on being early adopters of emerging technologies, particularly as standardization of satellite imagery access and reproducible science are at the core of what we stand for. In this talk, we’ll give an overview of the main projects we lean on for all of data engineering, data science and thermal science as well as outline the vision for Satellite Vu’s evolving role within the open source community. Specific tools we’ll comment on our use include: 1. STAC, and the related stac-fastapi, for storing and serving image collections 2. rioxarray and stackstac for scaling our use of both internal and external cloud native imagery datastores 3. The pangeo stack for running experiments and scaling data processing 4. pygeoapi, as a vector data server I’ll introduce the Satellite Vu public STAC, and talk through how we’re using FOSS4G tools to shorten the development time of new products as well as prepare for the first satellite launch in Q1 2023.