Tracking and Object-Based Analysis of Clouds (tobac) is a Python package that enables researchers to identify, track, and perform object-based analyses of phenomena in large atmospheric datasets. Over the past four years, tobac’s userbase has grown within atmospheric science, and the package has transitioned from its original life as a small, focused package with few maintainers to a larger package with more robust governance and structure. In this presentation, we will discuss the challenges and lessons learned during the transition to robust governance structures and the future of tobac as we incorporate new techniques for using multiple variables and scales to track the same system.