As companies complete the implementation of their data management platforms and processes, many may shift their focus to building tools that support better data analysis. For example, Uber recently released Orbit, a Python package for Bayesian time series inference and forecasting. Unlike existing OSS forecasting tools, Orbit was designed to enable users to easily specify the best model for their use case and data while still providing a consistent interface for backtesting and model evaluation.