Arborist empowers researchers to run powerful Bayesian statistical models like BART and BCF without writing a single line of code. Designed for usability and reproducibility, Arborist generates clean R and Python code for every analysis and helps you produce stunning, publication-ready visualizations with ease. Built for researchers, Arborist streamlines the entire workflow—from data input to insight—through an intuitive macOS interface. Whether you're focused on causal inference or predictive modeling, Arborist makes advanced Bayesian methods accessible and transparent. Supported by UT Austin, TxBSPI, and Schmidt Futures.