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Papilon is a Python-based framework for Marketing Mix Modeling, Causal Inference, and Complex Systems Analysis. It unifies methods such as Bayesian MMM, Causal Discovery, Causal Inference, and agent-based/economic models to analyze how marketing spend cascades into outcomes. It is Python-native, installable via pip, and provides workflows to fit models and estimate ROI.
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