Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
pgmpy is a Python library for causal and probabilistic reasoning with graphical models, covering the full workflow from learning causal graphs to estimating causal effects and running probabilistic inference. It features a unified, composable API that is scikit-learn compatible, allowing integration into standalone use, sklearn pipelines, or higher-level tools.
Parse Score