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Stan is a programming language and statistical tool that lets users build and run Bayesian models to make probabilistic predictions from data.

SciPy provides a free, open-source Python library for scientific and technical computing, including modules for optimization, integration, interpolation, linear algebra, signal processing, and statistics.

Provides the free, open-source R software environment for statistical computing and graphics.

Pyro is an open-source library for probabilistic programming in Python, enabling users to build and infer complex statistical models using deep learning and Bayesian methods.

NumPy provides the core array data structure and mathematical routines for numerical computing in Python, serving as the foundation for most scientific and data-intensive Python libraries.

Datatable is a Python library for fast, memory-efficient manipulation of large tabular datasets, supporting out-of-core processing and parallel computation.