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PYMC

PyMC

PyMC (formerly known as PyMC3) is a probabilistic programming library for Python. It can be used for Bayesian statistical modeling and probabilistic machine

Probabilistic programming

github.io/. "BAli-Phy Home Page". bali-phy.org. "ProbCog". GitHub. PyMC devs. "PyMC". pymc-devs.github.io. stripe/rainier, Stripe, August 19, 2020, retrieved

Theano (software)

On 17 May 2018, Chris Fonnesbeck wrote on behalf of the PyMC development team that the PyMC developers will officially assume control of Theano maintenance

ArviZ

designed to work with the output of probabilistic programming libraries like PyMC, Stan, and others by providing a set of tools for summarizing and visualizing

Python (programming language)

Orange Panda3D Pandas PlaidML Plotly ProbLog pvlib python PyGObject PyGTK PyMC PyObjC Pygame PyQt PyroBot library PySide PyTorch PyTorch Lightning Python-Ogre

R (programming language)

(Julia, Python, R) GNU Octave OpenBUGS Orange PSPP Python (statsmodels, PyMC, IPython, IDLE) R (RStudio) SageMath SimFiT SOFA Statistics Stan XLispStat

Project Jupyter

(Julia, Python, R) GNU Octave OpenBUGS Orange PSPP Python (statsmodels, PyMC, IPython, IDLE) R (RStudio) SageMath SimFiT SOFA Statistics Stan XLispStat

Marketing mix modeling

(PDF). "LightweightMMM". GitHub. Retrieved 2025-09-13. "PyMC-Marketing Documentation". PyMC-Marketing. Retrieved 2025-09-13. Feiler, Daniel; Tong, J

Bayesian hierarchical modeling

and ecological processes affecting species distribution, to mention a few. PyMC is a flexible open source Python package supporting such modeling. Allenby

Allen B. Downey

computer scientist who is currently working as a Principal Data Scientist at PyMC Labs. He is a former Professor of Computer Science at the Franklin W. Olin