PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning that focuses on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms.
This means that PyMC3 offers a friendly modeling API, which allows users to write down models using an intuitive syntax to describe a data generating process. PyMC3 is part of NumFOCUS, which are PyData libraries used in virtually all technical and scientific fields, from finance to biology, economics to astronomy. Tidelift partners with NumFOCUS to support open source libraries like PyMC3.
We are excited to announce that core maintainers Alexandre Andorra, Orio Abril, Junpeng Lao, and Chris Fonnesbeck will be providing assurances for PyMC3 as part of the Tidelift Subscription. With the Tidelift Subscription, you can get management and maintenance for PyMC3 and your whole dependency tree.
If you’re interested in learning more about the benefits of managed open source, check out the 451 Research Pathfinder Report: Managed open source.
You can learn more about PyMC3 by visiting the project repo or project site.
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