PyMC Files

Bayesian Modeling and Probabilistic Programming in Python

This is an exact mirror of the PyMC project, hosted at https://github.com/pymc-devs/pymc. SourceForge is not affiliated with PyMC.

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2026-05-20	674 Bytes	0
v6.0.1 source code.tar.gz	2026-05-20	6.8 MB	0
v6.0.1 source code.zip	2026-05-20	7.0 MB	0
Totals: 3 Items		13.8 MB	0

What's Changed

New Features 🎉

Add Poisson and NegativeBinomial to pymc.dims by @williambdean in https://github.com/pymc-devs/pymc/pull/8305

Bugfixes 🪲

Eagerly clean rv shape references introduced by maybe_resize by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/8302
Fix marimo progress bar issues by @ricardoV94 in https://github.com/pymc-devs/pymc/pull/8298

New Contributors

@mcwanza made their first contribution in https://github.com/pymc-devs/pymc/pull/8107

Full Changelog: https://github.com/pymc-devs/pymc/compare/v6.0.0...v6.0.1

Source: README.md, updated 2026-05-20

Other Useful Business Software

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.

Get Started Free

Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.

Try free now

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Get Started Free

Recommended Projects

Bayesian Methods for Hackers
An introduction to Bayesian methods + probabilistic programming
APEMoST
The Automated Parameter Estimation and Model Selection Toolkit is a fast, parallelized MCMC engine written in C for Bayesian inference (parameter estimation and model selection).
Turing.jl
Bayesian inference with probabilistic programming
RStan
RStan, the R interface to Stan
UnBBayes
Framework & GUI for Bayes Nets and other probabilistic models.

PyMC Files

Bayesian Modeling and Probabilistic Programming in Python

Get an email when there's a new version of PyMC

What's Changed

New Features 🎉

Bugfixes 🪲

New Contributors