Welcome to `pymc-extras`

PyMC Extras extends PyMC with additional distributions, inference methods, and model transformations. It is maintained by the PyMC team and hosts functionality that is too specialized for the core library, but useful enough that you shouldn't have to write it yourself.

Highlights include:

Automatic marginalization: exact for finite discrete and conjugate variables, approximate via the Laplace approximation
Alternative inference methods: Pathfinder, DADVI, INLA, Laplace approximation, and better MAP estimation
Statespace models: SARIMAX, VARMAX, ETS, and structural time series with Kalman filtering
Additional distributions such as DiscreteMarkovChain, GeneralizedPoisson, and GenExtreme

pymc-extras mirrors the namespaces in pymc to make usage and migration as easy as possible. For example, distributions are used exactly like those in pymc:

import pymc as pm
import pymc_extras as pmx

with pm.Model():
    xi = pm.HalfNormal("xi", 0.2)
    pmx.GenExtreme("llik", mu=1, sigma=0.5, xi=xi, observed=data)

See the documentation for the full API reference.

Installation

pip install pymc-extras

or for the development version:

pip install git+https://github.com/pymc-devs/pymc-extras.git

Questions

What belongs in `pymc-extras`?

statistical methods, for example step methods or model construction helpers
distributions that are tricky to sample from or test
specialized fitting methods or distributions
any code that requires additional optimization before it can be used in practice

Functionality that proves widely useful may graduate to the main pymc repository.

What does not belong in `pymc-extras`?

Case studies
Implementations that cannot be applied generically, for example because they are tied to variables from a toy example

Contributing

We welcome contributions! Check out the contributing guidelines to get started.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymc_extras-0.15.1.tar.gz (745.6 kB view details)

Uploaded Sep 16, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

pymc_extras-0.15.1-py3-none-any.whl (388.2 kB view details)

Uploaded Sep 16, 2026 Python 3

File details

Details for the file pymc_extras-0.15.1.tar.gz.

File metadata

Download URL: pymc_extras-0.15.1.tar.gz
Upload date: Sep 16, 2026
Size: 745.6 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for pymc_extras-0.15.1.tar.gz
Algorithm	Hash digest
SHA256	`bd08ce9163905852b558d18be13551e7e5c4d9041dfd09a107a87e9a64846ba9`
MD5	`916955019d8d77526d00d1dee85982a6`
BLAKE2b-256	`19bef9edb31670f5490b8a535d98987b2b21fa1484c5170caa5d763830cd0909`

See more details on using hashes here.

Provenance

The following attestation bundles were made for pymc_extras-0.15.1.tar.gz:

Publisher: pypi.yml on pymc-devs/pymc-extras

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: pymc_extras-0.15.1.tar.gz
- Subject digest: bd08ce9163905852b558d18be13551e7e5c4d9041dfd09a107a87e9a64846ba9
- Sigstore transparency entry: 2861082298
- Sigstore integration time: Sep 16, 2026
Source repository:
- Permalink: pymc-devs/pymc-extras@8e9867ade7eb9d948d14e682c4860acaece2a6c3
- Branch / Tag: refs/tags/v0.15.1
- Owner: https://github.com/pymc-devs
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: pypi.yml@8e9867ade7eb9d948d14e682c4860acaece2a6c3
- Trigger Event: release