PyPI Stats

Bayesian Statistics Python Packages

Python packages with the GitHub topic bayesian-statistics. Sorted by relevance, with stars and monthly downloads.
raphaelvallat
pingouin

Statistical package in Python based on Pandas

494K 2K 165
pymc-devs
pymc-extras

Powerful add-ons for PyMC

354K 137 82
arviz-devs
preliz

Exploring and eliciting probability distributions

149K 162 17
GPflow
gpflow

Gaussian processes in TensorFlow

90K 2K 432
bambinos
bambi

BAyesian Model-Building Interface (Bambi) in Python.

52K 1K 143
uber
orbit-ml

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

32K 2K 148
aesara-devs
aeppl-nightly

Tools for an Aesara-based PPL.

31K 67 20
argmaxml
conjugate-prior

Implementation of the conjugate prior table for Bayesian Statistics

25K 52 7
aesara-devs
aeppl

Tools for an Aesara-based PPL.

17K 67 20
fasiha
ebisu

Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

12K 336 30
martinit18
nested-fit

Bayesian data analysis code for evidence and probability distribution calculation based on nested sampling algorithm

9K 11 6
Matt52
bayesian-testing

Bayesian A/B testing

6K 83 10
AdityaSavara
chekipeuq

Parameter estimation for complex physical problems often suffers from finding ‘solutions’ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.

3K 14 6
cdslaborg
paramonte

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

3K 305 36
pymc-devs
pymc-experimental

Powerful add-ons for PyMC

2K 137 82
steven-murray
yabf

Yet Another Bayesian Framework

2K 0 0
teddygroves
bibat

A batteries-included template for Bayesian data analysis projects

988 22 2
AdityaSavara
peuqse

Parameter estimation for complex physical problems often suffers from finding ‘solutions’ that are not physically realistic. The PEUQSE software provides tools for finding physically realistic parameter estimates, graphs of the parameter estimate positions within parameter space, and plots of the final simulation results.

964 14 6
supernnova
supernnova

Open Source Photometric classification https://supernnova.readthedocs.io

841 36 9
rnburn
peak-engines

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

839 62 2
felixleopoldo
trilearn

Bayesian structure learning and classification in decomposable graphical models.

787 11 5
georgeberry
blayers

The missing layers package for Bayesian inference

699 36 0
AndreaBlengino
baypy

Python library for solving bayesian regression models through a Monte Carlo Markov chain sampling.

653 1 0
thomaspinder
impulso

Bayesian VAR and SVAR models in Python.

617 13 4