Alternatives and similar repositories for jupyterstan

Users that are interested in jupyterstan are comparing it to the libraries listed below

• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆53Updated last week
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 11 months ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆86Updated 4 months ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated this week
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 2 years ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆61Updated 4 months ago
• bob-carpenter / comp-inference-reading
  Home for the computational inference reading group.
  ☆17Updated 5 years ago
• pymc-devs / mcbackend
  A backend for storing MCMC draws.
  ☆19Updated last month
• adamhaber / pybrms
  Pythonic interface to R's brms
  ☆45Updated 3 years ago
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 5 years ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆32Updated 3 years ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆152Updated last week
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆36Updated last year
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆25Updated 3 years ago
• IBM / yaps
  A surface language for programming Stan models using python syntax
  ☆46Updated 6 years ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆139Updated last week
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• fonnesbeck / vi_pydata_virginia_2025
  A Beginner's Guide to Variational Inference
  ☆15Updated 2 months ago
• exoplanet-dev / pymc-ext
  PyMC Extras extracted from the "exoplanet" library
  ☆20Updated last month
• rmcelreath / cmdstan_map_rect_tutorial
  Beginner tutorial for using cmdstan with multithreading
  ☆62Updated 5 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 3 months ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆57Updated 11 months ago
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆102Updated 2 weeks ago
• bob-carpenter / walnuts
  Step size adaptation for the No-U-Turn Sampler
  ☆14Updated this week
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆65Updated 7 months ago
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆33Updated 9 months ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆34Updated 7 months ago