Alternatives and similar repositories for arviz-plots

Users that are interested in arviz-plots are comparing it to the libraries listed below

• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆134Updated this week
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆25Updated this week
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆101Updated this week
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆34Updated 6 months ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated this week
• pymc-devs / pymc-bart
  ☆110Updated last week
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆33Updated last year
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆58Updated 3 months ago
• AlexAndorra / advanced-gp-pydata
  ☆12Updated 5 months ago
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆19Updated 7 months ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆86Updated 2 months ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆34Updated last month
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆92Updated 5 months ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆50Updated last month
• betanalpha / mcmc_visualization_tools
  Markov Chain Monte Carlo Visualization Tools
  ☆25Updated 3 weeks ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆144Updated this week
• tomicapretto / shiny-hmc
  A Shiny app to help people learn (and play with) Hamiltonian Monte Carlo
  ☆11Updated 3 months ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated 2 months ago
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆101Updated last week
• vincentarelbundock / pymarginaleffects
  ☆68Updated last month
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated 5 months ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• williambdean / pymc-mlflow-example
  MLflow logging for PyMC
  ☆8Updated last month
• ricardoV94 / probability-puzzles
  ☆10Updated 6 months ago
• scikit-hep / resample
  Randomization-based inference in Python
  ☆79Updated this week
• Quantco / metalearners
  MetaLearners for CATE estimation
  ☆41Updated this week