Alternatives and similar repositories for stan:

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

• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆926Updated 4 years ago
• stan-dev / rstan
  RStan, the R interface to Stan
  ☆1,057Updated last week
• stan-dev / example-models
  Example models for Stan
  ☆782Updated last week
• rmcelreath / rethinking
  Statistical Rethinking course and book package
  ☆2,239Updated 8 months ago
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆710Updated 3 years ago
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,153Updated 3 weeks ago
• aloctavodia / Statistical-Rethinking-with-Python-and-PyMC3
  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
  ☆852Updated 4 years ago
• paul-buerkner / brms
  brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
  ☆1,316Updated 3 weeks ago
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,012Updated last year
• robjhyndman / forecast
  Forecasting Functions for Time Series and Linear Models
  ☆1,140Updated 3 weeks ago
• rmcelreath / statrethinking_winter2019
  Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
  ☆2,020Updated 4 years ago
• google / CausalImpact
  An R package for causal inference in time series
  ☆1,739Updated last year
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆879Updated 4 years ago
• avehtari / BDA_R_demos
  Bayesian Data Analysis demos for R
  ☆573Updated 6 months ago
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆8,993Updated this week
• avehtari / BDA_course_Aalto
  Bayesian Data Analysis course at Aalto
  ☆2,198Updated 3 months ago
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,840Updated last year
• arviz-devs / arviz
  Exploratory analysis of Bayesian models with Python
  ☆1,682Updated last week
• jluttine / tikz-bayesnet
  TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
  ☆840Updated last year
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,332Updated last week
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆900Updated 3 years ago
• stan-dev / cmdstan
  CmdStan, the command line interface to Stan
  ☆220Updated last week
• chi-feng / mcmc-demo
  Interactive Markov-chain Monte Carlo Javascript demos
  ☆850Updated 11 months ago
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆678Updated this week
• pymc-devs / pymc-resources
  PyMC educational resources
  ☆2,005Updated 4 months ago
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,438Updated 2 months ago
• stan-dev / pystan
  PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
  ☆352Updated 10 months ago
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,437Updated last week
• mlr-org / mlr
  Machine Learning in R
  ☆1,662Updated 8 months ago
• kieferk / dfply
  dplyr-style piping operations for pandas dataframes
  ☆895Updated 3 years ago