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On this page

  • Language-Specific Stan Interfaces
  • High-Level Modeling Interfaces
  • Visualization, Diagnostics, and Validation Tools
  • Developer Tools and APIs
  • Editor and IDE Support
  • Software Packages built on Stan

Stan Toolkit

A curated collection of tools and interfaces to help you work effectively with Stan across various programming environments and stages of your modeling workflow.


Language-Specific Stan Interfaces

Write, compile, and run Stan models directly within your programming environment.

Language Tool Description
R CmdStanR Interface to Stan for R, based on CmdStan. Recommended interface for R users.
Python CmdStanPy Interface to Stan for Python, based on CmdStan. Recommended interface for Python users.
Web Stan Playground Browser-based editor and runtime environment for Stan models. Highly recommended for new users.
Julia Stan.jl Interface to Stan for Julia users.
MATLAB MatlabStan Interface to Stan for MATLAB users.
Shell CmdStan Command-line interface to Stan, usable from any shell environment.
R RStan R interface to Stan.
Python PyStan Legacy Python interface to Stan.

For detailed installation instructions see Getting Started.


High-Level Modeling Interfaces

Simplify model specification in R.

Language Tool Description
R brms Use extended lme4-like formula syntax to specify and fit multivariate and multilevel models in Stan. Requires CmdStanR or RStan, plus C++ compiler.
R rstanarm Provides robust and efficient pre-compiled Stan versions of R model-fitting packages. Easily installed from CRAN, no C++ compiler needed.

Visualization, Diagnostics, and Validation Tools

Validate, visualize, and compare fitted models to ensure robust results.

Language Tool Description
R bayesplot Plotting functions for posterior analysis, diagnostics, and model checking.
R loo Efficient leave-one-out cross-validation and WAIC for Bayesian models.
R posterior Tools for working with posterior distributions.
R projpred Projection predictive variable selection for Bayesian models.
Python ArviZ Exploratory analysis of Bayesian models with extensive visualization capabilities.
Julia ArviZ.jl Julia interface to ArviZ for Bayesian analysis.
Web MCMC Monitor Web-based tool for monitoring MCMC diagnostics.

Developer Tools and APIs

Access Stan’s computational backend for advanced applications and development.

Language Tool Description
C++ Stan Math Library Automatic differentiation and mathematical functions used by Stan.
Multiple Languages BridgeStan Library providing bindings to a model’s log densities, gradients, and more for C++, Python, Julia, R, and Rust.
R rstantools Tools for developers of R packages interfacing with Stan.
OCaml stanc3 The Stan compiler and programatic tools for manipulating Stan programs.

Editor and IDE Support

Enhance your coding experience with Stan language support in your favorite editor.

Editor/IDE Tool Description
RStudio Built-in Support RStudio 1.2+ includes Stan syntax highlighting and code snippets (Source code)
Visual Studio Code VSCode Stan Extension Stan language support with syntax highlighting, linting, autocompletion, and snippets
Emacs stan-mode
stan-ts-mode
Major mode for Stan with syntax highlighting and indentation
Tree-sitter based (Emacs 29+) major mode for Stan. Fewer features than stan-mode, but generally more up to date syntax highlighting.
Vim stan-vim Syntax highlighting, indentation, and code folding for Stan in Vim
JupyterLab jupyterlab-stan-highlight Syntax highlighting for Stan code blocks in JupyterLab
Javascript Prism
Highlight.js
Lightweight syntax highlighting library (Source code)
Syntax highlighter written in javascript (Source code)
Markdown Pandoc
Pygments
Stan syntax highlighting for document formats (Source code)
Python highlighter for Stan code blocks (Source code)
Zed zed-stan-extension Syntax highlighting for Stan in the Zed editor
LaTeX lstbayes LaTeX listings for Stan syntax highlighting
Sublime Text SublimeStan Syntax highlighting for Stan in Sublime Text
Atom atom-language-stan Stan language support in Atom editor and GitHub.com

Software Packages built on Stan

Language Tool Description
Python, R PROPHET Forecasting at scale for time series data.
R blavaan R package for Bayesian latent variable analysis.
R rethinking Software for book Statistical Rethinking

Additional R packages on CRAN which are built on Stan can be found in the reverse links from the packages rstan and rstanarm.

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