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SciStanPy

Python wrapper around the Stan programming language, designed particularly for use in natural science applications.

Install / Use

/learn @microsoft/SciStanPy
About this skill

Quality Score

0/100

Category

Design

Supported Platforms

Universal

README

SciStanPy: Intuitive Bayesian Modeling for Scientists

Welcome to SciStanPy, a Python framework that makes Bayesian statistical modeling accessible to scientists and researchers. This page covers installation only. For comprehensive documentation, see the documentation. For worked examples, take a look at the examples subfolder of this repository. A static version of these examples can also be found in the documentation here.

NOTE: This is an Alpha release! Please:

  1. Open issues for all encountered issues
  2. Provide feedback! What works well? What can be improved?

Best efforts will be made to preserve the existing API structure, but it may change as feedback arrives.

Installation

To start, clone SciStanPy from GitHub:

git clone https://github.com/microsoft/SciStanPy.git

If you are not planning to contribute to SciStanPy, you can install with pip as below from the root directory.

pip install .

Once Python dependencies are installed with pip, install cmdstan with the command install_cmdstan. Installation of SciStanPy is now complete! Take a look here for a quick-start guide.

If you are a developer looking to contribute to SciStanPy (or if you are a casual user who wants to use the development environment), install via conda as below:

conda env create -f conda.yml
conda activate scistanpy
install_cmdstanpy

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repositories using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft’s Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party’s policies.

View on GitHub
GitHub Stars11
CategoryDesign
Updated21d ago
Forks2

Languages

Python

Security Score

75/100

Audited on Mar 11, 2026

No findings