Stan
Stan provides software for Bayesian data analysis, including tools for sophisticated statistical modeling.
About Stan
Stan is software for Bayesian data analysis that provides a probabilistic programming language for statistical modeling. It covers uses from simple linear regression to multi-level models and time-series analysis.
It provides interfaces for Python, Julia, R, and the Unix shell for use on laptops, clusters, or in the cloud. It also includes tools for validation and visualization to support decision-making and communication.
Key features
- Probabilistic programming language for Bayesian inference
- Modeling from linear regression to time-series analysis
- Interfaces for Python, Julia, R, and Unix shell
- Use on laptops, clusters, or in the cloud
- Validation and visualization tools for models
Best for: Analysts and developers building Bayesian models in Python, R, Julia, or Unix shell environments.
Good for
- Works with Python, Julia, R, and Unix shell across laptops, clusters, and cloud
- Handles varied models including regression, multi-level, and time-series analysis
- Community forums and tutorials cover installation through advanced modeling topics
Stan at a glance
- Website
- mc-stan.org
- Category
- Development › Developer Tools
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Good for
- Developers
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
Stan alternatives
Tools and sites you could use instead, ranked by how closely they match.
Exploratory data analysis in Python is the focus of Dora, a library with functions for cleaning, feature selection, visualization, and validation.
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The pandas project provides open-source Python tools for analyzing and manipulating data.
emcee provides a Python toolkit for affine-invariant Markov chain Monte Carlo sampling.
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24 alternatives
bamboolib provides a graphical interface for working with Pandas DataFrames.
statsmodels provides statistical modeling and econometrics tools in Python.
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24 alternatives
mlxtend adds helper modules for Python data analysis and machine learning libraries.
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Stan FAQ
Which programming interfaces does Stan support?
Python, Julia, R, and the Unix shell.
Where can Stan be run?
On laptops, clusters, or in the cloud.
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