BridgeStan
The facts below are what the maker publishes about BridgeStan, checked and dated. Our editors have not written about it yet.
Plans and prices
From BridgeStan's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| BridgeStan | Free | Open source library; requires a C++14 compiler and make utility |
The facts
Each one read from BridgeStan's own pages, with the date it was checked.
What it does
- Bayesian analysis
- Yeschecked 24 Sep 2026
- Build requirements
- Stan requires a C++14 compiler and GNU make on Unix-like systems or mingw32-make on Windows; Microsoft's compiler is unsupported on Windows.checked 8 Oct 2026
- Customization
- Compiler flags can be customized through make options or the make/local file, including optimization and Stan compiler flags.checked 8 Oct 2026
- Data import formats
- JSONchecked 24 Sep 2026
- Deployment
- desktopchecked 24 Sep 2026
- Distribution
- The source repository and released archives are available for download, and language packages can download BridgeStan sources when compiling a model.checked 8 Oct 2026
- Hessian behavior
- Hessians use central finite differences by default; nested autodiff can be enabled at compile time for models that support it.checked 8 Oct 2026
- Installation
- BridgeStan can be downloaded as a released source archive or cloned from GitHub, and requires a C++ toolchain and GNU Make.checked 8 Oct 2026
- Intended users
- The documentation describes researchers and library authors developing inference algorithms for arbitrary Stan models as its intended users.checked 8 Oct 2026
- Language interfaces
- BridgeStan has clients for Python, Julia, R, and Rust, plus a public C API.checked 8 Oct 2026
- Model data
- The Python interface accepts model data as a JSON string, a JSON file path, or a dictionary converted to JSON.checked 8 Oct 2026
- Model methods
- Its model interface exposes log densities, gradients, Hessians, and parameter constraining and unconstraining transforms.checked 8 Oct 2026
- Parallelism
- Threaded calls require enabling STAN_THREADS, and models with and without that setting should not be mixed in one process because this may cause crashes.checked 8 Oct 2026
- Purpose
- BridgeStan provides in-memory access to methods of Stan models for building inference algorithms in higher-level languages.checked 8 Oct 2026
- Python package
- The Python interface is available from PyPI as bridgestan and requires Python 3.9 or later and NumPy.checked 8 Oct 2026
- Python requirements
- The Python package requires Python 3.9 or newer and NumPy, and the system prerequisites still need to be installed separately.checked 8 Oct 2026
- R distribution
- BridgeStan is not available on CRAN but is mirrored by R-Multiverse and can also be installed from GitHub.checked 8 Oct 2026
- Regression models
- Nochecked 24 Sep 2026
- Scripting support
- Yeschecked 24 Sep 2026
- Security and compliance
- The opened official documentation and repository pages do not state security certifications or compliance claims.checked 8 Oct 2026
- Stan integration
- BridgeStan works with Stan models, including models such as those in posteriordb.checked 8 Oct 2026
- Statistical tests
- Nochecked 24 Sep 2026
- Support
- The documentation links to Stan Forums and says contributions are welcome when language bindings lack desired features.checked 8 Oct 2026
Money
- Free plan
- Yeschecked 24 Sep 2026
