Skip to main content

Magics for defining stan code in notebooks.

Project description


jupyterstan is a package to help development of Stan models (using pystan) in jupyter notebooks.

The package is heavily based on Arvinds-ds stanmagic package, but provides an interface that simply returns a pystan.Model object.

In addition, it bundles Arvinds-ds stan_code_helper package to improve syntax highlighting for stan cells.


  • Stan language syntax highlighting in all cells beginning with %%stan
  • Compile a stan model and save it as a pystan variable by running a %%stan cell
  • No longer worry about model_code, reading in stan files, etc.


To install the library:

pip install jupyterstan


To use the magic in your notebook, you need to lead the extension:

%load_ext jupyterstan

To define a stan model inside a jupyter notebook, start a cell with the %%stan magic. You can also provide a variable name, which is the variable name that the pystan.Model object will be assigned to. For example:

%%stan paris_female_births
data {
    int male;
    int female;

parameters {
    real<lower=0, upper=1> p;

model {
    female ~ binomial(male + female, p);

When you run this cell, jupyterstan will create a pystan Model object, which will compile your model and allow you to sample from it. To use your compiled model:

fit = paris_female_births.sampling(
    data={'male': 251527, 'female': 241945},

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for jupyterstan, version 0.2.0
Filename, size File type Python version Upload date Hashes
Filename, size jupyterstan-0.2.0.tar.gz (11.6 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page