Skip to content

Getting Started

It doesn't take much to get stata_kernel up and running. Here's how:


  • Stata. A currently-licensed version of Stata must already be installed. stata_kernel has been reported to work with at least Stata 13+, and may work with Stata 12.
  • Python. In order to install the kernel, Python 3.5, 3.6, or 3.7 needs to be installed on the computer on which Stata is running.

    I suggest installing the Anaconda distribution. This doesn't require administrator privileges, and is the simplest way to install Python and many of the most popular scientific packages.

    The full Anaconda installation is quite large, and includes many libraries for Python that stata_kernel doesn't use. If you don't plan to use Python and want to use less disk space, install Miniconda, a bare-bones version of Anaconda. Then when installing the package any other necessary dependencies will be downloaded automatically.

Windows-specific steps

In order to let stata_kernel talk to Stata, you need to link the Stata Automation library:

  1. In the installation directory (most likely C:\Program Files (x86)\Stata15 or similar), right-click on the Stata executable, for example, StataSE.exe. Choose Create Shortcut. Placing it on the Desktop is fine.
  2. Right-click on the newly created Shortcut to StataSE.exe, choose Property, and append /Register to the end of the Target field. So if the target is currently "C:\Program Files\Stata15\StataSE.exe", change it to "C:\Program Files\Stata15\StataSE.exe" /Register. Click OK.
  3. Right-click on the updated Shortcut to StataSE.exe; choose Run as administrator.

Package Install

To install the kernel, from a terminal or command prompt run:

pip install stata_kernel
python -m stata_kernel.install

If Python 2 is the default version of Python on your system, you may need to use

pip3 install stata_kernel
python3 -m stata_kernel.install

In order to get syntax highlighting in Jupyter Lab, run:

conda install -c conda-forge nodejs -y
jupyter labextension install jupyterlab-stata-highlight

If you didn't install Python from Anaconda, the conda command won't work and you'll need to install Node.js directly before running jupyter labextension install.


To upgrade from a previous version of stata_kernel, from a terminal or command prompt run

pip install stata_kernel --upgrade

When upgrading, you don't have to run python -m stata_kernel.install again.


Next, read more about Jupyter and its different interfaces or about how to use the Stata kernel, specifically.