Package a project

This section explains how to build your project documentation, and how to bundle your project into a Python package.

Add documentation to your project

You can generate project-specific documentation by running kedro build-docs in the project’s root directory. Kedro builds the resulting HTML files in docs/build/html/. To browse the documentation generated, open docs/build/html/index.html in your browser, or run kedro build-docs --open to automatically open the documentation after building.

The build-docs command creates documentation based on the code structure of your project. Documentation includes any docstrings defined in your code.

Kedro uses the Sphinx framework, so if you want to customise your documentation, please refer to docs/source/conf.py and the corresponding section of the Sphinx documentation.

Package your project

To package your project, run the following in your project’s root directory:

kedro package

Kedro builds the package into the dist/ folder of your project, and creates one .egg file and one .whl file, which are Python packaging formats for binary distribution.

The resulting package only contains the Python source code of your Kedro pipeline, not any of the conf/, data/ and logs/ subfolders. This means that you can distribute the project to run elsewhere, such as on a separate computer with different configuration, data and logging. When distributed, the packaged project must be run from within a directory that contains the conf/ subfolder (and data/ and logs/ if your pipeline loads/saves local data or uses logging).

Recipients of the .egg and .whl files need to have Python and pip on their machines, but do not need to have Kedro installed. The project is installed to the root of a folder with the relevant conf/, data/ and logs/ subfolders, by navigating to the root and calling:

pip install <path-to-wheel-file>

For example, having installed project kedro-spaceflights and package kedro_spaceflights, a recipient can run the Kedro project as follows from the root of the project:

python -m kedro_spaceflights

An executable, kedro-spaceflights, is also placed in the bin/ subfolder of the Python installation location.

Once you have your project installed, you can run your pipelines from any Python code by simply importing it as follows:

from kedro_spaceflights.__main__ import main

main(
    ["--pipeline", "__default__"]
)  # or simply main() if you don't want to provide any arguments

This is equivalent to running kedro run and you can provide all the parameters described by kedro run --help.

Docker, Airflow and Deployment

There are several methods to deploy packaged pipelines via 1st party plugins and associated documentation: