Run Parameterized Jupyter Notebooks

Run Notebook is a GitHub Action designed to automate the execution of Jupyter notebooks within CI/CD workflows. It leverages Papermill to inject parameters into notebooks and enables the upload of generated outputs as artifacts, facilitating reproducible data analysis and reporting.

Key Features

• Parameterized Execution — Injects parameters into Jupyter notebooks using Papermill, supporting dynamic inputs for flexible workflows.
• Artifact Upload — Integrates with GitHub's upload-artifact action to save notebook outputs, making results easily accessible.
• Secrets Management — Automatically provides a JSON file containing GitHub secrets, allowing secure access to sensitive data within notebooks.
• Notebook Chaining — Supports sequential execution of multiple notebooks, enabling complex, multi-step data pipelines.
• Output Polling — Offers an optional polling mechanism to display live output from long-running cells, improving visibility in GitHub Actions logs.

Philosophy

Run Notebook emphasizes automation and reproducibility, aiming to seamlessly integrate interactive Jupyter notebooks into automated workflows while maintaining security and flexibility.