Research Notebook

Welcome to the documentation for Research Notebook.

Overview¶

This project template demonstrates best practices for reproducible scientific research using Python. It integrates modern tools for experiment tracking, configuration management, and documentation.

Features¶

• Pixi environment management with conda-forge packages
• DVC for data versioning and pipeline management
• Hydra + hydra-zen for configuration management
• MyST for scientific documentation
• JupyterLab and Marimo notebook environments

Getting Started¶

See the Getting Started tutorial to set up your environment and run your first experiment.