hardefarogonondo/data-science-project-folder-structure

Leading template for Data Science directory layouts rooted in professional industry standards. Simplify and enhance your Data Science project management.

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/ 100
Emerging

This project provides a standardized and organized folder structure for your data science initiatives. It helps you manage everything from raw data and processed datasets to notebooks covering data preparation, analysis, and model training, all the way to final reports and deployed models. Data scientists, machine learning engineers, and anyone managing complex analytical projects would use this.

No commits in the last 6 months.

Use this if you are a data professional looking for a clear, industry-standard way to organize your data science projects, ensuring consistency from data ingestion to model deployment.

Not ideal if your project is a simple script or a small, one-off analysis that doesn't require a comprehensive, multi-stage workflow.

data-science machine-learning-engineering project-management data-analysis model-deployment
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

17

Forks

5

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Sep 23, 2025

Commits (30d)

0

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