light-project-structure

To create a standardized research project structure, you can generate an end-to-end project skeleton that organizes data, code, and results. This ensures reproducibility by provisioning a CCDS-aligned directory layout with ready-made templates.

The best way to scaffold a scientific research repository is to use a script that automatically creates standardized directories and configuration files. This approach provisions a complete project skeleton, including README, pyproject.toml, and .gitignore, in one command.

Yes, this project scaffolding tool supports DVC integration for data versioning. The scaffold script can optionally initialize DVC and place a dataset stub during the project skeleton creation to help manage data pipelines.

Yes, you can use Poetry instead of uv as the backend for your research project setup. While the default backend is uv, the generated pyproject.toml and project structure fully support Poetry for dependency management.

The CCDS-aligned directory layout organizes notebooks and experiments by separating them into dedicated folders. Notebooks are split into exploratory and reports, while experiments, models, and results have distinct directories to ensure clear data and code separation.

When generating a reproducible research project skeleton, templates for README.md, CHANGELOG.md, PROJECT_PLAN.md, and pyproject.toml are included. Pre-commit configurations and editorconfig files are also provisioned to enforce coding standards.