A Python package for generating PDF codebooks from tabular data. Quickly create project descriptions, data dictionaries, and variable summaries with customizable formatting. Ideal for data science, reproducible research, and sharing dataset documentation.

0 stars 0 forks 0 watchers Python BSD 3-Clause "New" or "Revised" License
2 Open Issues Need Help Last updated: Sep 24, 2025

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AI Summary: This issue focuses on improving code readability and maintainability by standardizing function signatures and docstrings across the codebase. The task involves ensuring all functions have clear, type-annotated signatures and comprehensive docstrings that detail their purpose, parameters, return values, and any side effects, following a consistent style.

Complexity: 3/5
documentation good first issue refactor

A Python package for generating PDF codebooks from tabular data. Quickly create project descriptions, data dictionaries, and variable summaries with customizable formatting. Ideal for data science, reproducible research, and sharing dataset documentation.

Python

AI Summary: This GitHub issue provides a beginner-friendly guide on how to run `pytest` locally before submitting a pull request. It covers essential steps like setting up and activating a virtual environment, installing project and testing dependencies, and finally executing the tests to ensure code changes function correctly.

Complexity: 1/5
documentation good first issue testing beginner-friendly

A Python package for generating PDF codebooks from tabular data. Quickly create project descriptions, data dictionaries, and variable summaries with customizable formatting. Ideal for data science, reproducible research, and sharing dataset documentation.

Python