CLI tool for data-science: 891 downloads in 7dy
Описание и применение
CLI‑инструмент kaggle-prep автоматизирует весь процесс EDA, сокращая настройку проекта до секунд и позволяя пользователям быстро получать профили, визуализации и готовые ноутбуки.
Задача
Data scientists spend 45‑60 minutes on repetitive EDA boilerplate, wasting time that could be spent on modeling.
Результат
kaggle-prep reduced EDA setup from 45‑60 minutes to a few seconds, enabling 891 monthly downloads and 282 downloads in the last 7 days without marketing.
Рабочий процесс
- Install kaggle-prep via pip
- Run
kaggle-prep <dataset> --allto download, profile, visualize, generate preprocessing code, and create a starter notebook - Optionally use
--profileor--notebookfor partial runs - Review generated outputs (JSON profile, HTML report, PNG plots, Python script, Jupyter notebook)
- Use
--feedbackto submit usage data and suggestions
Доказательства
I built kaggle-prep – a CLI tool that automates the entire EDA workflow from dataset download to production-ready notebook.
Monthly Downloads 891, Last 7 Days 282, Yesterday 216
Full EDA pipeline: kaggle-prep uciml/iris --all
- Дата записи: 2026-09-02T14:27:31.883Z