Data science student builds CLI tool 'kaggle-prep' that automates EDA in one command

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A data science student and ML intern developed kaggle-prep, a command-line tool that automates the entire exploratory data analysis workflow from dataset download to notebook generation. The tool was built to eliminate repetitive boilerplate code that typically costs junior analysts two to three hours per project before any real analysis can begin. With a single command, kaggle-prep downloads datasets, generates nine standard visualizations, produces a data profile summary, and outputs a ready-to-run Jupyter notebook with preprocessing code. The tool was quietly released on PyPI without any marketing and reached 891 downloads within its first seven days. It is installable via pip and supports Kaggle datasets through a zero-configuration download mode.

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