This project makes it easy to analyze the Python ecosystem by providing of all the code ever published to PyPI via git, parquet datasets with file metadata, and a set of tools to help analyze the data.
Thanks to the power of git the contents of PyPI takes up only 434.7 GB on disk, and thanks to tools like libcst every Python file can be analysed on a consumer-grade laptop in a few hours.