{"id":"937c4cbf-0c1a-4e8c-b562-f08495ba0b08","shortId":"3EznPn","kind":"skill","title":"Parquet Column Statistics Profiler","tagline":"Profiles Apache Parquet files using pyarrow metadata APIs to extract column statistics, row group distributions, and encoding efficiency metrics without reading full datasets.","description":"# Parquet Column Statistics Profiler\n\nProfiles Apache Parquet files using pyarrow metadata APIs to extract column statistics, row group distributions, and encoding efficiency metrics without reading full datasets.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- $ npm install parquetjs\n\nRequirements and caveats from upstream:\n- This project requires a major overhaul, as well as handling and sorting through dozens of issues and prs.\n- fully asynchronous, pure node.js implementation of the Parquet file format\n- To use parquet.js with node.js, install it using npm:\n\nBasic usage or getting-started notes:\n- ------------\n- --------------------\n- Once you have installed the parquet.js library, you can import it as a single\n\n- Source: https://github.com/ironSource/parquetjs\n- Extracted from upstream docs: https://raw.githubusercontent.com/ironSource/parquetjs/HEAD/README.md\n\n## Source\n\n- [Agent Skill 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