---
title: "Parquet Column Statistics Profiler"
description: "Profiles Apache Parquet files using pyarrow metadata APIs to extract column statistics, row group distributions, and encoding efficiency metrics without reading full datasets."
verification: "security_reviewed"
source: "https://github.com/ironSource/parquetjs"
category:
  - "Data Extraction & Transformation"
framework:
  - "ChatGPT Agents"
tool_ecosystem:
  github_repo: "ironsource/parquetjs"
  github_stars: 387
  npm_package: "parquetjs"
  npm_weekly_downloads: 170660
---

# Parquet Column Statistics Profiler

Profiles Apache Parquet files using pyarrow metadata APIs to extract column statistics, row group distributions, and encoding efficiency metrics without reading full datasets.

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/parquet-column-statistics-profiler/)