Parquet Inspector
Inspect Parquet metadata, row groups, column statistics and encodings without uploading the file to a cloud viewer. DataEngUtils opens Parquet locally with an Apache Arrow engine compiled to WebAssembly so you can debug schema drift, missing statistics and surprisingly large row groups before a pipeline incident becomes a pager alert. Data engineers use it when a job suddenly doubles storage, when a partner changes a nested field, or when you need to confirm compression before approving a release. Everything stays on your device, which is what you want for regulated datasets and production extracts.
Open it in the app
Parquet Inspector runs in the DataEngUtils browser app on a Rust engine (Apache Arrow) compiled to WebAssembly — free to use, entirely client-side, and nothing is uploaded.
How it works
1. Open Parquet Inspector
Open the tool in the DataEngUtils app — no install, no account.
2. Drop a Parquet file
Drag a file in to read the footer metadata, schema and row group statistics instantly.
3. Review and export
Browse columns and stats, preview rows, and convert to CSV or JSON when you need the data out.
Why not use an online tool?
Online inspectors tools require uploading your Parquet and CSV files to a third-party server. For production work, that is a security and compliance risk. DataEngUtils runs a client-side engine in your browser — same convenience, none of the exposure.