Parquet Data Profiler
Profile a Parquet file in your browser and get per-column statistics — null percentage, distinct counts, min and max, mean and standard deviation, histograms and top values. DataEngUtils computes the profile locally with an Apache Arrow engine compiled to WebAssembly, so production datasets never leave your machine. Reach for it when you inherit an extract, when you want a data-quality read before modelling, or when a dashboard number looks wrong and you need to check distributions fast. There is nothing to install and no query to write; drop the file and read the profile.
Open it in the app
Parquet Data Profiler runs in the DataEngUtils browser app on a Rust engine (Apache Arrow) compiled to WebAssembly — part of the Pro workbench, entirely client-side, and nothing is uploaded.
How it works
1. Open Parquet Data Profiler
Open the tool in the DataEngUtils app — part of the Pro workbench, fully local.
2. Drop a Parquet file
Profile all rows or a scoped subset; results are computed in a Web Worker.
3. Read and export the profile
Review distributions, nulls and top values per column, then copy what you need.
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.