Data

framescan

Profile a CSV or Parquet file and write the result as one HTML page.

Install

pip install git+https://github.com/jmweb-org/framescan

If you use uv, also as an isolated CLI:

uv tool install git+https://github.com/jmweb-org/framescan

What it does

Before writing a single line of cleanup over a new file, it helps to know what's inside it: which columns have gaps, which are nearly constant, how correlated two of them are. framescan profiles a CSV or Parquet file, column by column, and writes the result as a single HTML page with the histograms drawn as inline SVG, no charting library and no server to keep running.

In action

$ framescan examples/inventory.csv -o report.html
framescan: wrote report.html (10,132 bytes)

Features

—An SVG histogram and min/max/mean/std for every numeric column.
—Top five values per categorical column, with null count and cardinality.
—A colored Pearson correlation matrix, computed in Python with no JavaScript.
—One HTML file with everything inline: open it, attach it to an email, or commit it next to the dataset.

View the code on GitHub →

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