pypeh¶

pypeh is a lightweight ETL and data-operations toolkit for Personal Exposure and Health (PEH) data.

It helps you load PEH model resources, keep them in a session cache, read tabular study data into structured datasets, and run validation, enrichment, aggregation, export, or persistence workflows through adapters.

Install¶

Install the core package:

uv pip install pypeh

Install dataframe support for Polars-based tabular workflows:

uv pip install "pypeh[dataframe-adapter]"

First Steps¶

Most workflows start with a Session:

from pypeh import Session

session = Session()
session.load_persisted_cache(source="config")

See the Session API guide for the first documented workflow surface.

For YAML configuration of enrichment and aggregation calculations, see the Calculation Configuration guide.

Build These Docs¶

The documentation site is built with MkDocs:

make docs

To preview locally:

make docs-serve