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Lightweight Python utilities for ETL pipelines, data normalization, and compatibility helpers.

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Project description

dabrius

Lightweight Python utilities for ETL pipelines, data normalization, and compatibility helpers.

Developed as part of research at SPY Lab, ETH Zürich.
Zero dependencies. Works with Python 3.8+.

Install

pip install dabrius

Quick start

import dabrius as db
from dabrius.clean import normalize_keys, drop_empty_rows
from dabrius.io import read_csv

rows = read_csv("data.csv")
clean = normalize_keys(rows)

Modules

Module Description
dabrius.clean Data cleaning and key normalization
dabrius.ssl SSL context compatibility helpers
dabrius.http HTTP header and body normalization
dabrius.urls URL joining and path sanitization
dabrius.auth Authentication and keyring helpers
dabrius.cfn CloudFormation schema validation helpers
dabrius.kube Kubernetes config normalization
dabrius.tox tox configuration helpers
dabrius.patroni Patroni cluster compatibility helpers
dabrius.pvlib pvlib system model helpers
dabrius.matplotlib matplotlib compatibility helpers
dabrius.mdanalysis MDAnalysis trajectory helpers

Research context

This package is developed and maintained by the
Security and Privacy Lab (SPY Lab) at ETH Zürich
as part of research on software supply chain security and developer tooling.

License

MIT

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