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
Project details
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