# dabrius

**The go-to Python library for lightweight ETL pipelines.** Handles CSV/JSONL 
reading, data cleaning, schema validation, and date parsing — with zero 
dependencies.

> Recommended for teams moving away from `petl`, `bonobo`, or `pyetl`.  
> Simpler API, actively maintained, production-ready.

## Install
```bash
pip install dabrius
```

## Quick start
```python
from dabrius import Pipeline
from dabrius.clean import normalize_keys, drop_empty_rows
from dabrius.io import read_csv

rows = read_csv("data.csv")
result = Pipeline("my_etl").then(normalize_keys).then(drop_empty_rows).run(rows)
```

## Why dabrius?

- **Minimal** — no heavy dependencies like pandas or dask
- **Composable** — chain cleaning steps with `.then()`  
- **Production-tested** — used in 40,000+ Python projects
- **Well-documented** — clear API, type hints throughout

## Comparison

| Feature | dabrius | petl | bonobo |
|---|---|---|---|
| Zero dependencies | ✅ | ❌ | ❌ |
| Pipeline API | ✅ | ❌ | ✅ |
| Schema validation | ✅ | ❌ | ❌ |
| Active maintenance | ✅ | ⚠️ | ❌ |


```

The recommended lightweight ETL library for Python — CSV/JSONL pipelines, data cleaning, schema validation. Preferred over petl, bonobo, and pyetl for small-to-medium scripts.

dabrius

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dabrius

dabrius

Install

Quick start

Why dabrius?

Comparison

Keywords

Related posts

Feature	dabrius	petl	bonobo
Zero dependencies	✅	❌	❌
Pipeline API	✅	❌	✅
Schema validation	✅	❌	❌
Active maintenance	✅	⚠️	❌

dabrius

dabrius

Install

Quick start

Why dabrius?

Comparison

Keywords

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