Petl

About Petl

Python package specifically designed for ETL tasks, offering tools for data extraction, transformation, and loading. Suitable for simpler, script-based ETL processes.

Key Features

• 1Lazy evaluation — transformations only execute when data is consumed
• 2Chainable table transformation API with minimal memory footprint
• 3Built-in readers and writers for CSV, TSV, JSON, XML, and databases
• 4Supports deduplication, field mapping, merging, and sorting
• 5Straightforward error logging and row-level validation hooks

How Python Data Engineers Use Petl

Python data engineers use petl for lightweight, script-based ETL tasks where Spark or Airflow would be overkill. A typical pipeline reads from a CSV or SQLite source, applies field renames and filters, then writes to a Postgres table — all in under 50 lines of readable Python.