Flowfile: Visual ETL

🚀 Flowfile: Visual ETL + speed with Polars

Flowfile combines drag‑and‑drop workflows with the power of Polars, allowing you to build data pipelines visually and export them as production-ready Python code.
Ideal for anyone who needs to transform data quickly, document processes, and keep technical traceability.

✨ Key points

• 🧩 Visual pipeline builder
• ⚡ High-performance processing with Polars
• 🐍 Direct export to Python
• 🌐 Lightweight web version with WASM
• 📦 Integration via Docker or installable from PyPI

🟦 Quick explanation

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If you’ve never worked with ETL:
Flowfile is like a visual editor where you drag blocks that represent data transformation steps (filter, join, group…).
Each block processes the data and connects to the next.
At the end, you can see the whole flow, debug it and even convert it into Python code without writing it by hand.

More information at the link 👇

GitHub - Edwardvaneechoud/Flowfile: Flowfile is a visual ETL tool and Python library combining drag-and-drop workflows with Polars dataframes. Build data pipelines visually, define flows programmatically with a Polars-like API, and export to standalone Python code. Perfect for fast, intuitive data processing from development to production.

Flowfile is a visual ETL tool and Python library combining drag-and-drop workflows with Polars dataframes. Build data pipelines visually, …

github.com ↗