{"repo":"Edwardvaneechoud/Flowfile","free":true,"listed":false,"github":"https://github.com/Edwardvaneechoud/Flowfile","clone":"git clone https://github.com/Edwardvaneechoud/Flowfile.git","description":"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.","language":"Python","stars":341,"topics":["drag-and-drop","etl","polars","python","visual-programming","vue","electron-app","etl-pipeline"],"license":"MIT","category":"data-pipelines","readme_excerpt":"Flowfile Visual ETL that compiles to Polars. Build pipelines on a canvas, run them locally or in the browser, export them as standalone Python. No platform lock-in. No install required to try it. ▶  Try it in your browser  → No install. No signup. Polars in the browser via Pyodide. Docs · Releases · Discussions · Architecture deep-dive --- Build pipelines on a visual canvas, run them, and export the graph as plain Python code that runs anywhere. Code and visual are two views of the same graph: drag nodes or write Python with a Polars-like API, your choice. Beyond the canvas: a Delta-backed catalog with time-travel and virtual tables, a SQL editor with embedded viz, flow parameters, sandboxed Python kernels, and a built-in scheduler. The AI assistant building a pipeline on the canvas — describe what you want, get a runnable flow.   --- What's in Flowfile A visual canvas with 40+ node types — joins, fuzzy matching, filters, pivots, aggregations, text-to-rows, and more. Read from local files, databases (PostgreSQL, MySQL, SQL Server, Oracle), cloud storage (S3, ADLS, GCS), or Kafka. Write the result wherever you want. Beyond the nodes, the formula editor brings 100+ transformation functions, and a Polars code node gives you full Polars support — all running in-process, no external engine. Building a Superstore pipeline on the canvas — filters, a join, a pivot, and aggregations, with a live data preview updating at every step.   A Python API with Pol","default_branch":null,"files":null,"tree":[],"storefront":"/r/Edwardvaneechoud","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Edwardvaneechoud/Flowfile/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}