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.

drag-and-drop electron-app etl etl-pipeline polars python visual-programming vue
2 Open Issues Need Help Last updated: Jul 8, 2025

Open Issues Need Help

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Data Science ETL Tools

AI Summary: Implement a user interface notification (toast or banner) that informs the user of the current flow execution mode (e.g., Development Mode with caching, or Performance Mode without caching) after they click the "Run" button.

Complexity: 2/5
good first issue frontend ui/ux

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.

Python
#drag-and-drop#electron-app#etl#etl-pipeline#polars#python#visual-programming#vue
Data Science ETL Tools

AI Summary: The task is to create a Linux installer for the Flowfile application. This involves packaging the application's components (Electron app, backend services, etc.) in a format suitable for Linux distributions, likely using a tool like AppImage or a distribution-specific packaging system. The installer should be added to the GitHub releases page.

Complexity: 4/5
enhancement good first issue

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.

Python
#drag-and-drop#electron-app#etl#etl-pipeline#polars#python#visual-programming#vue