Building a Visual ML Pipeline Generator with Flask & Vanilla JS (Project Showcase)

Опубликовано: 16 Май 2026
на канале: 1mystic
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This is a dive into Domino ML, a custom-built visual machine learning environment. This project allows users to construct complex ML workflows visually and instantly export them as production-ready Python scripts, Jupyter Notebooks, or Docker containers.

It solves the problem of repetitive boilerplate code by automatically generating the pipeline for you. I also added features like version control and cloud storage. Let me know what you think in the comments!

Key Capabilities:

Smart State Management (Undo/Redo)

Real-time Model Validation

Export to Notebooks

Github : 1mystic

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