Melon

Melon provides a web‑based interface for creating machine‑learning models from tabular data without writing code. Users upload CSV files, select the type of prediction or classification task, and the system automatically selects appropriate preprocessing steps, feature engineering, and model algorithms. The resulting model is packaged for deployment, allowing immediate integration into production environments.

The tool is aimed at analysts, data scientists, and developers who need quick, reproducible models from structured datasets but prefer to avoid manual model‑building pipelines. It abstracts the typical workflow of data cleaning, hyper‑parameter tuning, and model evaluation into a single click.

What distinguishes Melon is its end‑to‑end automation: from raw CSV input to a ready‑to‑serve model, all performed within the same platform. The current version is marked as experimental, indicating ongoing development and testing.