Clarity before complexity
The project is designed for people who want to understand the workflow, not just receive a magic score.
About Me
Built by Akash Anipakalu Giridhar
BreezeML is a serious open-source ML workflow project: small dependency surface, honest defaults, clear explanations, and clean exits to scikit-learn.
Honesty before optimization
BreezeML surfaces leakage, fairness gaps, drift, uncertainty, and caveats before production does.
Leave freely
export() writes standalone scikit-learn code so the workflow can graduate out of BreezeML when needed.
Why BreezeML exists
scikit-learn gives excellent building blocks. BreezeML adds the workflow around them: task detection, preprocessing, comparison, validation, model cards, export, deployment, and agent tools. The goal is not to hide machine learning. The goal is to make the path easier to inspect.