UNEEFLOW

UNEEFLOW is a free Windows desktop app that helps you build machine learning models from tabular datasets with a guided, step by step workflow. It is designed to be offline first and privacy focused, so your data stays on your device.

What you can do

• Import CSV, Excel, or JSON

• One click EDA with automated data profiling (YData Profiling report)

• Guided target and feature selection

• Missing value handling

• Categorical encoding

• Train classification or regression models

• Clear model evaluation with insights from an LLM that interprets key metrics

• Export models as .pkl

• Auto generated prediction UI for instant prediction within the app (no extra coding needed)

Who it is for:

• Students and beginners learning practical ML

• Small business owners, who wants to make use of their data.

• Anyone who wants to train and test models without writing lots of code

• Users who prefer offline workflows for privacy or convenience

System requirements:

• Windows 10 or Windows 11 (64 bit)

• Recommended: 8 GB+ RAM

Support:

If you find a bug or want a feature, please leave a comment on this page or open an issue on the project repository.