vgarciasc/hundred-hammers
Quickly try out several ML models on a given dataset
This tool helps data scientists and machine learning practitioners quickly compare how different machine learning models perform on a given dataset. You input your dataset, and it automatically trains and evaluates various models, outputting a clear report with performance metrics and helpful visualizations. It's designed for anyone who needs to select the best model for their predictive task.
Available on PyPI.
Use this if you need to rapidly benchmark multiple classification or regression models to find the most suitable one for your data without writing extensive boilerplate code.
Not ideal if you need to build highly customized machine learning pipelines with advanced feature engineering or custom model architectures not readily available in popular libraries.
Stars
9
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jan 29, 2026
Commits (30d)
0
Dependencies
11
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