shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
This tool helps data scientists, analysts, and researchers quickly test various machine learning models for classification, regression, or time series forecasting tasks. You provide your dataset, and it automatically trains and evaluates over 40 different models, showing you which ones perform best without needing to fine-tune each one individually. This is ideal for quickly identifying strong candidate models for your specific data problem.
3,301 stars. Actively maintained with 12 commits in the last 30 days. Available on PyPI.
Use this if you need to rapidly benchmark many different machine learning models to see which is most promising for your dataset, without deep technical setup.
Not ideal if you already know exactly which model type you want to use and are focused on deep optimization or custom architecture development.
Stars
3,301
Forks
368
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
12
Dependencies
9
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