EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
This tool acts as a data science assistant, automating the most tedious parts of machine learning. You provide your raw dataset, and it automatically explores and optimizes different machine learning models and data preprocessing steps. The output is a highly effective machine learning model, ready for deployment. This is ideal for data scientists, analysts, or researchers looking to efficiently build high-performing predictive models.
10,049 stars. Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly find the best machine learning model and data pipeline for your dataset without extensive manual experimentation.
Not ideal if you require complete manual control over every specific algorithm choice or data transformation step in your machine learning workflow.
Stars
10,049
Forks
1,568
Language
Jupyter Notebook
License
LGPL-3.0
Category
Last pushed
Sep 11, 2025
Commits (30d)
0
Dependencies
22
Reverse dependents
1
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