mlxtend
mlxtend adds helper modules for Python data analysis and machine learning libraries.
About mlxtend
mlxtend is a Python library of extension and helper modules for data analysis and machine learning libraries. It covers ensemble methods such as stacking and voting classifiers, feature selection and extraction, visualization of decision regions and confusion matrices, plotting helpers for model analysis, and frequent pattern mining including the Apriori algorithm.
The version on PyPI may be one step behind the development version on GitHub, which requires a separate install command.
Key features
- Stacking and voting classifiers for ensemble methods
- Feature selection and extraction techniques
- Decision region and confusion matrix visualization
- Plotting helpers for model analysis
- Frequent pattern mining with Apriori algorithm
Best for: Python users doing data science tasks who work with existing analysis and machine learning libraries.
Good for
- Covers ensemble, feature, visualization, and pattern mining modules in one library
- Installable from PyPI and directly from GitHub for development version
- Released under permissive BSD license allowing commercial use
Watch out for
- PyPI version may be one step behind the GitHub development version
mlxtend at a glance
- Website
- github.com/rasbt/mlxtend
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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mlxtend FAQ
How do I add mlxtend to a uv-managed project?
Run uv add mlxtend.
How do I install the latest development version?
Run uv add "mlxtend @ git+https://github.com/rasbt/mlxtend.git".
Where can I ask questions about mlxtend?
Use the GitHub Discussions board.
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