MLxtend
MLOps & Infrastructure
Overview
MLxtend is an open-source Python library that provides extensions to the data science and machine learning ecosystem. It offers utilities for feature selection, model evaluation, ensemble methods, association rule mining, and data visualization. MLxtend complements scikit-learn, Pandas, and NumPy, providing additional tools that are commonly needed in ML workflows but not available in the standard libraries.
- Pricing model
- Free
- Deployment
- Self-hosted / on-premises, API / SDK
- Regions served
- Global
- Categories
- Free, MLOps & Infrastructure, Software & technology, Workflow orchestration, API / SDK, Self-hosted / on-premises, Predictive / classical ML, Functional application
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Deployment options
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- rasbt.github.io
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
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