koaning/scikit-lego

Extra blocks for scikit-learn pipelines.

64
/ 100
Established

This project offers extra tools to enhance your data analysis and machine learning workflows. It takes your raw datasets and helps you preprocess them, build more complex models, and evaluate their performance with specialized metrics. Data scientists, machine learning engineers, and analysts who build predictive models will find these tools useful.

1,383 stars. Used by 1 other package. Available on PyPI.

Use this if you are a data professional building machine learning models and need additional data transformers, estimators, or evaluation metrics not found in standard libraries, especially for tasks like fairness-aware modeling or time series feature engineering.

Not ideal if you are looking for a standalone machine learning framework, a tool for basic data manipulation, or if you prefer a low-code/no-code solution.

data-science machine-learning-engineering predictive-modeling data-preprocessing model-evaluation
Maintenance 10 / 25
Adoption 11 / 25
Maturity 25 / 25
Community 18 / 25

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Stars

1,383

Forks

124

Language

Python

License

MIT

Last pushed

Mar 12, 2026

Commits (30d)

0

Dependencies

4

Reverse dependents

1

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