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shapash
Jupyter Notebook

shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

by MAIF · GitHub
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ethical-artificial-intelligenceexplainabilityexplainable-mlApache-2.0Jupyter Notebook
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In plain words

Create easy-to-understand visual explanations for machine learning models, helping both experts and non-experts grasp their workings.

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3.25k3.23k
2026-07-072026-08-31
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📄 About

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

shapash has 3.2k stars on GitHub. It has been forked 389 times. shapash is written mainly in Jupyter Notebook. It has been in active development since 2020. shapash is available under the Apache-2.0 license. Its main topics are ethical-artificial-intelligence, explainability, explainable-ml, interpretability.

Frequently asked questions

What is shapash?

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Is shapash open source?

shapash is an open-source project. It is released under the Apache-2.0 license.

Is shapash free?

Yes. shapash is free and open source — you can use, modify and self-host it.

What license does shapash use?

shapash is available under the Apache-2.0 license.

What language is shapash written in?

shapash is written mainly in Jupyter Notebook.

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