llm orchestrationQuick Start ↓

Get Started with Shapash

Python library for interpretable machine learning visualizations

Getting Started

1

Read the official documentation

The Shapash team maintains comprehensive docs that cover installation, configuration, and common patterns.

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2

Create an account

Visit the Shapash website to create your account and explore pricing options.

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3

Review strengths, tradeoffs, and alternatives

Our full tool profile covers Shapash's strengths, weaknesses, pricing, and how it compares to alternatives.

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Best For

Teams needing clear explanations of ML predictions for regulatory or compliance reasons

Developers looking to improve the interpretability and trustworthiness of their models

Projects where model transparency is critical, such as healthcare or finance

Resources