Explainer Python Packages

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

interpret-community

Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

3brown1blue

First-principles Manim skill for Claude Code — mathematical animation from scratch, paper-explainer patterns, 21 rule files.

imputegap

ImputeGAP is a comprehensive Python library for imputation of missing values in time series data. It implements user-friendly APIs to easily visualize, analyze, and repair incomplete time series datasets.

interpret-text

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

nnlens

Explain any neural network layer by layer in five linked views — diagram, plain words, math, executed naive code, official implementation. An MCP server + local renderer driven by your own AI subscription; works in any language; explanations grow into a cross-linked library.

fwexplainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.