# Captum

> Model interpretability library for PyTorch

- Category: [Observability & Evals](https://ailandscape.org/category/observability-evals) › Explainability & Alignment
- Homepage: https://captum.ai
- Repository: https://github.com/pytorch/captum
- Tags: explainability, xai, pytorch
- Added to the landscape: 2026-03-18

## Similar tools in Explainability & Alignment

- [ELI5](https://ailandscape.org/tool/eli5): Debug and explain ML classifiers and regressors
- [InterpretML](https://ailandscape.org/tool/interpretml): Microsoft's toolkit for model interpretability
- [LIME](https://ailandscape.org/tool/lime): Local interpretable model-agnostic explanations
- [SHAP](https://ailandscape.org/tool/shap): Game theoretic approach to explain ML model outputs

---

Part of [AI Landscape](https://ailandscape.org), an open map of the AI ecosystem. Web page: https://ailandscape.org/tool/captum · Index for AI assistants: https://ailandscape.org/llms.txt