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How AI describes Captum

Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this

Captum logoCaptumcaptum.ai

Captum is an open-source, extensible library for model interpretability built on PyTorch. It supports interpretability across multiple modalities including vision and text, and can be used with most PyTorch models with minimal modification.

Parse Score

63.8

#5 of 57 in Explainable AI & Model Monitoring Platforms

Strength44
Reach48
Authority51

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Words AI uses

AI reaches for open-source · interpretability library · dedicated when it describes Captum.

Sources

captum.ai shapes more of what AI says about Captum than any other source, at 10% of its citations.

medium.com · aiwiki.ai · mdpi.com · pmc.ncbi.nlm.nih.gov

AI questions where Captum appears

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The market map

Explainable AI & Model Monitoring Platforms →
10%20%50%Category leadersSpecialistsIn the mixLong tailNamed in more AI answers →Appears earlier in the answer →SHAP DocumentationInterpretMLFiddler AILIME DocumentationAI Explainabilit…IBMAmazonLIMEAlphabetMicrosoftELI5What-If ToolArize AISHAPCaptum

Where AI ranks Captum

Explainable AI & Model Monitoring Platforms#5
  • Excerpts where Captum appeared in the AI's answer

    ChatGPT Search · excerpt
    Captum (Meta AI) — interpretability library for PyTorch models, including methods such as Integrated Gradients and saliency analysis.
    Google AI Mode · excerpt
    Captum is an open-source, extensible library built on PyTorch by Meta for model interpretability and understanding, available on Captum.ai.
  • Excerpts where Captum appeared in the AI's answer

    Google AI Mode · excerpt
    Captum (by PyTorch) - What it is: A production-ready model interpretability and feature attribution framework.
  • Excerpts where Captum appeared in the AI's answer

    Google AI Mode · excerpt
    Captum: Designed for PyTorch models, Captum provides algorithms like Integrated Gradients to provide feature attributions.