Captum is a library for model interpretability and understanding in PyTorch. It provides a suite of algorithms to interpret models and understand their behavior.
"Explainable AI for PyTorch models"
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Upvotes | 0 | 3,280 | 791 | 785 |
Avg. Rating | N/A | 4.7 | 4.6 | 4.8 |
Slogan | Explainable AI for PyTorch models | Your AI assistant for conversation, research, and productivity—now with apps and advanced voice features. | Your everyday Google AI assistant for creativity, research, and productivity | Accurate answers, powered by AI. |
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Pricing Model | Free | Freemium Enterprise | Freemium Pay-per-Use Enterprise | Freemium Subscription Enterprise |
Pricing Details | Captum is an open-source library and is free to use. | Free tier, Plus at $20/month, Team at $25–30/user/month, Pro at $200/month, Enterprise custom-priced | Free tier via AI Studio and Gemini API; Pay-per-Use: $1.25–$2.50 per million input tokens, $10–$15 per million output tokens; Google AI Pro subscription at $19.99/month, AI Ultra at $249.99/month; Workspace (Business/Enterprise): $8.40–$45/user/month all-included. | Free tier, Pro at $20/month, Max at $200/month, Enterprise from $40/user/month. All prices in USD. |
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Target Audience | Scientists, Software Developers, AI Enthusiasts | AI Enthusiasts, Software Developers, Content Creators, Marketing Professionals, Product Managers, Entrepreneurs, Educators, Students, Remote Workers, Customer Service, Scientists, Financial Experts, Business Executives | AI Enthusiasts, Software Developers, Scientists, Content Creators, Marketing Professionals, Product Managers, Entrepreneurs, Educators, Students, Business Executives | AI Enthusiasts, Scientists, Content Creators, Product Managers, Business Executives, Entrepreneurs, Educators, Students |
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Use this page as a starting point to evaluate Captum alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
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Insights power every workflow inside Captum. Decision-makers get real-time context instead of waiting for manual reports. Analytics and reporting surface the metrics needed to act quickly.
Long-form discussions stay coherent even across multiple sessions. Currently optimized for Web App.
SDKs for Python remove boilerplate and shorten the path to production.
Teams can inspect the codebase and adapt Captum to specific environments.
Captum consolidates data to expose actionable insights quickly. Analytics and reporting surface the metrics needed to act quickly.
Analysts use Captum to assemble data, explore patterns, and publish findings faster. Analytics and reporting surface the metrics needed to act quickly.
Captum is an open-source library and is free to use.
Usage Model: API Calls — ensuring you only pay for what you actually use.
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