Metaflow is a human-friendly Python library that helps data scientists and engineers build and manage real-life data science projects efficiently.
"Build and manage real-life data science projects with ease."
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Upvotes | 1 | 3,280 | 791 | 785 |
Avg. Rating | N/A | 4.7 | 4.6 | 4.8 |
Slogan | Build and manage real-life data science projects with ease. | 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 | Metaflow is open-source and 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 | 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 Metaflow 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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Before adopting any tool, model your total cost at expected usage, verify integration coverage and API quality, and review privacy, security, and compliance. A short pilot on a real workflow will reveal reliability and fit quickly. Bookmark this site to track updates to Metaflow and the broader ecosystem over time.
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Metaflow streamlines repetitive work with orchestrated flows and smart triggers. Teams stay focused on high-impact initiatives instead of manual follow-up. Integrations with Plugin/Integration keep work connected.
Developers get client libraries that smooth integration work.
Teams can inspect the codebase and adapt Metaflow to specific environments.
Metaflow coordinates processes across teams so automation handles repetitive tasks. Automation handles the repetitive work so teams can focus on strategy.
Workflows trigger automatically so stakeholders focus on higher-value work. Integrations with Plugin/Integration keep work connected.
