Head-to-Head Comparison
Gradio vs Streamlit
Compare features, pricing, integrations, and community reviews
Gradio
AI ToolsGradio is an open-source Python library designed for building and sharing web interfaces for machine learning models and AI demos. It enables users to quickly create customizable UI components, making models accessible as interactive web applications for rapid prototyping and sharing. The library is optimized for developing interactive UIs for ML models with minimal code. It excels in creating interfaces for tasks such as image, audio, and text generation, and includes native chatbot interface capabilities, allowing developers to deploy and share their models efficiently.
Streamlit
AI ToolsStreamlit is an open-source Python library designed for data scientists and developers. It enables the creation of interactive web applications for data science and machine learning using pure Python. Users can transform Python scripts into shareable web applications, often for data visualization or ML model interfaces. The platform supports local development and offers Streamlit Community Cloud for optimized deployment of data dashboards and analytical tools, including direct deployment from GitHub repositories. It also fosters a community through forums, creator programs, and advocacy initiatives.
Pricing
Community Verdict
Gradio
No reviews yet
Streamlit
No reviews yet
At a Glance
Gradio
Pricing
free
Key Features
Gradio has accumulated over 43,061 GitHub stars, indicating significant community adoption. · The library has undergone continuous development, with major releases including Gradio 4.0 (October 2023), Gradio 5.0 (October 2024) with security audits, and Gradio 6.0 (November 2025) introducing a unified event-driven architecture. · Gradio 6.7 (February 2026) addressed a critical absolute path traversal vulnerability (CVE-2026-28414) affecting Windows with Python 3.13+.
Streamlit
Pricing
freemium
Key Features
Offers a free tier for public applications via Streamlit Community Cloud. · Provides an API for building interactive web applications using pure Python. · Supports direct deployment from GitHub repositories.
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