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About
Streamlit is an open-source Python library that lets data scientists and engineers turn Python scripts into shareable web apps with minimal code. There is no need to write HTML, CSS, or JavaScript — widgets are declared as Python variables and the app re-runs on each interaction.
Streamlit is widely used for building ML model demos, internal dashboards, data exploration tools, and LLM-powered chat interfaces. It ships with built-in chart components (matplotlib, plotly, altair, vega-lite), a file uploader, data tables, forms, and caching decorators for performance. Multi-page apps and custom components via the components API extend its capabilities.
Apps can be deployed for free on Streamlit Community Cloud (public repos) with GitHub login, or hosted on enterprise infrastructure via the Snowflake integration. The library is open-source under Apache 2.0.
Key Features
- Build interactive web apps with pure Python — no HTML/CSS/JS required
- Rich widget library: sliders, buttons, selectboxes, file uploaders, forms
- Built-in chart support: Plotly, Matplotlib, Altair, Vega-Lite, native charts
- Hot-reload development — changes reflect instantly during development
- Caching decorators (@st.cache_data, @st.cache_resource) for performance
- Multi-page app support with sidebar navigation
- Free public deployment via Streamlit Community Cloud
- Custom components API for embedding third-party JavaScript widgets
Pros
- Extremely fast prototyping — functional apps in tens of lines of Python
- No frontend knowledge required; ideal for data scientists
- Free Community Cloud hosting for public apps linked to GitHub
- Excellent for ML/AI demos, LLM chat UIs, and internal dashboards
- Large, active community with many third-party components
- Frequent releases with new features (v1.55 in March 2026)
Cons
- Entire script re-runs on each widget interaction — can be slow for complex apps
- Limited layout and styling control compared to full web frameworks
- Not suitable for high-traffic production apps or complex state management
- Community Cloud free tier requires public GitHub repo (private apps need enterprise)
- Poor support for multi-user sessions and real-time collaboration
Pricing
Freemium- · Unlimited public app deployments
- · Requires public GitHub repository
- · GitHub login required
- · Shared compute resources
- · Deploy apps inside Snowflake (Streamlit in Snowflake)
- · Enterprise-grade security and governance
- · Private apps with access control
- · Direct access to Snowflake data — no data movement
Possible Stacks
Data Science Starter
ProjectEverything a beginner data scientist needs: Python + pandas for analysis, Streamlit for interactive apps, and PostgreSQL for structured data storage.
Streamlit Data App
ProjectInteractive data application built entirely in Python with Streamlit and Pandas — no frontend skills needed.
Related Tools
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