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Streamlit

The fastest way to build and share ML and AI data apps in Python

4.6
★★★★★
AgDex Score
Pricing
Free (OSS); Community Cloud free; Workspace from $250/mo
License
Apache 2.0
Category
tools
Source

What is Streamlit?

Streamlit turns Python scripts into shareable web apps with minimal code. It's the go-to tool for ML engineers and data scientists to demo models, build internal tools, and prototype AI applications — no front-end experience required.

Our Review

Streamlit remains the fastest path from Python ML code to a shareable web app. The chat primitives added in recent versions make it genuinely good for LLM demos. Its "rerun everything" model is a limitation for complex apps, but for 90% of ML demos and internal tools, it's the right tool.

Key Features

  • AI/LLM demo apps and prototypes
  • Internal ML model dashboards
  • Data exploration and visualization tools
  • Chatbot front-ends for LLM apps

Pros & Cons

✅ Pros

  • Build a web app from a Python script in minutes
  • 36k+ GitHub stars — massive community
  • Rich widget library (chat, file upload, data tables)
  • st.chat_message for LLM chatbot UIs
  • One-click deploy to Streamlit Community Cloud

❌ Cons

  • Reruns entire script on every interaction (can be slow)
  • Not ideal for complex state management
  • Limited customization without custom components

Pricing

Free (OSS); Community Cloud free; Workspace from $250/mo

Who Should Use Streamlit?

Streamlit is best suited for ai/llm demo apps and prototypes, internal ml model dashboards.

Quick Info

Pricing
Free (OSS); Community Cloud free; Workspace from $250/mo
License
Apache 2.0
Category
tools

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