AI Streamlit App Builder
Generate interactive Streamlit data apps from natural language. LoomCode AI creates dashboards, data explorers, and ML tools with Pandas, NumPy, and Plotly — no coding required.
Build a Streamlit App NowHow to Build a Streamlit App
Three steps from idea to working Streamlit application.
Select Streamlit
Open LoomCode AI and choose the Streamlit template from the template picker. This configures the sandbox with interactive widgets and controls and the right runtime environment.
Describe your app
Type what you want to build in plain English. Be specific — include layout, features, and styling preferences. The AI understands Streamlit patterns and generates idiomatic code.
Preview, iterate & deploy
Your app runs live in a secure sandbox. Test it, send follow-up prompts to refine features, then deploy with a shareable URL or copy the source code.
Features
- Interactive widgets and controls
- Pandas and NumPy for data processing
- Plotly and Matplotlib charts
- Automatic hot reloading
- Live data app preview
Use Cases
- Data dashboards
- ML model demos
- Data exploration tools
- Report generators
- Internal analytics tools
Try These Prompts
Copy any prompt below and paste it into LoomCode AI to generate a working Streamlit app.
What the AI Generates
When you describe a Streamlit app, LoomCode AI produces a complete, runnable project — not just a snippet. Here is what you get:
Complete Source Code
Full Streamlit project with proper file structure, imports, and interactive widgets and controls. The code follows idiomatic Streamlit patterns that you can extend or integrate into your own projects.
Live Running App
The generated code executes immediately in a secure E2B sandbox. You see a live, interactive preview — not a static screenshot. Click buttons, fill forms, and test the real app.
Iterative Refinement
Not quite right? Send a follow-up prompt like "add dark mode" or "make the sidebar collapsible" and the AI modifies the existing code. Each iteration builds on the previous version.
Deploy & Share
One click deploys your Streamlit app to a shareable URL. Send it to clients, teammates, or stakeholders. Copy the source code to your own project when you are ready to go further.
Frequently Asked Questions
How do I build a Streamlit app with AI?
Simply describe your Streamlit app idea in plain English, select the Streamlit template (or use "Auto"), and click submit. LoomCode AI generates working code and runs it in a secure sandbox with live preview — no coding required.
What Streamlit features are supported?
LoomCode AI supports Interactive widgets and controls, Pandas and NumPy for data processing, Plotly and Matplotlib charts, Automatic hot reloading, Live data app preview. All code runs in a secure E2B sandbox with live preview and optional deployment.
Is the AI Streamlit builder free?
Yes! LoomCode AI is open-source and free to use. Generate Streamlit apps, preview them live, and deploy with a shareable URL.
Which AI models can generate Streamlit code?
LoomCode AI supports 10+ AI model providers including OpenAI GPT-4o, Anthropic Claude, Google Gemini, Mistral, DeepSeek, Groq, and more. You can choose the model that works best for your Streamlit project.
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