data-science-interactive-apps
Interactive Web Apps
Use this skill for building lightweight web interfaces to ML models, data visualizations, and analytical tools.
When to use this skill
- ML model demos — let stakeholders interact with predictions
- Data exploration tools — filter, visualize, drill down
- Internal dashboards — monitoring, reporting, self-service analytics
- Prototyping — validate UX before full engineering investment
- A/B test interfaces — experiment with different presentations
Tool selection guide
| Tool | Best For | Strengths |
|---|---|---|
| Streamlit | Rapid ML demos, data apps | Simplest API, large community, great for Python devs |
| Panel | Complex dashboards, reactive layouts | Jupyter integration, flexible layout, HoloViz ecosystem |
| Gradio | ML model sharing, Hugging Face | Built-in sharing, model introspection, API generation |
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