# Streamlit

> Builds interactive data apps and ML demos with Streamlit, using pure Python widgets and charts.

- Skill: `ssrjkk/streamlit` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add ssrjkk/streamlit`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ssrjkk/streamlit/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ssrjkk (https://skillmd.com/u/ssrjkk)
- Updated: 2026-08-19
- Page: https://skillmd.com/skills/ssrjkk/streamlit

---

# Streamlit
> Turn Python scripts into interactive web apps in seconds.
## Quick Start
```python
import streamlit as st
st.title('My Data App')
name = st.text_input('Enter your name')
if st.button('Say Hello'): st.write(f'Hello, {name}!')
```
## Widgets & Caching
```python
uploaded_file = st.file_uploader("Upload CSV", type=['csv'])
if uploaded_file:
    import pandas as pd; import plotly.express as px
    df = pd.read_csv(uploaded_file); st.dataframe(df)
    fig = px.histogram(df, x=st.selectbox("Column", df.columns)); st.plotly_chart(fig)
@st.cache_data
def load_data(): return pd.read_csv('large.csv')
```
## When to Use
- ML model demos; Data analysis dashboards; Internal tools; Rapid prototyping
## Validation
1. App runs with streamlit run; 2. Widgets update interactively; 3. Charts render correctly