# Building Streamlit Dashboards

> Building dashboards in Streamlit. Use when creating KPI displays, metric cards, or data-heavy layouts. Covers borders, cards, responsive layouts, and dashboard composition.

- Skill: `majiayu000/building-streamlit-dashboards` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/building-streamlit-dashboards`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/building-streamlit-dashboards/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: Apache-2.0
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/building-streamlit-dashboards

---


# Streamlit dashboards

Compose metrics, charts, and data into clean dashboard layouts.

## Cards with borders

Use `border=True` to create visual cards. Supported on `st.container`, `st.metric`, `st.columns`, and `st.form`:

```python
# Container card
with st.container(border=True):
    st.subheader("Sales Overview")
    st.line_chart(sales_data)

# Metric card
st.metric("Revenue", "$1.2M", "+12%", border=True)

# Column cards
for col in st.columns(3, border=True):
    with col:
        st.metric("Users", "1.2k")
```

## Card labels

Add context to cards with headers or bold text:

```python
# With subheader
with st.container(border=True):
    st.subheader("Monthly Trends")
    st.line_chart(data)

# With bold label
with st.container(border=True):
    st.markdown("**Top Products**")
    st.dataframe(top_products)
```

## KPI rows

Use horizontal containers for responsive metric rows:

```python
with st.container(horizontal=True):
    st.metric("Revenue", "$1.2M", "-7%", border=True)
    st.metric("Users", "762k", "+12%", border=True)
    st.metric("Orders", "1.4k", "+5%", border=True)
```

Horizontal containers wrap on smaller screens. Prefer them over `st.columns` for metric rows.

## Metrics with sparklines

Add trend context with `chart_data`:

```python
weekly_values = [700, 720, 715, 740, 762, 755, 780]

st.metric(
    "Active Users",
    "780k",
    "+3.2%",
    border=True,
    chart_data=weekly_values,
    chart_type="line",  # or "bar"
)
```

Sparklines show y-values only—use for evenly-spaced data like daily/weekly snapshots.

## Dashboard layout

Combine cards into a dashboard:

```python
# KPI row
with st.container(horizontal=True):
    st.metric("Revenue", "$1.2M", "-7%", border=True, chart_data=rev_trend, chart_type="line")
    st.metric("Users", "762k", "+12%", border=True, chart_data=user_trend, chart_type="line")
    st.metric("Orders", "1.4k", "+5%", border=True, chart_data=order_trend, chart_type="bar")

# Charts row
col1, col2 = st.columns(2)
with col1:
    with st.container(border=True):
        st.subheader("Revenue by Region")
        st.bar_chart(region_data, x="region", y="revenue")

with col2:
    with st.container(border=True):
        st.subheader("Monthly Trend")
        st.line_chart(monthly_data, x="month", y="value")

# Data table
with st.container(border=True):
    st.subheader("Recent Orders")
    st.dataframe(orders_df, hide_index=True)
```

## Sidebar filters

Put filters in the sidebar to maximize dashboard space:

```python
with st.sidebar:
    date_range = st.date_input("Date range", value=(start, end))
    region = st.multiselect("Region", regions, default=regions)

# Main area is all dashboard content
```

## Related skills

- `using-streamlit-layouts`: Columns, containers, tabs, dialogs
- `displaying-streamlit-data`: Charts, dataframes, column configuration
- `optimizing-streamlit-performance`: Caching and fragments for heavy dashboards

## References

- [st.container](https://docs.streamlit.io/develop/api-reference/layout/st.container)
- [st.metric](https://docs.streamlit.io/develop/api-reference/data/st.metric)
- [st.columns](https://docs.streamlit.io/develop/api-reference/layout/st.columns)