designing-real-world-ai-agents-workshop: Skill for Claude Code

Streamlit custom components

Extend Streamlit with third-party custom components from the community.

What are custom components?

Custom components are standalone Python libraries that add features not in Streamlit's core API. They're built by the community and can be installed like any Python package.

Installation

Install using the PyPI package name (not the repo name—they can differ):

uv add <pypi-package-name>

Then import according to the component's documentation. The import name often differs from the package name too.

Use with caution

Components are not maintained by Streamlit. Before adopting:

• Check maintenance - Is it actively maintained? Recent commits?
• Check compatibility - Does it work with your Streamlit version?
• Check popularity - GitHub stars, downloads, community usage
• Consider alternatives - Can you achieve this with core Streamlit?

Custom components can break when Streamlit updates, so prefer core features when possible.

Popular custom components

streamlit-keyup

Text input that fires on every keystroke instead of waiting for enter/blur. Useful for live search.

• Repo: https://github.com/blackary/streamlit-keyup
• Docs: https://pypi.org/project/streamlit-keyup/

uv add streamlit-keyup

from st_keyup import st_keyup

query = st_keyup("Search", debounce=300)  # 300ms debounce
filtered = df[df["name"].str.contains(query, case=False)]
st.dataframe(filtered)

streamlit-bokeh

Official replacement for st.bokeh_chart (removed from Streamlit API). Maintained by Streamlit.

• Repo: https://github.com/streamlit/streamlit-bokeh
• Docs: https://pypi.org/project/streamlit-bokeh/

uv add streamlit-bokeh

from bokeh.plotting import figure
from streamlit_bokeh import streamlit_bokeh

p = figure(title="Simple Line", x_axis_label="x", y_axis_label="y")
p.line([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], line_width=2)
streamlit_bokeh(p)

streamlit-aggrid