streamlit
CommunityBuild interactive data apps with Python, instantly.
Authorsilvainfm
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Creating interactive web applications for data science and machine learning typically requires knowledge of HTML, CSS, and JavaScript, which can be a barrier for Python-focused data professionals. This skill enables rapid development of web apps using only Python, eliminating frontend complexity.
Core Features & Use Cases
- Python-Only Web Apps: Transform Python scripts into interactive web applications with minimal code.
- Interactive Widgets & Visualizations: Easily add sliders, buttons, file uploads, and display various charts (Matplotlib, Plotly).
- Use Case: A data scientist wants to quickly share an interactive machine learning model demo or a data exploration dashboard with non-technical stakeholders without needing a web developer.
Quick Start
To create a simple Streamlit app, first install it:
pip3 install streamlit
Then, create a file named app.py with your Streamlit code, for example:
import streamlit as st
st.title("Hello Streamlit!")
Finally, run your app:
streamlit run app.py
Dependency Matrix
Required Modules
streamlitpandasnumpymatplotlibplotly
Components
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: streamlit Download link: https://github.com/silvainfm/claude-skills/archive/main.zip#streamlit Please download this .zip file, extract it, and install it in the .claude/skills/ directory.