Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://github.com/cedanl/streamlit-app-template below:

GitHub - cedanl/streamlit-app-template: ✅ [TEMPLATE]

Note

Quick Start: → Clone Locally → → Run uv run streamlit run src/main.py

The CEDA Streamlit App Template helps researchers and data scientists quickly build interactive web applications for data analysis and visualization. Perfect for creating:

• Data analysis dashboards
• Interactive visualizations
• Machine learning demos
• Research presentation tools

• Ready-to-Use Structure: Pre-organized folders and files for instant development
• User-Friendly Interface: Streamlit-based UI requiring no web development knowledge
• Easy Page Creation: Add new pages with just a few lines of code
• Professional Layout: Clean, organized project structure
• uv Powered Setup: One-click installation that handles Python and dependencies automatically

Warning

Do not skip these steps if this is your first time using this template. It will not work without them.

Tip

Save the repository in a Projects/CEDA folder on your main drive for quick access.

1. Click the green "Use this template" button on GitHub
2. Name your new app repository
3. Choose Public or Private
4. Click "Create repository"

After downloading, extract the ZIP file and navigate into the folder.

curl -LsSf https://astral.sh/uv/install.sh | sh

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Close and reopen your terminal after installation.

Ready to see your app come to life? It's just one command away! ✨

Open a terminal in your app folder - it's super easy!

• Windows: Shift + Right-click in folder → Open in Windows Terminal
• Mac: Right-click folder → New Terminal at Folder
• VS Code: Just click Terminal → New Terminal

Or navigate there:

cd path/to/your-app-folder

uv run streamlit run src/main.py

That's it! Your app will automatically open in your browser. If you've completed the setup correctly, this is the only command you'll need going forward. 🎉

1. Create a new .py file in the src/frontend/ folder
2. Add your page to the navigation in src/main.py
3. Your page appears automatically in the sidebar!

import streamlit as st

def show():
    st.title("My New Page")
    st.write("Hello, world!")
    
    # Add your content here
    user_input = st.text_input("Enter something:")
    if user_input:
        st.success(f"You entered: {user_input}")

• Data Upload & Analysis: Let users upload CSV files and see instant insights
• Interactive Charts: Build dynamic visualizations that respond to user input
• Machine Learning Demos: Create interfaces for ML models and predictions
• Research Dashboards: Display your research findings in an interactive format

If you find this template helpful, please consider:

• ⭐ Starring the repo
• 🐛 Reporting bugs
• 💡 Suggesting improvements
• 💻 Contributing code

Need help? Feel free to open an issue or contact us at a.sewnandan@hhs.nl

Thank you to all the people who have contributed to this template.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4