streamlit-swipecards 0.4.0

Streamlit Swipecards allow you to add interactive swipeable cards to your app. Supports both image cards and table row swiping with cell highlighting.

🃏 Streamlit Swipe Cards

A modern, interactive card-swiping component for Streamlit applications. Build interfaces with smooth animations for both image cards and data table rows.

✨ Features

• Stacked Card Interface: Card stacking with smooth animations
• Dual Display Modes: Support for both image cards and interactive data tables
• Touch & Mouse Support: Works seamlessly on desktop and mobile devices
• Responsive Views: Choose mobile or desktop layouts for card width
• Interactive Actions: Like ✔️, pass ❌, and undo ↶ functionality
• Advanced Table Features: Cell, row, and column highlighting with AG-Grid integration
• Performance Optimized: Automatic dataset caching for improved loading times
• Return Values: Get detailed feedback on user interactions and swipe patterns

📦 Installation

pip install streamlit-swipecards

🚀 Quick Start

import streamlit as st
from streamlit_swipecards import streamlit_swipecards

st.title("My Swipe App")

# Image cards example
cards = [
    {
        "name": "Alice",
        "description": "Loves hiking and photography",
        "image": "https://images.unsplash.com/photo-1544005313-94ddf0286df2?w=400"
    },
    {
        "name": "Bob", 
        "description": "Chef and food enthusiast",
        "image": "https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?w=400"
    }
]

result = streamlit_swipecards(
    cards=cards,
    display_mode="cards",
    show_border=False,
    view="desktop",
    last_card_message="This is the last page. You can add your own text here",
    key="my_swipe_cards"
)

if result:
    st.json(result)

📋 API Reference

streamlit_swipecards()

Parameter	Type	Description
cards	list[dict]	List of card dictionaries (image or table cards)
display_mode	str	Display mode: "cards" or "table"
dataset_path	str | None	Legacy single-dataset mode (deprecated)
highlight_cells	list[dict] | None	Cell highlighting configuration
highlight_rows	list[dict] | None	Row highlighting configuration
highlight_columns	list[dict] | None	Column highlighting configuration
center_table_row	int | None	Row to center in table view
center_table_column	str | None	Column to center in table view
view	str	Layout: "mobile" (default) or "desktop" for wider cards
show_border	bool	Show border around cards (default True)
table_font_size	int	Table font size in px (default 14)
table_max_rows	int | None	Max rows to render per table card (visual trim)
table_max_columns	int | None	Max columns to render per table card (visual trim)
last_card_message	str | None	Message shown after all cards are swiped
key	str | None	Unique component key
\
Note: The component now always follows the active Streamlit theme for button colors and default table highlights. Legacy parameters use_theme_highlight and use_theme_buttons are deprecated and ignored.

Returns: dict | None - Interaction data including swiped cards, last action, and statistics

🎨 Card Types

🖼️ Image Cards

• Custom Styling: Flexible card layouts with names, descriptions, and images
• Smooth Animations: Swipe gestures and visual feedback

{
    "name": "Alice Johnson",              # required
    "description": "Software Engineer",   # required  
    "image": "https://example.com/alice.jpg",  # required - URL or base64
    "pills": ["Python", "React", "AI"]   # optional - skill tags
}

📊 Table Cards

• Data Row Swiping: Transform spreadsheet rows into swipeable cards
• Smart Highlighting: Emphasize specific cells, rows, or columns
• Automatic Centering: Center on important data points

{
    "dataset_path": "employees.csv",      # required - path to CSV/Excel
    "row_index": 0,                       # required - row to display
    "name": "Alice Johnson",              # optional - card title
    "description": "Engineering Team",    # optional - card subtitle
    "pills": ["Senior", "Remote"],        # optional - status tags
    "highlight_cells": [                  # optional - cell highlighting
        {"row": 0, "column": "Salary"}
    ],
    "highlight_rows": [                   # optional - row highlighting
        {"row": 0}
    ],
    "highlight_columns": [                # optional - column highlighting
        {"column": "Performance"}
    ],
    "center_table_row": 0,                # optional - center row
    "center_table_column": "Salary"       # optional - center column
}

🚦 Return Values

The component returns detailed interaction data:

{
    "swipedCards": [
        {"index": 0, "action": "right"},   # Liked first card
        {"index": 1, "action": "left"}     # Passed second card
    ],
    "lastAction": {
        "cardIndex": 1, 
        "action": "left"
    },
    "totalSwiped": 2,      # Total cards swiped
    "remainingCards": 8    # Cards left in stack
}

🎨 Theme Integration

• Buttons and default table highlights adapt automatically to the active Streamlit theme.
• No flags required: the component derives colors from your app theme (or defaults if none is set).
• Adjust table readability with table_font_size (px); optionally trim rendered data with table_max_rows and table_max_columns for smaller layouts.

🚀 Example App

A comprehensive example showcasing all features is provided in example.py:

streamlit run example.py

🛠️ Development

Local Development

# Clone the repository
git clone https://github.com/julianpaulussen/streamlit-swipecards.git
cd streamlit-swipecards

# Install dependencies
pip install -r requirements.txt

# Run the example
streamlit run example.py

Building

# Build the package
python setup.py sdist bdist_wheel

# Install locally for testing
pip install -e .

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Email: [e-mail]