Build a Leaderboard with Streamlit
A leaderboard with rankings, scores, avatars, and filtering. Using Streamlit's Streamlit data apps with interactive widgets and charts, LoomCode AI generates a production-ready leaderboard with clean code structure, proper state management, and a polished user interface — all from a single text description in seconds. No prior coding experience required.
Build This App NowHow to Build a Leaderboard with Streamlit
Select Streamlit
Open LoomCode AI and choose the Streamlit template from the template picker.
Describe your app
Type a description of your leaderboard and click submit.
Preview & deploy
Watch the AI generate code and preview your working app live. Deploy with one click.
Why Build a Leaderboard with Streamlit
While unconventional for games, Streamlit can power a leaderboard with interactive state, session tracking, and real-time updates through its reactive programming model.
What the AI Generates for This Leaderboard
- Interactive Streamlit widgets for user input and filtering
- Data processing with Pandas, NumPy, Plotly
- Auto-generated charts and visualizations
- File upload support for CSV/Excel data
- Smooth animations and keyboard/touch input handling
- Score tracking, game-over states, and restart functionality
Example Prompt
Copy this prompt and paste it into LoomCode AI:
What You Get
LoomCode AI generates a playable leaderboard with game controls, scoring, and state management. The game handles user input, tracks progress, and includes start/restart flows with score display. The output is properly structured Streamlit code using Streamlit, Pandas, NumPy, Plotly with data processing pipelines, interactive widgets, and visualization libraries. The app runs immediately in a live sandbox — interact with it, test every feature, then iterate with follow-up prompts or deploy to a shareable URL.
Tips for Better Results
- Describe the game mechanics explicitly: "arrow keys to move, spacebar to jump, collect coins for points" gives the AI clear interaction patterns
- Ask for game states: "start screen, playing, game over with score and restart button" so the AI builds the full game loop
- Request specific animation types — "smooth character movement" or "particle effects on collision" — for better visual output
- Upload a sample CSV or describe your data schema in the prompt for more accurate data handling
Tech Stack
FAQ
Can AI build a Leaderboard with Streamlit?
Yes. LoomCode AI generates a complete leaderboard with Streamlit, Pandas, NumPy, Plotly from a text description. The AI understands game state management, animations, keyboard/touch input, and scoring and produces working code that runs immediately in a live sandbox. Streamlit's built-in widgets and Python data libraries handle game state management, animations, keyboard/touch input, and scoring with interactive controls and visualizations. You can iterate with follow-up prompts to refine features or deploy with one click.
How long does it take to build a Leaderboard with AI?
A working leaderboard typically generates in 30-60 seconds. The initial version includes game state management, animations, keyboard/touch input, and scoring with a polished UI. From there, you can add features incrementally — each follow-up prompt takes another 15-30 seconds. Most users go from idea to a deployable leaderboard in under 10 minutes, compared to hours or days of manual development.
Can I customize the generated Leaderboard?
Yes, in two ways. First, use natural language follow-up prompts: "add dark mode", "change the layout to tabs", or "add a search filter" — the AI modifies the existing code. Second, copy the full source code and edit it directly. The output is standard Streamlit code using Streamlit and Pandas that works in any Python environment.
Which AI model works best for a Leaderboard?
For a leaderboard, GPT-4o is fast for interactive UI-heavy apps. Claude 3.5 Sonnet produces the cleanest component architecture for complex interactions. DeepSeek V3 is a cost-effective alternative for simpler versions. You can switch models anytime.
Is the generated leaderboard production-ready?
For prototypes and MVPs, the generated leaderboard is typically ready to use immediately. The code includes data validation, error handling, and interactive widgets. For production deployment at scale, you may want to add automated tests, error boundaries, and monitoring.
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