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---
title: Inference Provider Dashboard
emoji: 📊
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
license: mit
---
# Inference Provider Dashboard
A modern web dashboard built with FastAPI that compares monthly requests between different AI inference providers by scraping data from their HuggingFace profiles.
## Features
- **Real-time Data**: Scrapes monthly request statistics from HuggingFace profiles
- **Beautiful UI**: Modern, responsive dashboard with charts and tables
- **API Endpoints**: RESTful API for accessing provider data programmatically
- **Auto-refresh**: Dashboard automatically updates every 5 minutes
- **Async Performance**: Uses async/await for efficient concurrent data fetching
## Screenshots
The dashboard includes:
- Statistics cards showing total providers, total requests, and top provider
- Interactive bar chart comparing monthly requests
- Detailed table with provider information and links to HuggingFace profiles
## Installation
1. **Clone or navigate to the project directory**
2. **Install dependencies**:
```bash
pip install -r requirements.txt
```
## Usage
1. **Start the FastAPI server**:
```bash
python app.py
```
Or using uvicorn directly:
```bash
uvicorn app:app --host 0.0.0.0 --port 8000 --reload
```
2. **Open your browser and navigate to**:
```
http://localhost:8000
```
3. **API Endpoints**:
- `GET /` - Dashboard web interface
- `GET /api/providers` - Get all providers data
- `GET /api/providers/{provider}` - Get specific provider data
## API Examples
**Get all providers data**:
```bash
curl http://localhost:8000/api/providers
```
**Get specific provider data**:
```bash
curl http://localhost:8000/api/providers/togethercomputer
```
## Configuration
To add more providers, edit the `PROVIDERS` list in `app.py`:
```python
PROVIDERS = [
"togethercomputer",
"fireworks-ai",
"your-new-provider",
]
```
## Project Structure
```
inference_provider_dashboard/
├── app.py # FastAPI application
├── templates/
│ └── dashboard.html # Web dashboard template
├── requirements.txt # Python dependencies
└── README.md # This file
```
## Dependencies
- **FastAPI**: Modern web framework for building APIs
- **Uvicorn**: ASGI server for running FastAPI
- **Jinja2**: Template engine for HTML rendering
- **aiohttp**: Async HTTP client for concurrent requests
- **BeautifulSoup4**: HTML parsing for web scraping
- **Requests**: HTTP library (fallback)
## Development
The application uses:
- Async/await for concurrent HTTP requests
- Chart.js for interactive visualizations
- Modern CSS with gradients and animations
- Responsive design for mobile devices
## License
MIT License |