Metadata-Version: 2.1
Name: velib-spot-predictor
Version: 0.1.1
Summary: Predicting spots at Velib stations
Author: Clément Côme
Author-email: clement.come98@gmail.com
Requires-Python: >=3.9,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: boto3 (>=1.28.40,<2.0.0)
Requires-Dist: click (>=8.1.7,<9.0.0)
Requires-Dist: fastapi (>=0.103.0,<0.104.0)
Requires-Dist: numpy (>=1.25.2,<2.0.0)
Requires-Dist: pandas (>=2.1.0,<3.0.0)
Requires-Dist: pydantic (>=2.3.0,<3.0.0)
Requires-Dist: pydantic-settings (>=2.0.3,<3.0.0)
Requires-Dist: requests (>=2.31.0,<3.0.0)
Requires-Dist: scikit-learn (>=1.3.0,<2.0.0)
Requires-Dist: tqdm (>=4.66.1,<5.0.0)
Requires-Dist: uvicorn (>=0.23.2,<0.24.0)
Description-Content-Type: text/markdown

# Velib Spot Predictor

This project aims at developing an end-to-end project using Paris Open Data on velib stations in order to predict the available Velib spots.

## Getting started

## Usage

### Launching the API
```bash
uvicorn velib_spot_predictor.api:app --reload
```

## Deployment

### Docker
Image is published in clementcome/velib repository.

### PyPI
Package is published under velib-spot-predictor package.

