Vivaldi

Comparison of Seasonal Data for the Swiss NBCN Weather Station Binningen, Switzerland

Vivaldi is a data analysis tool designed to extract and compare seasonal weather data from the NSBN weather station in Binningen, Switzerland. The application retrieves daily weather data from the open data portal data.bs and allows users to analyze seasonal trends, which is why it’s aptly named after the famous composer known for "The Four Seasons."

You can try out the application online here or install it locally by following the instructions below.

Features

Data Extraction: Automatically retrieves daily weather data from data.bs.
Seasonal Analysis: Analyze and compare weather data across different seasons.
User-Friendly Interface: Intuitive and easy-to-use interface built with Streamlit.
Visualization: Graphical representation of seasonal trends and comparisons.

Installation

On Unix/Linux:

git clone https://github.com/lcalmbach/vivaldi.git
cd vivaldi
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

On Windows:

git clone https://github.com/lcalmbach/vivaldi.git
cd vivaldi
python -m venv .venv
.\.venv\Scripts\activate
pip install -r requirements.txt

Running the Application

After installing the dependencies, you can run the application locally with the following command:

streamlit run app.py

This will start a local server, and you can access the application by navigating to http://localhost:8501 in your web browser.

Contributing

Contributions are welcome! If you find any bugs or have suggestions for improvements, please open an issue or submit a pull request.

How to Contribute:

Fork the repository.
Create a new branch (git checkout -b feature-branch).
Make your changes.
Commit your changes (git commit -m 'Add some feature').
Push to the branch (git push origin feature-branch).
Open a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.