garethcmurphy / streamlit_test

FAIRflow

FAIRflow is an interactive web application built using Streamlit that allows users to visualize data streams and learn about FAIR principles.

Features

• Data Stream Plot: View a real-time plot of a generated data stream.
• FAIR Principles: Learn about FAIR principles, which promote Findability, Accessibility, Interoperability, and Reusability of data.

Getting Started

To run FAIRflow locally, follow these steps:

1. Clone this repository:

   git clone https://github.com/your-username/fairflow.git

2. Navigate to the project directory:

   cd fairflow

3. Install the required Python packages:

   pip install -r requirements.txt

4. Run the Streamlit app:

   streamlit run app.py

5. Open your web browser and go to http://localhost:8501 to view the app.

Live Demo

Check out the live demo of FAIRflow at fairflow.streamlit.app.

Screenshots

[Add screenshots of your app here]

Contributing

Contributions are welcome! Please create a new issue or submit a pull request if you have any suggestions, feature requests, or bug fixes.

License

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