FAIRflow is an interactive web application built using Streamlit that allows users to visualize data streams and learn about FAIR principles.
- 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.
To run FAIRflow locally, follow these steps:
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Clone this repository:
git clone https://github.com/your-username/fairflow.git
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Navigate to the project directory:
cd fairflow
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Install the required Python packages:
pip install -r requirements.txt
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Run the Streamlit app:
streamlit run app.py
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Open your web browser and go to http://localhost:8501 to view the app.
Check out the live demo of FAIRflow at fairflow.streamlit.app.
[Add screenshots of your app here]
Contributions are welcome! Please create a new issue or submit a pull request if you have any suggestions, feature requests, or bug fixes.
This project is licensed under the MIT License - see the LICENSE file for details.