Welcome to TraitHorizon’s Documentation!

TraitHorizon is a Flask application designed for visualizing images alongside arbitrary numerical features. It combines a parallel coordinate plot with a data table to provide an interactive interface for exploring your data.

Key Features

• Visualize images with associated numerical features.

• Interactive parallel coordinate plots for feature exploration.

• Support for data with image URLs.

Contributing

Contributions are welcome! Feel free to fork the repository, make improvements, and submit pull requests.

License

TraitHorizon is provided under the MIT License.

Links

• Github: https://github.com/choosehappy/TraitHorizon

• Docker Hub: https://hub.docker.com/r/histotools/traithorizon

Contents:

• Installation Guide
  • Install from Docker Hub
  • Install using pip
  • Next Steps
• User Guide
  • Command Line Interface (CLI)
  • Usage Example
  • TSV File Format
  • Supported Numeric Formats
  • Building Docs Locally
  • Building the Paper PDF locally
• Unit Testing
  • Setting Up the Environment
  • Running the Tests
  • Conclusion