Vadalog Jupyter Kernel

A Jupyter kernel for executing Vadalog knowledge graph queries in JupyterLab.

Installation

pip install vadalog-jupyter-kernel

Usage

1. Start JupyterLab:

   jupyter lab
   

2. Create a new notebook and select the Vadalog kernel

3. Write Vadalog code:

   @input("person").
   person("Alice").
   person("Bob").
   
   @output("greeting").
   greeting(X, "Hello") :- person(X).
   

4. Run the cell and see the results!

Features

• ✅ Execute Vadalog queries
• ✅ Display results as formatted HTML tables
• ✅ Execution timing
• ✅ Error handling and reporting
• ✅ Works with vadalog-extension for enhanced UI

Requirements

• Python >= 3.8
• JupyterLab >= 4.0.0
• Vadalog backend server (contact support for access)

Recommended

Install with the JupyterLab extension for the best experience:

pip install vadalog-jupyter-kernel vadalog-extension

This gives you:

• 🎨 Syntax highlighting
• 🔍 Code linting
• 🛑 Stop button integration
• 📊 Beautiful output formatting
• ⏱️ Execution timing

Access to Vadalog Backend

The Vadalog backend is required to execute queries. To request access:

• 📧 Email: davben@prometheux.co.uk or support@prometheux.co.uk
• 🌐 Website: https://www.prometheux.ai

License

BSD 3-Clause License - see LICENSE file for details.

About Vadalog

Vadalog is a powerful knowledge graph system developed by Prometheux Limited.

Support

• Homepage: https://www.prometheux.ai
• PyPI: https://pypi.org/project/vadalog-jupyter-kernel/
• Email: davben@prometheux.co.uk or support@prometheux.co.uk