InfoBlueprint Data Profiling Tool

Overview

InfoBlueprint is a powerful data profiling tool that helps you analyze and understand your datasets through an interactive web interface. Built with Streamlit, it provides comprehensive insights into your data structure, quality, and patterns.

Features

• Interactive data exploration
• Automated data profiling and statistics
• Pattern recognition
• Visualization capabilities
• Support for multiple data sources

System Requirements

Prerequisites

• Python 3.8 or higher
• uv package manager

Installation

1. Install uv Package Manager

Mac/Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

2. Setup Project Environment

# Clone the repository
git clone https://github.com/yourusername/infoblueprint.git
cd infoblueprint

# Initialize virtual environment and install dependencies
uv init
uv add -r requirements.txt

3. Activate Virtual Environment

Mac/Linux:

source .venv/bin/activate

Windows:

.venv\Scripts\activate

4. Launch Application

streamlit run 01_connector.py

Usage

1. Open your web browser and navigate to http://localhost:8501
2. Upload your dataset through the web interface
3. Configure profiling parameters
4. Explore the generated insights and visualizations

Troubleshooting

Common Issues

1. Installation Fails

   • Ensure Python version compatibility
   • Check system requirements
   • Verify internet connection

2. Application Won't Start

   • Confirm virtual environment is activated
   • Check port 8501 availability
   • Verify dependencies installation

3. Memory Issues

   • Increase available RAM
   • Reduce dataset size