Interactive Data Exploration Framework (IDEF)

A Python framework for interactive exploration of multi-dimensional scientific datasets.

Overview

The Interactive Data Exploration Framework (IDEF) enables researchers to interactively explore, visualize, and analyze complex multi-dimensional scientific datasets. The framework provides both programmatic and graphical interfaces for maximum flexibility.

Features

• Multi-format Data Support: Import data from common scientific formats (CSV, HDF5, NetCDF, etc.)
• Multi-dimensional Visualization: Support for visualizing data with 3+ dimensions through various techniques
• Interactive Elements: Zooming, panning, brushing, dynamic filtering, and linked views
• Statistical Analysis: Basic statistical functions integrated directly into the visualization workflow
• Extensible Architecture: Plugin system for custom visualizations, data connectors, and analysis methods
• Dual Interfaces: Web-based GUI and programmatic Python API

Installation

# Clone the repository
git clone https://github.com/username/idef.git
cd idef

# Install the package
pip install -e .

Quick Start

Programmatic API

from idef.ui.api import load_data, visualize, show

# Load a dataset
dataset = load_data("path/to/data.nc")

# Create a visualization
viz = visualize(dataset, "scatter", x="temperature", y="pressure")

# Show the visualization
show(viz)

Web Dashboard

from idef.ui.api import dashboard

# Launch the interactive dashboard
dashboard()

Documentation

• User Guide
• Installation Guide
• API Reference
• Examples

License

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