# Importer - Python Module Explorer

A comprehensive toolkit for Python module analysis, management, and runtime manipulation.

## Overview

Importer provides a complete suite of tools for working with Python modules at runtime. It enables deep inspection, dynamic modification, dependency analysis, and performance monitoring of any Python module or package.

## Key Features

### Module Analysis
- Source code analysis using AST parsing
- Function and class signature extraction  
- Import statement analysis
- Metadata and dependency inspection
- Code structure visualization

### Runtime Management
- Dynamic module modification and injection
- Feature toggling and disabling
- Lazy loading and import optimization
- Module backup and restoration
- Version management

### Performance Monitoring
- Call tracing and execution profiling
- Memory usage tracking
- Performance bottleneck detection
- Real-time monitoring capabilities

### Dependency Management
- Dependency tree visualization
- Version conflict detection
- Package metadata analysis
- Cross-format export (JSON, YAML, Graphviz)

## Installation

```bash
pip install importer-explorer

# information 

Use Cases

· Debugging: Trace execution and find bottlenecks
· Dependency Management: Analyze and visualize package dependencies
· Code Analysis: Understand third-party library structure
· Runtime Modification: Dynamically patch and extend modules
· Performance Optimization: Identify slow functions and memory issues
· Educational: Learn how Python modules work internally

Documentation

Full documentation is available at GitHub Repository

Contributing

Contributions are welcome! Please feel free to submit pull requests or open issues on GitHub.

License

MIT License - see LICENSE file for details.

Author

Momen Waleed
GitHub: mikl37228-spec
