Advanced Python module analysis and management toolkit
Project description
Importer - Python Module Explorer
A comprehensive toolkit for advanced 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
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
Project details
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