Elevate your Python development experience with our cutting-edge Code Visualization Tool. Transform complex codebases into intuitive, interactive visual representations for faster comprehension and more efficient collaboration.
- Dynamic Graph Visualization: Powered by PyQt5 and pyqtgraph for smooth, responsive displays
- Intelligent Code Parsing: Utilizes Abstract Syntax Tree (AST) for accurate code analysis
- Multi-level Visualization: Seamlessly navigate between module, class, and function views
- Interactive Code Editing: Real-time code modifications with instant visual updates
- Advanced Data Flow Analysis: Gain insights into variable usage and function interactions
- Zoom and Pan Capabilities: Easily explore large, complex codebases
- Search Functionality: Quickly locate specific code elements within your project
- AI-Assisted Code Understanding: Get improvement suggestions and code summaries
- Basic Collaboration Features: Synchronize code changes across multiple users
git clone https://github.com/hemangjoshi37a/CodeScope.git
cd CodeScope
pip install -r requirements.txt-
Launch the application:
python app.py
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The application will open with a sample code loaded. You can start exploring the visualization immediately.
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To load your own Python file or project:
- Use File > Open in the application menu
- Or drag and drop a Python file into the application window
- Zoom: Use the mouse wheel or trackpad gestures
- Pan: Click and drag on the visualization area
- Select Nodes: Click on a node to see details
- Edit Code: Use the integrated code editor on the right side
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Node Types:
- Blue rectangles represent classes
- Pink circles represent methods
- Green circles represent variables
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Connections:
- Solid lines show function calls or class relationships
- Dashed lines represent data flow
- Make changes in the code editor
- The visualization updates automatically
- AI suggestions appear below the code editor
- Multiple instances of the application can connect to the same codebase
- Changes made by one user are reflected in real-time for others
- Python 3.7+
- PyQt5
- pyqtgraph
- networkx
- AST (Abstract Syntax Tree)
Our tool uses Python's ast module to parse your code into an Abstract Syntax Tree. This allows for detailed analysis of code structure, including:
- Function and class definitions
- Variable assignments and usage
- Control flow structures
The Data Flow Analyzer tracks how variables are used throughout your code:
- Identifies variable assignments and references
- Visualizes data movement between functions and classes
- Helps identify potential issues like unused variables or unintended side effects
Our basic AI assistant provides:
- Suggestions for code improvements
- Identification of potential code smells
- Simple refactoring recommendations
To use: Simply edit your code, and AI suggestions will appear automatically.
- Visualization not updating: Try closing and reopening the file
- Performance issues with large files: Consider breaking your code into smaller modules
- Collaboration features not working: Ensure all users are on the same network and using the same version of the tool
Our vision is to create a revolutionary Python code visualization tool that transforms the way developers understand and interact with codebases. Here's our roadmap to achieving this vision:
- Implement a node-based visualization system inspired by Blender's node editor
- Develop a custom rendering engine for smooth, high-performance graph display
- Create a zoomable interface with Google Maps-like functionality for exploring code at different levels of detail
- Enhance AST parsing to extract more detailed information about code structure and relationships
- Implement data flow analysis to track variable usage and value propagation across the codebase
- Develop algorithms to identify and visualize code patterns and potential optimizations
- Design and implement visual representations for different code elements (functions, classes, variables) as interactive nodes
- Create a system for visually connecting nodes to represent data flow and function calls
- Implement drag-and-drop functionality for rearranging and connecting nodes
- Develop a system for displaying different levels of code detail based on zoom level
- Implement smooth transitions between detail levels during zooming
- Create summarization algorithms to generate high-level overviews of code sections
- Integrate a code editor that allows real-time modifications to the visualized code
- Implement instant visual updates to reflect code changes in the node-based representation
- Develop a system for visualizing the impact of code changes on the overall structure and data flow
- Implement multi-user support for simultaneous visualization and editing
- Develop a system for leaving comments and annotations on specific nodes or connections
- Create visualization overlays for showing code ownership, recent changes, and areas of high activity
- Integrate machine learning models to suggest code improvements and optimizations
- Develop AI-powered code summarization for quick understanding of complex sections
- Implement predictive visualization of potential code paths and data flow based on AI analysis
- Develop visualizations for code evolution over time, integrated with Git or other version control systems
- Implement visual diff tools for comparing different versions of the code structure
- Create animations to show how code structure and data flow have changed between commits
- Implement progressive loading and rendering for handling extremely large projects
- Develop intelligent caching mechanisms for faster navigation of previously viewed code sections
- Optimize memory usage for sustained performance with complex visualizations
- Design and implement a plugin system for custom visualizations and analyses
- Develop API for integration with IDEs and other development tools
- Create a marketplace for sharing custom visualization templates and analysis modules
This roadmap represents our commitment to revolutionizing code understanding and manipulation. By following this path, we aim to create a tool that not only visualizes code but transforms the entire software development workflow, making it more intuitive, efficient, and collaborative.
We invite the community to join us on this exciting journey. Your feedback, contributions, and ideas will be crucial in shaping the future of code visualization and comprehension.
We welcome contributions to CodeScope! Here's how you can help:
- Fork the repository
- Create a new branch (
git checkout -b feature/AmazingFeature) - Make your changes
- Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.
This project is licensed under the MIT License - see the LICENSE file for details.
If you find CodeScope useful, please consider:
- Starring the repository
- Sharing it with your network
- Contributing to its development
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Q: Can CodeScope handle very large Python projects? A: While CodeScope can visualize large projects, performance may be affected. We recommend starting with individual files or smaller modules and gradually exploring larger codebases.
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Q: Is my code secure when using the collaboration features? A: CodeScope does not store or transmit your code to external servers. Collaboration happens directly between instances on the same network. However, always be cautious when sharing sensitive code.
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Q: How accurate is the AI-assisted code understanding? A: The current AI assistant provides basic suggestions. While helpful, it's not a substitute for human code review. We're continuously working to improve its accuracy and capabilities.
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Q: Can I use CodeScope with languages other than Python? A: Currently, CodeScope is designed specifically for Python. Support for other languages is on our roadmap for future development.
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Q: How often is CodeScope updated? A: We strive for regular updates to improve features and fix bugs. Check our GitHub repository for the latest releases and updates.
Transform the way you understand and interact with Python code. CodeScope is perfect for:
- Code Reviews: Quickly grasp complex structures and relationships
- Refactoring: Identify areas for improvement with ease
- Onboarding: Help new team members understand your codebase faster
- Education: Teach Python concepts with interactive visual aids
- Debugging: Trace issues through visual representation of code flow
Don't let complex codebases slow you down. Visualize, understand, and conquer your Python projects with CodeScope.
Made with ❤️ by HJLabs