Github Visualize
Github Visualize is a free online tool that generates interactive visualizations from GitHub repositories to understand codebases better. It scans repositories and builds interactive maps of the code structure.
visualization
github
code-structure
Github Visualize: Interactive Visualization Tool
A free online tool to generate interactive visualizations from GitHub repositories, understanding codebases better by scanning and building interactive maps of the code structure.
What is Github Visualize?
Github Visualize is a free online service that helps developers visualize and navigate code in GitHub repositories. It scans through codebases and generates interactive maps of the files, folders, classes, functions and more to provide visual overviews of large and complex codebases.
Some key features of Github Visualize:
- It creates visual dependency graphs and tree maps to show the structure and relationships in code.
- The interactive graphs make it easy to explore code and trace connections between different parts.
- It supports many languages like JavaScript, Python, Java, PHP, Ruby and more.
- The visualization includes metrics like file sizes, complexity scores to identify areas to optimize.
- It's completely free to use and works with both public and private GitHub repos.
- The visualized maps can be shared or embedded for collaboration.
By providing a high-level visual representation of code, Github Visualize makes it easier for developers to onboard onto new projects, conduct code reviews, analyze dependencies, and clean up technical debt in legacy systems.
Github Visualize Features
Features
- Generates interactive visualizations from GitHub repositories
- Builds interactive maps of the code structure
- Helps understand codebases better
- Scans repositories to analyze the code structure
Pricing
- Free
Pros
Free to use
Easy to understand and use
Provides valuable insights into the codebase
Supports a wide range of programming languages
Cons
Limited to GitHub repositories
May not provide detailed analysis for large or complex codebases
Relies on the accuracy of the GitHub repository data
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