SCAST
SCAST is a programming tool that converts code into UML diagrams and flowcharts, supports multiple languages, and provides static analysis and visualization functions.
rating : 2.5 points
downloads : 30
What is SCAST?
SCAST is a programming tool that generates an Abstract Syntax Tree (AST) by parsing code and uses Mermaid and D3 for visualization, ultimately generating UML diagrams, AST trees, and Mermaid flowcharts.How to use SCAST?
Simply provide the folder path where the code is located. SCAST will automatically perform static analysis, generate diagrams, and return a list of keywords and function explanations. Users can view detailed diagrams through a browser.Applicable scenarios
It is suitable for developers who need to quickly understand complex code structures, especially useful in team collaboration or code review.Main features
Code static analysisParse the code and generate an Abstract Syntax Tree (AST) to help understand the code structure.
Visualization supportSupport the generation of UML diagrams, AST trees, and Mermaid flowcharts.
Keyword searchSearch for code definitions based on class names, method names, or field names in the AST tree.
Advantages and limitations
Advantages
Quickly understand the code structure
Support multiple programming languages
Easy to integrate into existing workflows
Limitations
May have slow performance for large projects
Requires a certain network environment support
How to use
Download the source code
Clone the SCAST repository to the local machine.
Install dependencies
Run npm install to install the required dependencies.
Configure the client
Edit the configuration file to add SCAST server information.
Usage examples
Case 1: Analyze codeProvide the code directory path to generate UML diagrams and keyword lists.
Case 2: Keyword searchSearch for code definitions by keywords.
Frequently Asked Questions
Which programming languages does SCAST support?
How to view the generated diagrams in the browser?
Does SCAST require an internet connection?
Related resources
Online demo
Experience SCAST functions online
GitHub repository
The source code address of SCAST
YouTube tutorial
SCAST usage tutorial video
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