Scast: Curate & Create Premium Podcast Experiences

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4.8(154 reviews)

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Ranked in the top 7% of all AI tools in its category

About Scast

What is Scast: Curate & Create Premium Podcast Experiences?

Scast is a cutting-edge tool designed to transform code into intuitive visual representations through UML diagrams and flowcharts. By leveraging static analysis and AST parsing, it bridges the gap between raw code and actionable insights, making complex logic accessible to developers and non-technical stakeholders alike.

How to Use Scast: Curate & Create Premium Podcast Experiences?

Visit the online platform or clone the repository via git clone https://github.com/davidkingzyb/SCAST.git.
Configure your workspace by setting up MCP servers with the provided JSON snippet, ensuring directories are properly authorized.
Select your preferred visualization format (e.g., Mermaid, D3 force-directed graphs) and analyze your codebase in real-time.

Scast Features

Key Features of Scast: Curate & Create Premium Podcast Experiences?

Language Agnostic: Supports JavaScript, TypeScript, C#, Python, and Vue.js (with upcoming updates).
AST-Powered Analysis: Parses code into ESTree-compliant structures for precise visualization.
Dynamic Visualizations: Choose from 7+ D3 graph types including radial clusters, force-directed layouts, and edge bundling.
AI Integration: Works seamlessly with Ollama for enhanced code interpretation and automation.

Use Cases of Scast: Curate & Create Premium Podcast Experiences?

From accelerating onboarding by visualizing legacy systems to simplifying API documentation, Scast excels in:

Codebase exploration during debugging or refactoring
Teaching programming concepts through interactive diagrams
Generating automated documentation for team collaboration
Identifying architectural patterns in large-scale projects

Scast FAQ

FAQ from Scast: Curate & Create Premium Podcast Experiences?

Is Scast free to use?

Yes, the core tool is open-source. Advanced features like Ollama integration require local setup.

Can I contribute to parser development?

Absolutely! Check our GitHub repo for contribution guidelines and upcoming parser roadmaps.

Does it work offline?

Yes, after initial installation. The MCP server allows local execution without internet dependency.

Content

🔱SCAST

Static Code Analysis and Visualization

2024/9/27 by DKZ

English/中文

🔱SCAST is a programmatic tool that converts code into UML diagrams and flowcharts.

📽️watch video 📽️Tutorial

support plan

javascript (use acorn)
typescript (use typescript for now estree later)
csharp (use a custom parser no longer supported in future)
python (ues a custom parser use filbert later)
vue (later)

The underlying principle involves leveraging a parser to parse the code into an Abstract Syntax Tree (AST), followed by static analysis, and finally utilizing Mermaid and D3 for visualization.

You can try it online or just download this repo and open SCAST.html with browser.

scast_uml

Update

MCP

git clone https://github.com/davidkingzyb/SCAST.git download the source code.
npm install
config at your client

{
  "mcpServers": {
    "scast":{
      "command":"node",
      "args":[
        "/YOUR_INSTALL_DIR/SCAST/mcp/index.js",
        "/YOUR_WORKSPACE/",
        "C:\\Users\\DKZ\\OTHER_ALLOWED_DIR\\",
      ]
    }
  }
}

Ollama AI

install ollama first

ollama

ESTree

Compliant with ESTree specification AST parser

Force Directed Graph

FDP

More D3 Graph

Indented tree
Tidy tree
Cluster tree
Tadial tidy tree
Radial cluster tree
Force directed tree
Edge bundling

scast_d3