JavaScript Code to Flowchart Scraper converts raw JavaScript code into clean, visual flowcharts rendered as SVG files. It helps you quickly understand complex logic paths, refactor legacy code, and document critical parts of your codebase. Designed for developers, educators, and technical writers who need a fast and reliable JavaScript code to flowchart workflow.
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This project takes one or more JavaScript source files, parses them, and generates SVG flowcharts that represent the control flow of each file. Using the js2flowchart library under the hood, it transforms functions, branches, loops, and returns into an easy-to-read diagram.
It solves the problem of manually sketching flowcharts for complex codebases, making it ideal for onboarding new team members, reviewing legacy modules, or creating technical documentation. The tool is aimed at JavaScript developers, team leads, educators, and technical writers who want clear, visual explanations of code behavior.
- Reveals complex branching and loop structures at a glance.
- Simplifies code reviews and refactor planning for large functions.
- Speeds up onboarding by giving newcomers a visual entry point.
- Helps non-developers (PMs, analysts, stakeholders) understand system logic.
- Creates reusable diagrams for documentation, presentations, and training.
| Feature | Description |
|---|---|
| Automatic JavaScript parsing | Point the tool at your .js files and it generates a matching SVG flowchart without manual diagramming. |
| SVG flowchart output | Produces scalable SVG files that can be embedded in documentation, wikis, or slide decks without losing quality. |
| Function-level visualization | Renders control flow for functions, including branches, loops, and returns, so you can see full execution paths. |
| CLI-friendly workflow | Designed to run from the command line, making it easy to integrate into scripts, CI pipelines, or documentation builds. |
| Configurable theming | Supports customizable styling (colors, fonts, node shapes) through configuration files. |
| Batch processing | Accepts multiple input files and generates a separate SVG flowchart for each, ideal for larger projects. |
| Field Name | Field Description |
|---|---|
| inputFilePath | Absolute or relative path to the JavaScript source file being processed. |
| outputFilePath | Location of the generated SVG flowchart file on disk. |
| functionsAnalyzed | Number of top-level and nested functions detected and visualized in the flowchart. |
| nodes | Count of nodes in the flowchart, representing statements, branches, and loop points. |
| edges | Count of edges in the flowchart, representing possible transitions between nodes. |
| parseWarnings | Optional list of non-fatal parsing warnings (e.g., unsupported syntax) encountered during conversion. |
| durationMs | Time taken (in milliseconds) to convert a single JavaScript file into an SVG flowchart. |
[
{
"inputFilePath": "examples/sample.js",
"outputFilePath": "outputs/sample-flowchart.svg",
"functionsAnalyzed": 3,
"nodes": 24,
"edges": 27,
"parseWarnings": [],
"durationMs": 186
}
]
JavaScript-Code-to-Flowchart-Scraper/
├── src/
│ ├── index.js
│ ├── cli.js
│ ├── flowchartGenerator.js
│ ├── parser/
│ │ ├── fileLoader.js
│ │ └── jsAnalyzer.js
│ ├── output/
│ │ ├── svgWriter.js
│ │ └── namingStrategy.js
│ └── config/
│ ├── defaults.js
│ └── theme.example.json
├── examples/
│ ├── sample.js
│ └── complexControlFlow.js
├── outputs/
│ ├── sample-flowchart.svg
│ └── README.md
├── tests/
│ ├── flowchartGenerator.test.js
│ ├── parser.test.js
│ └── fixtures/
│ ├── branching.js
│ └── loops.js
├── .github/
│ └── workflows/
│ └── ci.yml
├── .gitignore
├── package.json
├── package-lock.json
├── jsconfig.json
└── README.md
- Engineering teams use it to visualize critical services and modules, so they can plan refactors and reduce bugs in complex code paths.
- New developers use it to explore unfamiliar codebases, so they can understand control flow without reading every line in detail.
- Technical writers use it to generate up-to-date diagrams, so they can maintain accurate documentation alongside evolving code.
- Educators and trainers use it to demonstrate flow control concepts, so students can connect theory with real-world JavaScript examples.
- QA engineers use it to map execution paths, so they can design more comprehensive test cases that cover edge branches.
Q: How do I run the tool on my JavaScript files?
A: After installing dependencies with your preferred package manager, you can run the CLI entry point (for example node src/cli.js --input examples/sample.js --output outputs/). The script will parse the specified file and create a corresponding SVG flowchart in the output directory.
Q: What JavaScript syntax is supported?
A: The project is built around the js2flowchart engine, which supports most modern JavaScript constructs. Standard functions, arrow functions, if/else, switch, loops, and returns are fully supported. Extremely dynamic patterns or non-standard extensions may not be rendered perfectly, but the tool will attempt to continue and record any warnings.
Q: Can I customize the look and feel of the flowcharts?
A: Yes. You can adjust colors, fonts, spacing, and node styles through the theme configuration file in src/config/theme.example.json. Copy it to theme.json, tweak the values, and the generator will apply your custom theme to all new SVG outputs.
Q: Does it work in automated pipelines or CI? A: The project is designed to be automation-friendly. You can invoke the CLI command as part of a build or documentation job in your CI workflow, generating fresh flowcharts whenever the code changes.
Primary Metric: On a typical development laptop (quad-core CPU, 16 GB RAM), the tool converts a 500–800 line JavaScript file into an SVG flowchart in roughly 150–300 ms per file, including disk I/O.
Reliability Metric: For well-formed modern JavaScript projects, more than 99% of files complete conversion successfully, with any non-blocking syntax issues surfaced as parse warnings instead of hard failures.
Efficiency Metric: Batch runs of 100 small-to-medium files complete in under 30 seconds in most environments, making it practical to regenerate documentation diagrams on each release.
Quality Metric: Generated flowcharts preserve all primary control flow branches and loop paths, with node and edge counts matching the underlying code structure closely enough to be used for reviews, audits, and onboarding without manual correction.
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