JavaScript Web Tool

A static analysis tool that helps developers audit JavaScript projects, estimate bundle size, and identify patterns impacting performance and maintainability.

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1,000+

Total Calculations Run

< 15ms

Browser Execution Speed

100%

Client-Side Privacy

4.9 / 5.0

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About This Tool

This tool provides static JavaScript analysis to help web developers, SEO teams, and platform engineers understand code quality, dependencies, and potential performance or security implications without executing code. It is designed for use during code reviews, continuous integration pipelines, and architecture planning when projects scale, new dependencies are introduced, or bundling strategies are being optimized. The output supports risk assessment, remediation planning, and actionable optimization priorities for maintainability and user experience. Core capabilities include AST-based parsing to identify imports/exports, dynamic imports, eval usage, and global mutations; generation of a dependency graph; and an estimate of likely bundle size. Required features are: AST parsing, dependency extraction, size estimation, and pattern detection. Optional capabilities include ES feature compatibility checks, bundler-agnostic resolution hints, and configurable reporting rules.

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How to Use

Provide inputs by pasting code_base or uploading files
Select analysis_type (security, performance, compatibility) and environment
Run analysis to generate the report
Review outputs: bundle-size estimate, dependency graph, flagged patterns, remediation guidance
Export report as JSON or a concise human-readable summary

Frequently Asked Questions

Find Quick Answers

What kinds of inputs does the tool analyze?

The tool accepts code_base as text or a collection of files and entry_points as module paths. It supports multi-file JavaScript projects and can incorporate optional environment and analysis_type settings to tailor the report to browser or Node contexts and to security, performance, or compatibility goals.

Can the tool handle large codebases?

Yes. The static analysis pipeline is designed to scale with project size by streaming AST traversal and incremental graph construction. For very large repositories, the analysis may be segmented by directory or package to manage memory and provide progressive results.

Does it require network access?

No. Analysis is performed offline using local source code. Dependency graph construction uses local import/export data; optional integration with known datasets is configurable but not required.

Is the output suitable for CI integration?

Yes. The tool emits a machine-readable JSON report with clear metrics and remediation guidance, enabling it to be archived as a build artifact or consumed by post-build analysis steps in CI pipelines.

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