# es-analysis/plato

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4,557 stars · 314 forks · JavaScript · MIT

## Links

- GitHub: https://github.com/es-analysis/plato
- awesome-repositories: https://awesome-repositories.com/repository/es-analysis-plato.md

## Description

Plato is a JavaScript static analysis tool and code complexity visualizer. It computes complexity metrics and runs linting checks on JavaScript source code to evaluate codebase quality, presenting the results through a static analysis dashboard.

The system aggregates linting data and technical metrics into timestamped reports. It specifically calculates cyclomatic and Halstead metrics to identify overly complicated files and assess the maintainability of a project.

The tool provides capabilities for source code visualization, automated quality reporting, and maintainability assessment. It includes a static analysis pipeline that supports metric aggregation and file filtering via regular expressions.

## Tags

### Development Tools & Productivity

- [Code Visualizers](https://awesome-repositories.com/f/development-tools-productivity/code-visualizers.md) — Creates graphical representations of source code complexity to identify overly complicated files. ([source](https://github.com/es-analysis/plato#readme))
- [Code Quality and Analysis](https://awesome-repositories.com/f/development-tools-productivity/code-quality-analysis.md) — Aggregates linting data from multiple tools to identify patterns and enforce coding standards. ([source](https://github.com/es-analysis/plato#readme))

### Software Engineering & Architecture

- [JavaScript Static Analysis Tools](https://awesome-repositories.com/f/software-engineering-architecture/javascript-static-analysis-tools.md) — Provides a comprehensive suite for computing complexity metrics and running linting checks on JavaScript source code.
- [Code Complexity Metrics](https://awesome-repositories.com/f/software-engineering-architecture/code-complexity-metrics.md) — Computes cyclomatic and Halstead metrics to assess the maintainability and structural complexity of source code. ([source](https://github.com/es-analysis/plato/blob/master/package.json))
- [Code Quality Visualizations](https://awesome-repositories.com/f/software-engineering-architecture/code-quality-visualizations.md) — Generates visual reports of code metrics and complexity to assess overall architectural health. ([source](https://github.com/es-analysis/plato/blob/master/package.json))
- [Cyclomatic Complexity Analyzers](https://awesome-repositories.com/f/software-engineering-architecture/cyclomatic-complexity-analyzers.md) — Calculates cyclomatic complexity by counting control flow branches to determine structural intricacy.
- [Halstead Complexity Metrics](https://awesome-repositories.com/f/software-engineering-architecture/halstead-complexity-metrics.md) — Computes Halstead metrics to estimate program volume and the mental effort required for maintenance.
- [Technical Debt Analyzers](https://awesome-repositories.com/f/software-engineering-architecture/technical-debt-analyzers.md) — Analyzes code structure and complexity metrics to determine long-term technical debt and software rot.
- [Metric Aggregators](https://awesome-repositories.com/f/software-engineering-architecture/metric-aggregators.md) — Combines disparate data points from various analysis tools into a single, comprehensive codebase report.
- [Analysis Pipelines](https://awesome-repositories.com/f/software-engineering-architecture/static-analysis-extensions/analysis-pipelines.md) — Runs a sequence of linting and complexity tools through a coordinated pipeline to produce unified datasets.

### Programming Languages & Runtimes

- [JavaScript Static Analysis](https://awesome-repositories.com/f/programming-languages-runtimes/javascript-static-analysis.md) — Performs automated checks on JavaScript source code to identify errors and improve general code quality.

### Testing & Quality Assurance

- [Static Analysis](https://awesome-repositories.com/f/testing-quality-assurance/code-quality-review/static-analysis.md) — Examines source code without execution to identify potential bugs, style violations, and quality issues. ([source](https://github.com/es-analysis/plato/tree/master/bin))
- [Analysis Report Aggregators](https://awesome-repositories.com/f/testing-quality-assurance/general-testing-utilities/test-reporters/summary-reports/code-quality/analysis-report-aggregators.md) — Aggregates linting data and technical metrics into timestamped reports for comprehensive source code analysis.
- [Analysis Dashboards](https://awesome-repositories.com/f/testing-quality-assurance/code-quality-review/static-analysis/analysis-dashboards.md) — Provides a web-based dashboard for reviewing and visualizing static analysis results and code metrics.
- [Code Quality and Security Reports](https://awesome-repositories.com/f/testing-quality-assurance/general-testing-utilities/test-reporters/summary-reports/code-quality/code-quality-and-security-reports.md) — Automatically generates prioritized reports on code quality and complexity for regular project audits.
- [Static Analysis Report Generators](https://awesome-repositories.com/f/testing-quality-assurance/static-analysis-report-generators.md) — Analyzes source files to compute complexity and run linting checks for the generation of static reports. ([source](https://github.com/es-analysis/plato/blob/master/README.md))
- [Structural Static Analysis](https://awesome-repositories.com/f/testing-quality-assurance/static-code-analysis/structural-static-analysis.md) — Analyzes code structure to identify functional units and provide a technical overview of complexity. ([source](https://github.com/es-analysis/plato/blob/master/LICENSE-MIT))

### System Administration & Monitoring

- [Static Analysis Reports](https://awesome-repositories.com/f/system-administration-monitoring/monitoring-and-observability/diagnostic-error-reporting/static-analysis-reports.md) — Generates summarized reports of static analysis findings including health scores and line-level errors. ([source](https://github.com/es-analysis/plato/blob/master/README.md))

### User Interface & Experience

- [Source Code Visualizations](https://awesome-repositories.com/f/user-interface-experience/data-display-components/tree-view-visualizers/debugger-state-visualizers/react-state-visualizers/source-code-visualizations.md) — Generates detailed visual diagrams and reports of the codebase to highlight problematic architectural areas.