Generate an HTML complexity report for a JavaScript project to identify which files have the highest cyclomatic complexity and are most at risk for bugs.
Add Plato to a build script to produce a code health report on each pull request, tracking how complexity changes over time.
Use the programming interface to call Plato from within a Node.js task runner like Gulp and integrate the metrics into a custom reporting pipeline.
Project currently lacks an active maintainer, so support for newer JavaScript features may be incomplete.
Plato is a command-line tool that reads JavaScript source code and generates a visual HTML report showing how complex and maintainable the code is. It is aimed at developers who want a quick overview of the health of a JavaScript project, especially as codebases grow larger over time. The report it produces is a website you open in a browser. It shows metrics like cyclomatic complexity (a measure of how many different paths exist through a piece of code), lines of code per file, and lint warnings (style or error-prone pattern alerts caught by tools like JSHint or ESLint). The README links to example reports generated from popular open-source projects like jQuery and Hapi, so you can see what the output looks like before running it on your own code. Installing it takes one command via npm, the standard JavaScript package manager. You then point it at your source files and give it an output folder, and it generates the report there. It can scan directories recursively, exclude files matching a pattern, and accept a lint configuration file so warnings match your existing project rules. There is also a programming interface if you want to call it from within your own build scripts rather than the command line. The README notes that the project currently lacks an active maintainer, meaning it is not under regular development. It was last updated to support ES6 (a modern version of JavaScript) through a community contribution, but future updates depend on someone stepping up to maintain it. The code is open source under the MIT license.
← es-analysis on gitmyhub — every repo by this author, as a profile.
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