detekt vs JSHint

detekt is a free static code analyzer for Kotlin that helps identify code smells. It supports Android, JVM, JS, Native, and Multiplatform projects, and runs on Linux, macOS, and Windows. Developers can configure rule sets, create baselines for existing issues, and suppress findings with @Suppress annotations. Reports can be generated as HTML, Markdown, SARIF, Checkstyle XML, or custom formats; complexity reports can include lines of code, cyclomatic complexity, and code smell counts. The project provides a Gradle plugin and documents use with Gradle, Maven, and Bazel builds. Its Gradle plugin requires Gradle 6.8.3 or higher. Custom rule sets can be added through detekt's RuleSetProvider and ServiceLoader pattern, and the marketplace lists community rules, extensions, and plugins. CLI installation guidance covers Homebrew on macOS, Scoop on Windows, SDKMAN on Unix-like systems, and NixOS. detekt supports autofix, IDE use, and CI. Its security policy says patches are applied up to the current minor version, with earlier versions handled case by case.

JSHint is a free, open-source static analysis tool for JavaScript. It checks code for syntax errors and potential problems such as implicit type conversion issues and leaking variables. The project aims to help JavaScript developers avoid typos and language gotchas while working on complex programs. JSHint is distributed as a Node module with a library and command-line program, and it can also be used through a JavaScript API. Configuration can come from command-line options, a .jshintrc file, package.json, or inline source directives. Standalone files are available for browser-like environments and Mozilla Rhino, with releases published to npm for Node.js. The install page lists integrations for editors and IDEs including Vim, Emacs, Sublime Text, Visual Studio, VS Code, Eclipse, and JetBrains IDEs, plus build integrations such as Grunt, Ant, Maven, pre-commit, and QUnit. JSHint is licensed under the MIT Expat license. Its documentation cautions that static analysis cannot determine whether a program is correct or fast, or whether it has memory leaks, and recommends using it alongside unit and functional tests and code reviews.