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Runs Prettier on your changed files.
The main features of azz/pretty-quick are: Code Quality Tools.
Projects with overlapping indexed features include: andresinaka/swiftcop — SwiftCop is a validation library fully written in Swift and inspired by the clarity of Ruby On Rails Active Record… beautify-web/js-beautify — js-beautify is a web language beautifier and code formatter designed to standardize the layout and structure of… conventional-changelog/commitlint — Commitlint is a command-line utility designed to lint and validate Git commit messages against established… danmar/cppcheck. davidanson/markdownlint. 8080labs/pyforest — Writing the same imports over and over again is below your capacity. Let pyforest do the job for you.
SwiftCop is a validation library fully written in Swift and inspired by the clarity of Ruby On Rails Active Record validations.
js-beautify is a web language beautifier and code formatter designed to standardize the layout and structure of JavaScript, HTML, and CSS files. It reorganizes source code into a consistent, readable style by applying configurable indentation and spacing rules. The project includes a utility for unpacking minified scripts, which transforms compressed or obfuscated JavaScript into a human-readable format. It provides a command-line interface for executing bulk code reformatting across multiple files. The tool supports customizable formatting rules and language-specific overrides, which can be
Commitlint is a command-line utility designed to lint and validate Git commit messages against established conventions. By parsing commit messages into structured components, it ensures that project history remains consistent, which facilitates automated changelog generation and semantic versioning. The tool distinguishes itself through a schema-driven validation engine that supports custom rule definitions and plugin-based extensions. It enables standardized project governance by allowing teams to distribute and inherit shared configuration rule sets across multiple repositories, ensuring un
Writing the same imports over and over again is below your capacity. Let pyforest do the job for you.