How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
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
Writing the same imports over and over again is below your capacity. Let pyforest do the job for you.
pandas-vet is a plugin for flake8 that provides opinionated linting for pandas code.
The main features of deppen8/pandas-vet are: Code Quality Tools, Library Specific.
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… azz/pretty-quick — Runs Prettier on your changed files. beautify-web/js-beautify — js-beautify is a web language beautifier and code formatter designed to standardize the layout and structure of… browniebroke/flake8-django-migrations — Flake8 plugin to lint for backwards incompatible database migrations. conventional-changelog/commitlint — Commitlint is a command-line utility designed to lint and validate Git commit messages against established… 8080labs/pyforest — Writing the same imports over and over again is below your capacity. Let pyforest do the job for you.
