Projects sharing features with PHP CodeSniffer

JSHint is a JavaScript static analysis tool and linter designed to detect errors and enforce coding standards. It functions as a syntax validator that scans source code to identify potential logic problems and programming mistakes before the code is executed. The tool provides a command line interface for analyzing files and directories. It supports the export of analysis results into standardized formats such as Checkstyle for integration with external build tools. Analysis is managed through a system of linting rule management and environment global configuration. This includes the ability

ansible-lint is a static code analysis tool and linter designed to identify syntax errors and best practice violations within Ansible playbooks and roles. It functions as a quality gate for automation pipelines, scanning configuration files and scripts without executing the code to ensure reliability and consistency. The project distinguishes itself by acting as an automated code formatter that can correct identified linting issues and reformat files to meet community standards. It also serves as a dependency manager, automatically detecting and installing required roles and collections from

This project is a curated collection of guidelines and technical resources designed to improve C++ code safety, maintainability, and performance. It provides a comprehensive set of coding standards and best practices for establishing consistent naming, formatting, and structural patterns across C++ codebases. The guide offers specific technical advice on performance optimization, including methods for minimizing object copying, optimizing memory allocation, and reducing compilation cycles. It also provides a directory of tooling recommendations for implementing static analysis, fuzz testing,

WordPress Coding Standards is a collection of rules for the PHP CodeSniffer engine designed to enforce consistent coding conventions and best practices within PHP projects. It functions as a specialized static analysis tool that scans source code to identify style violations, security vulnerabilities, and potential bugs before execution. By integrating into development workflows, it ensures that code adheres to official project conventions, maintaining readability and consistency across large-scale plugin and theme development. The project distinguishes itself through deep domain-specific val

PHP-CS-Fixer is a static analysis tool and code style linter designed to validate PHP code against predefined standards. It functions as a coding standard fixer that automatically detects and corrects style violations to ensure consistent formatting across a codebase. The project serves as a syntax modernizer, providing automated tools to update legacy PHP syntax to align with newer language versions. It also allows for the creation of custom style rules when built-in standards do not meet specific requirements. The tool covers broad capability areas including automated linting workflows and

This tool is a command-line utility designed to automatically detect and correct coding standard violations in PHP source files. It functions as a static analysis and refactoring engine that ensures consistent project-wide formatting by applying predefined community conventions or custom organizational rules. The project distinguishes itself through a modular rule-based engine that supports both automated style correction and codebase modernization. It allows developers to update legacy syntax to align with newer language versions and testing framework requirements, facilitating the adoption

Pylint is a static code analyzer for Python that scans source code for errors, coding standard violations, code smells, and type-related issues without executing the program. It functions as a plugin-based linter framework, allowing users to extend its analysis capabilities with custom or third-party checks for project-specific rules and framework support. The tool also includes a duplicate code detector that identifies identical or near-identical code blocks across a project to help reduce redundancy. Beyond its core linting functionality, Pylint can generate UML class and package diagrams f

Standard is a suite of static analysis tools for JavaScript, comprising a linter, formatter, and a predefined style guide. It functions as a static code analyzer that scans source code for style violations and potential errors without executing the program. The project provides an automatic code fixer that rewrites source code to resolve formatting issues and enforce syntax consistency. It implements a standardized set of rules for JavaScript formatting and syntax to ensure a uniform appearance across different projects. The system covers a wide range of static analysis capabilities, includi

Flake8 is a Python style checker and static analysis tool that identifies programmatic errors and violations of coding standards in source files. It serves as a linting wrapper that aggregates multiple checkers into a single interface, functioning as a pluggable framework for Python code analysis. The tool incorporates a cyclomatic complexity analyzer to measure the logical complexity of functions and identify code that requires refactoring. It is designed for extensibility, allowing the integration of custom plugins and rules through defined entry points. The system provides capabilities fo

Sass-lint is a static analysis engine designed to enforce coding standards and maintain consistent syntax across Sass and SCSS codebases. As a command-line utility, it integrates into development workflows and build pipelines to automate the validation of stylesheets, ensuring that formatting and best practices are applied consistently throughout a project. The tool distinguishes itself through a flexible configuration system that supports recursive rule inheritance and custom overrides, allowing for the management of complex, large-scale project requirements. It provides granular control ove

This project is a comprehensive set of standards for the Swift ecosystem, providing a code style guide, API design standards, and a memory management guide. It establishes standardized naming and formatting rules to ensure consistent and maintainable source code. The project includes a linting configuration used by automated tools to detect and enforce syntax patterns. These rules are designed to standardize code style and can be integrated into build phases to block commits with formatting errors. The guidelines cover a broad range of development capabilities, including the use of access mo

Awesome Copilot is a comprehensive framework for autonomous software development, providing the infrastructure to orchestrate multi-agent teams and automate complex coding workflows. It functions as a centralized platform for managing AI-driven development, enabling developers to deploy specialized agents that interact with local files, terminal commands, and external APIs to execute end-to-end software delivery tasks. The project distinguishes itself through its focus on governance and extensibility, offering a suite of security controls, policy-based execution guardrails, and audit trails t

autopep8 is a Python static code styler and formatter designed to automatically rewrite source code to comply with the PEP 8 style guide. It functions as a recursive code cleaner that identifies and fixes indentation, whitespace, and syntax irregularities across entire projects. The tool performs structural refactoring using abstract syntax tree transformations to execute non-whitespace changes, such as shortening long lines and improving identity tests. It includes an aggressive refactoring mode for complex style violations and supports selective formatting via inline markers to disable chan

Alex is an inclusive language linter and content auditor designed to detect and flag insensitive, inconsiderate, or gendered phrasing. It serves as a profanity detection tool that identifies offensive words based on configurable certainty ratings to ensure professional and neutral content. The tool distinguishes itself through diff-aware analysis, allowing it to function as a continuous integration validator. By analyzing pull request deltas, it can flag new insensitive phrasing while ignoring existing legacy issues to prevent old warnings from blocking new merges. The project supports multi

Typos is a source code spell checker and automated typo fixer designed to detect and correct spelling errors across programming languages and project files. It functions as a CI spelling validator and SARIF compatible linter, allowing projects to prevent misspelled text from reaching production. The tool features a customizable dictionary engine that utilizes TOML configuration and locale-specific dictionaries to manage project-specific terminology. It differentiates itself by splitting programming language identifiers into individual words for validation and verifying the spelling of filenam

Universal Ctags is a multi-language symbol indexer and regex-based parsing engine used to extract and catalog functions, classes, and variables from source code. It functions as a source code indexer that scans files across diverse programming languages to create searchable catalogs of definitions and declarations. The project is distinguished by its extensible parser framework, which allows users to define new language rules using regular expressions and configuration files. It supports complex parsing scenarios through state-based parsing, stack-oriented scope tracking, and guest-parser del

axe-core is an automated accessibility testing engine and compliance auditor designed to scan web and mobile interfaces for violations of industry accessibility standards. It functions as a programmatic scanner and linter that analyzes HTML and source code to identify barriers and verify compliance with accessibility guidelines. The project distinguishes itself by combining a DOM-based rule engine with computer vision and machine learning to detect complex violations that evade traditional analysis, such as visual heading discrepancies and informative images. It provides specialized capabilit

PHP-Parser is a tool that converts PHP source code into an abstract syntax tree for static analysis and programmatic manipulation. It functions as a parser, a code generator, and a static analysis framework. The project enables the programmatic construction of abstract syntax tree nodes through a fluent interface and provides the ability to transform these trees back into formatted source code. It includes a serializer that exports abstract syntax trees to JSON format and reconstructs them from strings. The toolset covers several capability areas, including namespace resolution, constant exp

p3c is a Java static analysis tool and code quality linter designed to enforce professional coding guidelines and quality standards. It utilizes a set of custom rules based on the PMD engine to scan source code for style violations, performance bottlenecks, and potential bugs. The project is distributed as an IDE linting plugin that provides real-time feedback and warnings during development. It also includes functionality for pre-commit code quality gates, allowing modified files to be scanned and blocked if they violate defined rules before being committed to version control. The analysis

Detekt is a static analysis tool, code quality linter, and complexity analyzer for Kotlin source code. It functions as a code smell detector and static scanner designed to identify potential bugs, design flaws, and violations of coding standards without executing the program. The tool differentiates itself through the use of issue baselining, which allows users to create a snapshot of existing legacy code issues to filter out old violations and focus on preventing new regressions. It further supports extensibility via a plugin-based system that allows for the integration of custom rule sets a

PMD is a multi-language static code analyzer used to identify programming flaws, unused variables, and dead code without executing the program. It functions as a code smell detector and coding standard enforcer, ensuring source code adheres to specific naming conventions, structural requirements, and project style guides. The project features an XPath-based rule engine that allows users to define custom analysis patterns using queries against an abstract syntax tree. It also includes a copy-paste detector to identify duplicated code blocks across multiple files and a visual rule designer for

SonarQube is a static code analysis platform used to scan source code and infrastructure scripts across multiple languages. It detects bugs, security vulnerabilities, and maintainability issues to ensure software meets reliability and security standards. The platform implements automated quality gates for continuous integration and delivery pipelines, verifying code against defined rules during merge or pull requests. It also integrates directly with code editors to provide real-time analysis results and quick-fix guidance during development. The system covers broad functional areas includin

This project is a community-driven Ruby coding style guide and static analysis standard. It provides a collection of agreed-upon rules for syntax, naming conventions, and structural guidelines to ensure uniform code appearance and maintainability across Ruby projects. The project serves as both a human-readable documentation resource for developers and a machine-readable RuboCop configuration specification. This allows natural language style guidelines to be mapped directly to automated linting rules. The system covers Ruby code standardization, style enforcement, and project governance thro

This project provides a collection of coding standard specifications, style guides, and configuration assets used to define automated rules for static code analysis in Ruby. It serves as a centralized set of RuboCop configurations and static analysis rules to ensure consistent syntax and idiomatic usage across a codebase. The project establishes a comprehensive Ruby style guide that defines naming conventions, indentation, and structural requirements. It utilizes a pluggable linting engine to enforce these standards through a defined set of patterns and constraints. The capability surface co

This project is a JavaScript style guide and a set of coding standards designed to ensure codebase consistency. It provides a collection of best practices for writing maintainable and idiomatic code, focusing on variable naming, type checking, and execution context. The project serves as a static analysis guide, offering frameworks and guidelines for using linters and automated tools to identify bugs and verify code correctness before deployment. It establishes standards for formatting, syntax, and variable declarations to standardize code style across a project. The scope of the project cov

This project is a JavaScript style guide and Node.js coding standard designed to ensure the creation of consistent, maintainable, and readable code. It serves as a comprehensive reference for naming conventions, formatting, and architectural patterns. The project provides a linting configuration template that allows for the automatic enforcement of these standards. This includes predefined linting presets and a base of rules used to perform logic checks and automatic formatting across a codebase. The guidelines cover a broad range of standardization capabilities, including code and file form