Open-source alternatives to Repowise

Ruff is a high-performance static analysis and code formatting tool designed for Python. Built in Rust, it functions as a comprehensive engine that scans source code to detect programming errors, security vulnerabilities, and deviations from established coding standards. By parsing source code into a structured tree representation, it provides both automated linting and style enforcement across entire projects. The tool distinguishes itself through its speed and deep integration into the development lifecycle. It utilizes parallelized file processing to maximize throughput on large codebases

Inspects Python source files and provides information about type and location of classes, methods etc

Vulture is a static analysis tool and linter designed to find unused variables, functions, and classes in Python source code. It operates as a dead code detector and unused code finder that scans source files to identify unreachable expressions and imports without executing the code. The tool employs a confidence-based heuristic scoring system to assign probability values to detections, helping to distinguish truly unused symbols from potential false positives. It further assists in pruning dead logic by sorting detected unused classes and functions by line count to prioritize the removal of

This project is an uncompromising, deterministic code formatter for Python. It functions by parsing source code into an abstract syntax tree and regenerating it according to a rigid, opinionated set of style rules. By automating the formatting process, it eliminates manual style debates and configuration overhead, ensuring that code remains consistent across entire projects regardless of the original input. The tool distinguishes itself through its focus on speed and seamless integration into development workflows. It utilizes content-based file caching and parallel processing to maintain hig

isort is a Python import sorter and code formatter that organizes import statements into alphabetical groups and sections. It functions as both a utility to automatically rearrange imports for a consistent layout and as a linting tool to verify if code follows specific ordering rules. The project provides configurable layout settings for indentation, wrapping modes, and section ordering to ensure compliance with project style guides and PEP 8. It allows for the exclusion of specific lines or files through inline comments and docstrings. The tool integrates into development workflows via IDE

code2flow is a static program flow mapper and source code call graph generator. It analyzes source code to produce visual flow diagrams that map function call relationships and execution paths. The project includes an asynchronous call trace visualizer that follows execution paths through async and await calls to map the logic of asynchronous programs. It also provides a programmable code analysis interface, allowing the call graph generation logic to be integrated into other software applications. The system handles static code analysis by converting source code into abstract syntax trees t

a python refactoring library

This project is a specialized instruction set for AI coding agents designed to perform structured, language-specific code reviews. It functions as an automated tool that evaluates source code against predefined checklists to identify security, performance, and architectural inconsistencies across diverse technology stacks. The system distinguishes itself by employing a multi-phase analysis pipeline that moves from high-level architectural assessments to granular, line-by-line inspections. It utilizes a severity-based taxonomy to categorize findings, clearly separating blocking security issues

Guess Erlang Application Scattering

A static code analysis tool for Crystal

Checkstyle is a Java static analysis tool and linter designed to identify and enforce coding standards and best practices. It functions as a code quality auditor and Javadoc validation tool, checking source code against configurable rulesets to ensure structural and stylistic consistency. The project allows for the creation of custom linting rules by extending a core API to inspect the abstract syntax tree. It further enables specialized validation through the use of XPath expressions to query the syntax tree for specific code patterns and violations. Capability areas include the enforcement

This project is a high-performance static type checker and comprehensive development toolkit for Python. It functions as a core analysis engine that identifies type inconsistencies and enforces code correctness, while simultaneously providing a language server implementation to deliver real-time diagnostics and intelligence directly within development environments. The tool distinguishes itself through a parallelized execution engine that maximizes performance across large-scale codebases and monorepo structures. It supports gradual type adoption, allowing developers to integrate type checkin

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

Pyrefly is a static type checker for Python that operates as a language server, delivering real-time diagnostics, completions, and navigation in any editor supporting the Language Server Protocol. It also performs static tensor shape analysis, using symbolic dimension variables and arithmetic to verify shape consistency in deep learning models without runtime execution. Beyond core type checking, Pyrefly supports gradual adoption workflows: it can generate a baseline of known errors so only new issues are reported, migrate configuration from other type checkers, and automatically suppress exi

PHPStan CakePHP

Infer is a static analysis toolset for Java, C, C++, and Objective-C designed to detect memory leaks, null dereferences, and resource bugs. It functions as a multi-language bug finder that identifies race conditions, deadlocks, and memory safety issues by translating source code into a common intermediate representation for analysis. The project distinguishes itself through an inter-procedural data flow analyzer that tracks movement between sources and sinks to detect tainted flows and generate data flow graphs. It also includes a framework for verifying temporal properties and reachability u

🚀 fgprof is a sampling Go profiler that allows you to analyze On-CPU as well as Off-CPU (e.g. I/O) time together.

The most opinionated Go source code linter for code audit.

A report card for your Go application

This is a static analysis linter and code quality tool for Go. It analyzes source code to identify common coding errors, style mistakes, and inconsistencies with language conventions. The tool is designed for integration with text editors and integrated development environments, exporting linting results in formats that support quickfix menus. Its capabilities include Go static analysis and source code quality assurance across files and packages. The system utilizes a static analysis pipeline and rule-based pattern matching to identify structural patterns that violate predefined coding stand

README file generator, powered by AI.

This project is a collection of official toolsets and server implementations designed for the parsing, formatting, and semantic analysis of the Go programming language. It includes a language server that provides real-time code intelligence and automated editing capabilities to editors via the Language Server Protocol. The toolset provides a suite of utilities for source code formatting and static analysis. This includes automated standardization of code layout, import organization, and the generation of string representation methods for enumerated types. The project covers broad static anal

This project is a static analysis runner designed to identify bugs, performance bottlenecks, and stylistic inconsistencies within Go codebases. It functions as a comprehensive quality assurance suite that executes multiple analysis tools concurrently to provide a unified diagnostic report. By parsing source code into a structured representation, the tool enforces coding standards, validates import structures, and ensures consistent formatting across entire projects. The tool distinguishes itself through its ability to automate the remediation of identified issues, applying programmatic fixes