Best Static Code Analysis Software for Ruby

Compare the Top Static Code Analysis Software that integrates with Ruby as of July 2025

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This a list of Static Code Analysis software that integrates with Ruby. Use the filters on the left to add additional filters for products that have integrations with Ruby. View the products that work with Ruby in the table below.

What is Static Code Analysis Software for Ruby?

Static code analysis software is software designed to examine source code for potential errors, vulnerabilities, and code quality issues without executing the program. It scans the code to detect syntax problems, security flaws, and non-compliance with coding standards. This type of software helps developers identify bugs early in the development process, improving code reliability and reducing debugging time later. Static code analysis also assists in maintaining code consistency across teams by enforcing best practices and coding guidelines. By automating the review process, the software enhances code quality, reduces technical debt, and contributes to more secure, maintainable software. Compare and read user reviews of the best Static Code Analysis software for Ruby currently available using the table below. This list is updated regularly.

1

Parasoft

Parasoft

Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting embedded and enterprise markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.

125 Ratings

Starting Price: $125/user/mo

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2

GitHub Advanced Security

GitHub

With AI-powered remediation, static analysis, secret scanning, and software composition analysis, GitHub Advanced Security helps developers and security teams work together to eliminate security debt and keep new vulnerabilities out of code. Code scanning with Copilot Autofix detects vulnerabilities, provides contextual explanations, and suggests fixes in the pull request and for historical alerts. Solve your backlog of application security debt. Security campaigns target and generate autofixes for up to 1,000 alerts at a time, rapidly reducing the risk of application vulnerabilities and zero-day attacks. Secret scanning with push protection guards over 200 token types and patterns from more than 150 service providers, even elusive secrets like passwords and PII. Powered by security experts and a global community of more than 100 million developers, GitHub Advanced Security provides the insights and automation you need to ship more secure software on schedule.

Starting Price: $49 per month per user

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3

Coverity Static Analysis

Black Duck

Coverity Static Analysis is a comprehensive code scanning solution that enables developers and security teams to deliver high-quality software in compliance with security, functional safety, and industry standards. It effectively uncovers complex defects across extensive codebases, identifying and resolving code quality and security issues that span multiple files and libraries. Coverity supports compliance with a wide range of standards, including OWASP Top 10, CWE Top 25, MISRA, and CERT C/C++/Java, providing built-in reports to track and prioritize issues. With the Code Sight™ IDE plugin, developers receive real-time results, including CWE information and remediation guidance, directly within their development environment, facilitating the integration of security into the software development life cycle without compromising developer velocity.

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4

PMD

PMD

PMD is a source code analyzer. It finds common programming flaws like unused variables, empty catch blocks, unnecessary object creation, and so forth.

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