List of the Top 25 Free Static Code Analysis Software in 2025

PlatformIO is a pioneering collaborative platform tailored for embedded development, enabling users to save time and resources by drastically reducing the costs and efforts associated with software development and upkeep. The embedded systems industry is in urgent need of a revolutionary solution, as numerous current IDEs and tools are based on obsolete technology from the 1990s, leading to complicated requirements and platform-specific setups that deter talented developers from entering the field of embedded engineering. As the top-rated IDE option for Microsoft Visual Studio Code, it provides a user-friendly and highly modular integrated development environment along with a robust array of professional development tools. These tools are specifically designed to improve both the efficiency and ease of creating and delivering embedded products. Moreover, PlatformIO is developed solely in pure Python, which guarantees its operation without reliance on any external libraries or system tools, thereby simplifying the development process and promoting a more effective workflow. Its dedication to modernizing the landscape of embedded development positions it as an indispensable resource for developers eager to push the boundaries of innovation in this area. By embracing the advantages of such a platform, developers can not only enhance their productivity but also contribute to the evolution of embedded engineering as a whole.

The YAG Suite represents a groundbreaking French tool that elevates SAST capabilities significantly. YAGAAN merges static analysis with machine learning, providing clients with much more than a mere source code scanner. This comprehensive suite enhances application security audits and integrates security and privacy within DevSecOps design processes. By aiding developers in grasping the causes and implications of vulnerabilities, the YAG Suite transcends standard vulnerability detection methods. Its contextual remediation feature enables developers to swiftly address issues while also enhancing their secure coding practices. Additionally, YAG Suite’s innovative 'code mining' technique facilitates security assessments of unfamiliar applications, effectively mapping all pertinent security mechanisms and offering querying features to identify 0-day vulnerabilities and other risks that cannot be automatically detected. Currently, it supports programming languages such as PHP, Java, and Python, with plans to expand to JavaScript, C, and C++ in the future. This forward-thinking approach ensures that developers are well-equipped to tackle emerging security challenges.

Ensure that modifications are validated across a variety of resource types supported by major cloud service providers. During the build phase, utilize a simple Python policy-as-code framework to conduct scans of cloud resources aimed at identifying any misconfigurations. Leverage Checkov’s graph-oriented YAML policies to investigate the interconnections among cloud resources. Within the specific context of a repository's CI/CD processes and version control systems, execute, test, and fine-tune runner parameters. Tailor Checkov to develop your own distinct policies, providers, and suppression terms that align with your needs. By integrating this validation process into the developers' existing workflows, you can effectively prevent the deployment of misconfigurations. Enable automated comments on pull or merge requests in your repositories, thereby negating the necessity for establishing a CI pipeline or conducting periodic checks. The Bridgecrew platform is designed to automatically assess new pull requests, offering feedback that points out any policy violations it detects, which is crucial for maintaining continuous compliance and enhancing security within your cloud infrastructure. This proactive methodology significantly contributes to upholding best practices while simultaneously fortifying the overall security framework of your cloud environment. Regularly reviewing and refining these practices will ensure long-term resilience against potential vulnerabilities.

Hubbl Diagnostics: Empowering the Salesforce Ecosystem with Intelligent Org Solutions At Hubbl Diagnostics, our commitment is to enhance and empower the entire Salesforce ecosystem by offering innovative org intelligence solutions. We equip Salesforce administrators, architects, and consultants with the most comprehensive and actionable insights available for any Salesforce organization. Our mission is straightforward: to assist organizations in addressing technical debt, removing redundant automation, and effectively managing the increasing complexity of their Salesforce environments. This approach allows businesses to optimize their investments in Salesforce, enabling them to achieve results more quickly than they ever thought possible. What distinguishes Hubbl Diagnostics is our unique metadata aggregation, which not only provides essential insights but also gives the Salesforce ecosystem access to valuable benchmark data. This enables users to evaluate and compare their organization's complexity with that of others in the same sector, thereby gaining a significant advantage. By leveraging the capabilities of Hubbl Diagnostics, companies can revolutionize their Salesforce operations, enhancing processes, boosting efficiency, and reaching unprecedented levels of success. Ultimately, our solutions empower organizations to not just survive but thrive in an increasingly competitive landscape.

Sourcetrail is an interactive application aimed at facilitating the navigation and understanding of existing source code by meticulously indexing it and gathering details regarding its architecture. This innovative tool features a user-centric interface that comprises three dynamic views, each critical for efficiently accessing pertinent information. The Search function allows users to quickly find and select indexed symbols within the codebase, with an autocompletion box that provides an immediate summary of all relevant findings across the entire project. The Graph view effectively showcases the structure of the source code, highlighting the currently selected symbol while also displaying its dependencies, both incoming and outgoing, with other related symbols. In addition, the Code view enumerates all source locations associated with the chosen symbol through various code snippets, enabling users to click on any item for a deeper investigation of the code. By offering such comprehensive tools and features, Sourcetrail not only simplifies the comprehension of intricate code structures but also empowers developers to enhance their coding practices and productivity. Ultimately, it serves as an invaluable resource for anyone looking to navigate complex software projects with ease.

Boost your efficiency by ensuring that only top-notch code is deployed, as SonarQube Cloud (formerly known as SonarCloud) effortlessly assesses branches and enhances pull requests with valuable insights. Detecting subtle bugs is crucial to preventing erratic behavior that could negatively impact users, while also addressing security vulnerabilities that pose a risk to your application, all while deepening your understanding of application security through the Security Hotspots feature. You can quickly start utilizing the platform directly from your coding environment, allowing you to take advantage of immediate access to the latest features and enhancements. Project dashboards deliver essential insights into code quality and release readiness, ensuring that both teams and stakeholders are well-informed. Displaying project badges highlights your dedication to excellence within your communities and serves as a testament to your commitment to quality. Recognizing that code quality and security are vital throughout your entire technology stack—covering both front-end and back-end development—we support an extensive selection of 24 programming languages, including Python, Java, C++, and more. As the call for transparency in coding practices increases, we encourage you to join this movement; it's entirely free for open-source projects, presenting a valuable opportunity for all developers! Additionally, by engaging with this initiative, you play a role in a broader community focused on elevating software quality and fostering collaboration among developers. Embrace this chance to enhance your skills while contributing to a collective mission of excellence.

Modern security teams are focused on fostering a collaborative atmosphere for developers by integrating code guardrails with every commit they make. Utilizing r2c’s Semgrep allows organizations to eliminate various types of vulnerabilities effectively and seamlessly. By adopting lightweight static analysis tools, the productivity of your security team can be significantly improved. Semgrep is recognized as a fast and open-source static analysis tool that makes it easy to express coding standards without complicated queries, facilitating early bug detection during the development cycle. The rules are intentionally crafted to reflect the code being examined, which removes the hurdles of navigating abstract syntax trees or wrestling with regex intricacies. You can effortlessly begin using over 900 available rules and leverage SaaS infrastructure for immediate feedback right in your editor, at the point of commit, or within continuous integration setups. Should the default rules fail to address your particular requirements, crafting custom rules that align with your organization’s coding standards is a quick and straightforward process, with syntax that mirrors the target code. For example, rules designed for Go are structured to align closely with the Go language, enabling the identification of function calls, class and method definitions, and more, all without the complications associated with abstract syntax trees or regex issues. This method not only simplifies the security workflow but also equips developers to produce high-quality code more efficiently and confidently, ultimately benefiting the overall development process. By embracing such tools, organizations can create a culture of security that becomes an integral part of the development lifecycle.

The Puma Scan Professional End User Edition provides developers with the opportunity to leverage Puma Scan through a Visual Studio extension, boasting enhanced features, fewer false positives, and numerous support alternatives. This particular license is effective for a duration of one year, with options for renewal on an annual basis. On the other hand, the Server Edition allows for command line scanning and can be seamlessly integrated into your build server, eliminating the need for Visual Studio's resources. A single Server license is usable across five build agents within a single organization, and for those with larger demands, additional Build Agent Bundles can be purchased in sets of five. Moreover, the Azure DevOps Extension incorporates a Puma Scan build task into your Azure DevOps pipelines, streamlining your development process. With Azure DevOps Standard licenses, users can scan up to 20 build pipelines, while the Azure DevOps Unlimited licenses provide the capability for unrestricted scanning across an entire organization, guaranteeing thorough coverage for all projects. This range of options empowers organizations to select the most suitable licensing arrangement tailored to their unique scanning needs, ensuring they can effectively manage their software security. Additionally, the flexibility offered by these editions allows for scalability as the organization grows and its scanning requirements evolve.

DeepSource simplifies the task of detecting and fixing code problems during reviews, addressing potential bugs, anti-patterns, performance issues, and security threats. Its integration with Bitbucket, GitHub, or GitLab is quick and easy, taking less than five minutes to set up, which adds to its convenience. It accommodates a variety of programming languages, including Python, Go, Ruby, and JavaScript, and extends its support to all major languages alongside Infrastructure-as-Code features, secret detection, and code coverage. This comprehensive support means DeepSource can be your go-to solution for safeguarding your code. By leveraging the most sophisticated static analysis platform, you ensure that bugs are caught before they reach production. With an extensive set of static analysis rules unmatched in the industry, your team will have a centralized hub for effectively monitoring and maintaining code quality. Additionally, DeepSource automates code formatting, helping to keep your CI pipeline free from style-related disruptions. It also offers the capability to automatically generate and apply fixes for identified problems with minimal effort, significantly boosting your team's productivity and efficiency. Moreover, by streamlining the code review process, DeepSource enhances collaboration among developers, leading to higher quality software outcomes.

Gain prompt code evaluations from skilled engineers, enhanced by AI solutions. Every time you submit a pull request, you can effortlessly incorporate seasoned engineers into your process. Boost the speed of delivering high-quality, secure code through AI-assisted code evaluations. Regardless of whether your development team consists of 5 or 5,000 individuals, PullRequest will improve your code review framework and customize it to meet your specific needs. Our knowledgeable reviewers help detect security risks, reveal hidden bugs, and tackle performance issues before your code goes live. This entire operation is seamlessly integrated into your existing tools to ensure maximum productivity. Our experienced reviewers, supported by AI analytics, can effectively pinpoint critical security flaws. We utilize sophisticated static analysis that leverages both open-source tools and proprietary AI, offering reviewers deeper insights. Empower your senior staff to concentrate on high-level strategies while making significant progress in fixing issues and optimizing code, even as other team members continue their development work. This cutting-edge strategy enables your team to sustain productivity while guaranteeing top-notch code quality. As a result, the overall efficiency of your development process is significantly enhanced, leading to faster project turnaround times.

Qodana’s static code analysis enables development teams to maintain high-quality standards, ensuring their code is not only easy to read and maintain but also secure from vulnerabilities. Created by JetBrains, this tool has been honed over two decades, drawing on feedback from millions of users in the programming community. By incorporating insights from JetBrains IDEs, Qodana enhances its intelligence for use in continuous integration (CI) setups. Its analysis is both accurate and discreet, capable of understanding the complexities of your codebase with ease. Integration with widely used tools, including JetBrains IDEs, allows developers to engage seamlessly with Qodana’s insights in their preferred working environment. Beyond simply highlighting issues, Qodana actively suggests automated solutions aimed at improving overall code quality. To keep costs manageable, it bases license fees on the number of active contributors, thereby eliminating unforeseen expenses associated with project expansion, as it disregards the number of lines of code. Additionally, Qodana is offered free of charge for open-source projects, promoting innovation and teamwork within the developer ecosystem. This dedication to enhancing quality while maintaining accessibility makes Qodana an indispensable resource for any programming team, reinforcing the importance of sustainable coding practices.

GitHub Advanced Security enables developers and security experts to work together efficiently in tackling existing security issues and preventing new vulnerabilities from infiltrating code through a suite of features like AI-driven remediation, static analysis, secret scanning, and software composition analysis. By utilizing Copilot Autofix, vulnerabilities are detected through code scanning, which provides contextual insights and suggests fixes within pull requests as well as for previously flagged alerts, enhancing the team's capacity to manage their security liabilities. Furthermore, targeted security initiatives can implement autofixes for as many as 1,000 alerts at once, significantly reducing the risk of application vulnerabilities and zero-day exploits. The secret scanning capability, which includes push protection, secures over 200 different token types and patterns from a wide range of more than 150 service providers, effectively identifying elusive secrets such as passwords and personally identifiable information. Supported by a vast community of over 100 million developers and security professionals, GitHub Advanced Security equips teams with the automation and insights needed to deliver more secure software promptly, thereby promoting increased confidence in the applications they develop. This holistic strategy not only bolsters security but also enhances workflow efficiency, making it simpler for teams to identify and tackle potential threats, ultimately leading to a more robust security posture within their software development lifecycle.

Opengrep is an open-source tool designed for static code analysis, focusing on identifying security vulnerabilities in different codebases. As a derivative of Semgrep, it aims to provide quick and efficient searching for code patterns across more than 30 programming languages, including popular ones like Python, JavaScript, and Go. The platform enables developers to establish custom rules for detecting patterns, which helps in pinpointing potential security issues and promotes adherence to coding standards. By integrating Opengrep into their development workflows, teams can adopt a proactive approach to managing vulnerabilities, thereby enhancing the security and dependability of their software applications. Moreover, its intuitive interface and customizable options make it an attractive choice for developers looking to refine their coding practices further. In essence, Opengrep not only streamlines the detection of security flaws but also fosters a culture of quality and safety in software development.

PHPStan is an accessible, open-source utility aimed at the static analysis of PHP code, which helps in detecting bugs in your codebase without the necessity for creating extra tests. It conducts a thorough assessment of your entire code, revealing both clear and subtle issues, including those found in rarely-executed conditional statements that standard testing may miss. By integrating PHPStan into your development routine and continuous integration workflows, you can effectively prevent bugs from reaching production. This tool is versatile enough to work with older codebases, even those lacking an autoloader, and it supports iterative enhancements through customizable rule configurations. Such an approach enables developers to gradually elevate code quality without being overwhelmed by numerous errors at the outset. Moreover, PHPStan supports advanced PHP features before they are officially released, such as generics, array shapes, and checked exceptions, leveraging PHPDocs for this purpose. It also offers extensions for popular frameworks like Symfony, Laravel, and Doctrine, ensuring developers maintain a comprehensive grasp of their code. Furthermore, PHPStan aids teams in upholding coding standards while embracing new PHP features as they are introduced, ultimately cultivating a more resilient coding environment. This proactive approach to code analysis and quality assurance fosters a culture of excellence among development teams.

Codacy serves as an automated tool for code reviews, utilizing static code analysis to pinpoint issues, which in turn enables engineering teams to conserve time and address technical debt effectively. By integrating effortlessly with existing workflows on various Git providers, as well as platforms like Slack and JIRA through Webhooks, Codacy ensures that teams receive timely notifications regarding security vulnerabilities, code coverage, duplicate code, and the complexity of code with each commit and pull request. Additionally, the tool offers advanced metrics that shed light on the overall health of projects, team performance, and other key indicators. With the Codacy Command Line Interface (CLI), teams can perform code analysis locally, allowing them to access results without having to navigate to their Git provider or the Codacy web application. Supporting over 30 programming languages, Codacy is available in both free and enterprise versions, whether in the cloud or self-hosted, making it a versatile solution for various development environments. For more information and to explore its features, visit https://www.codacy.com/. Furthermore, adopting Codacy can significantly streamline your development process and enhance collaboration among team members.

Experience unparalleled code analysis speed with scanning that is 40 times quicker, ensuring developers receive prompt results after their pull request submissions. Achieve the highest level of accuracy with Qwiet AI, which boasts the best OWASP benchmark score—surpassing the commercial average by over threefold and more than doubling the second best score available. Recognizing that 96% of developers feel that a lack of integration between security and development processes hampers their efficiency, adopting developer-focused AppSec workflows can reduce mean-time-to-remediation (MTTR) by a factor of five, thereby boosting both security measures and developer efficiency. Additionally, proactively detect unique vulnerabilities within your code before they make it to production, ensuring compliance with critical privacy and security standards such as SOC 2, PCI-DSS, GDPR, and CCPA. This comprehensive approach not only fortifies your code but also streamlines your development process, promoting a culture of security awareness and responsibility within your team.

Contemporary development teams are equipped to discover, rectify, and avert vulnerabilities across various domains, including source code, open-source libraries, secret management, and cloud configurations. They are also capable of detecting and addressing security weaknesses within their applications. The implementation of continuous security scanning accelerates the deployment of features while minimizing cycle durations. Our sophisticated system significantly reduces false positives, ensuring that you are only alerted to pertinent security concerns. Regularly scanning software across all product lines enhances overall security. GuardRails seamlessly integrates with popular Version Control Systems like GitLab and GitHub, streamlining security processes. It intelligently selects the most appropriate security engines based on the programming languages detected in a repository. Each security rule is meticulously designed to assess whether it presents a significant security threat, which effectively decreases unnecessary alerts. Additionally, a proactive system has been created to identify and minimize false positives, continuously evolving to enhance its accuracy. This commitment to precision not only fosters a more secure development environment but also boosts the confidence of the teams involved.

Effortlessly accessible and requiring no installation, you can simply download SonarQube for IDE (formerly known as SonarLint) from your favorite IDE marketplace and continue coding while it takes care of everything else. In contrast to traditional linting tools that often bring added complexity, like specific utilities for various programming languages or elaborate setup requirements, SonarQube for IDE provides a cohesive solution to manage your Code Quality and Code Security issues. It features an extensive selection of language-specific rules aimed at identifying Bugs, Code Smells, and Security Vulnerabilities in real time as you code. From spotting hazardous regex patterns to validating adherence to coding guidelines, SonarQube for IDE serves as a dependable ally in your mission for impeccable code. This innovative tool keeps any mistakes within your line of sight, allowing you to understand, promptly rectify, and learn from them efficiently, which ultimately contributes to your growth as a developer over time. By integrating SonarQube for IDE into your workflow, you not only uphold the integrity of your code but also encourage ongoing enhancements in your software development practice. Consequently, it establishes a supportive environment for continuous learning and improvement within your coding journey.

Cut down the time needed for static code analysis from thousands of seconds to mere minutes. Security flaws can be addressed across numerous repositories swiftly, transforming the remediation process into a matter of moments. Moderne streamlines code-remediation tasks, empowering developers to generate increased business value on a daily basis. It enables the automation of extensive, safe changes to codebases that enhance quality, security, cost-efficiency, and overall code integrity. Effectively manage the dependencies within your software supply chain to ensure that your software remains consistently up-to-date. Automatically eliminate code smells without the disruptive scanning associated with traditional SAST or SCA tools, guaranteeing that you always work with high-quality code. This marks the final shift in securing your applications. As modern applications inevitably gather technical debt, they comprise multiple codebases and software ecosystems that incorporate bespoke, third-party, and open-source code. The growing complexity of software development has made the task of maintaining your code increasingly challenging and intricate. Thus, adopting an automated solution becomes essential for keeping pace with these evolving demands.

Identify vulnerabilities in your codebase with CodeQL, a top-tier semantic analysis tool designed for code evaluation. CodeQL allows you to analyze code as data, facilitating the creation of queries that can detect every variant of a security flaw, ultimately ensuring its complete eradication. By disseminating your discoveries, you can aid others in this essential endeavor. This powerful tool is freely available for both research initiatives and open source projects. With CodeQL seamlessly integrated into Visual Studio Code, you can run actual queries against popular open source codebases, witnessing firsthand how effectively it can highlight poor coding practices and identify similar issues throughout the entire codebase. Additionally, you have the flexibility to construct your own CodeQL databases for any project adhering to an OSI-approved open source license. It is crucial to understand that GitHub CodeQL is limited to application on codebases that are either released under an OSI-approved open source license, used for academic purposes, or leveraged to create CodeQL databases for automated analysis. To initiate your journey, simply download and incorporate the relevant CodeQL database into VS Code, or generate a CodeQL database via the command-line interface, which will significantly enhance your code's security. By utilizing CodeQL, you not only bolster your own project but also contribute to fostering a more secure coding landscape for the entire developer community. This collaborative effort ultimately leads to greater code quality and a safer environment for all.

Begin utilizing codebeat to effortlessly track every quality alteration in your GitHub, Bitbucket, GitLab, or self-hosted repositories. With codebeat, you gain the advantage of automated code assessments that support a diverse array of programming languages. This tool not only aids in prioritizing issues but also helps you identify quick wins for your web and mobile applications. Furthermore, codebeat offers a robust team management system designed for both organizations and open-source contributors. You can assign different access levels and quickly reassign team members across projects, making it a perfect fit for teams of any size, whether they are small startups or larger enterprises. By incorporating codebeat into your workflow, you can significantly improve collaboration and optimize your development processes, ultimately leading to better software quality. Embracing this tool can also foster a culture of continuous improvement within your team.

Brakeman is a dedicated security scanner tailored for Ruby on Rails applications. Unlike numerous other web security scanning tools that often depend on runtime analysis, Brakeman directly examines the source code, which removes the necessity of setting up the entire application environment for its use. Upon completion of the scan, Brakeman produces a detailed report highlighting any identified security vulnerabilities. There is no need for additional setup or configuration after installation; users simply run the tool. Given that it only requires access to the source code, Brakeman can be employed at any stage of the development cycle, allowing developers to create a new application using the command rails new and instantly evaluate it for security issues. Additionally, because Brakeman bypasses the need to crawl websites for discovering all their pages, it provides more extensive coverage by detecting potential problems even in inactive pages. Essentially, Brakeman is equipped to identify security flaws before they can be exploited by malicious actors. Specifically designed for Ruby on Rails applications, Brakeman effectively checks configuration settings against recognized best practices, which helps to ensure a strong security posture. This focused methodology renders Brakeman an indispensable asset for developers who prioritize the security and integrity of their projects. Its ability to assess applications early in the development process further enhances its value, allowing for proactive measures to be taken before deployment.

The Secure Programming Group within the Department of Computer Science at the University of Virginia is charged with both the creation and continual enhancement of Splint, a static analysis tool. Leading this initiative is David Evans, who is also the primary developer of the project. The initial concept of memory bounds checking was introduced by David Larochelle, while University of Virginia students such as Chris Barker, David Friedman, Mike Lanouette, and Hien Phan made notable contributions to the project's advancement. Splint is essentially an evolution of LCLint, a tool that emerged from a collaborative research project involving the Massachusetts Institute of Technology and Digital Equipment Corporation's System Research Center. David Evans also played a pivotal role as the chief designer and developer of LCLint. The foundational idea for a static checking tool that could pinpoint inconsistencies between LCL specifications and their C implementations was conceived by John Guttag and Jim Horning. Their expertise and innovative ideas were instrumental in shaping both LCLint and its successor, Splint, thereby establishing a strong framework for developing tools that significantly improve software reliability and security. This collaborative effort highlights the importance of interdisciplinary teamwork in addressing complex programming challenges.

RuboCop functions as both a linter and a formatter specifically designed for Ruby, following the widely accepted Ruby Style Guide embraced by the community. Its extensive customization options empower users to adjust numerous features via configuration settings. In practical terms, RuboCop supports almost every conceivable coding style. In addition to pinpointing problems within your code, it can also autonomously resolve certain issues. RuboCop comes loaded with features that surpass standard linter capabilities, establishing itself as a robust tool for developers working in Ruby. It is compatible with all primary Ruby versions and is able to automatically correct many detected coding errors. Furthermore, it offers advanced code formatting options, multiple output formats suitable for both interactive environments and integration with various tools, and the ability to set different configurations for distinct parts of your codebase. Users can also opt to disable specific checks for certain files or sections, significantly improving its practicality. The blend of versatility and comprehensive functionality solidifies RuboCop's role as an essential resource for ensuring high code quality in Ruby projects, making it a preferred choice among developers.

Ozcode significantly enhances the debugging process within Visual Studio. It enables developers to swiftly pinpoint the underlying issues in .NET applications and efficiently resolve them. This robust tool provides the capability to analyze your code thoroughly and visualize it down to intricate details. As a result, debugging becomes far simpler than one might have ever anticipated. With Ozcode, developers can spend less time troubleshooting and more time focusing on building innovative solutions.