Best Static Code Analysis Software

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.

SonarQube Server is a self-managed solution for continuous code quality inspection that helps development teams identify and fix bugs, vulnerabilities, and code smells in real-time. It provides automated static code analysis for a variety of programming languages, ensuring the highest quality and security standards are maintained throughout the development lifecycle. SonarQube Server integrates seamlessly with existing CI/CD pipelines, offering flexibility for on-premise or cloud-based deployment. With advanced reporting features, it helps teams manage technical debt, track improvements, and enforce coding standards. SonarQube Server is ideal for organizations seeking full control over their code quality and security without compromising on performance.

Snyk is the leader in developer security. We empower the world’s developers to build secure applications and equip security teams to meet the demands of the digital world. Our developer-first approach ensures organizations can secure all of the critical components of their applications from code to cloud, leading to increased developer productivity, revenue growth, customer satisfaction, cost savings and an overall improved security posture. Snyk’s Developer Security Platform automatically integrates with a developer’s workflow and is purpose-built for security teams to collaborate with their development teams. Snyk is used by 1,200 customers worldwide today, including industry leaders such as Asurion, Google, Intuit, MongoDB, New Relic, Revolut and Salesforce. Snyk is recognized on the Forbes Cloud 100 2021, the 2021 CNBC Disruptor 50 and was named a Visionary in the 2021 Gartner Magic Quadrant for AST.

Velocity provides in-depth, contextual analytics that equip engineering leaders to support stuck team members, address team roadblocks, and streamline engineering processes. Actionable metrics for engineering leaders. Velocity turns data from commits and pull requests into the insights you need to make lasting improvements to your team’s productivity. Quality: Automated code review for test coverage, maintainability and more so that you can save time and merge with confidence. Receive automated code review comments on your pull requests. Our 10-point technical debt assessment provides real-time feedback, so you can save time and focus on what matters in your code review discussions. Get test coverage right, every time. See coverage line by line within diffs. Never merge code without sufficient tests again. At a glance, identify frequently changed files that have inadequate coverage and maintainability issues. Track your progress against measurable goals, day-by-day.

Amazon CodeGuru is a developer tool powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application’s most expensive lines of code. Integrate Amazon CodeGuru into your existing software development workflow where you will experience built-in code reviews to detect and optimize the expensive lines of code to reduce costs. Amazon CodeGuru Profiler helps developers find an application’s most expensive lines of code along with specific visualizations and recommendations on how to improve code to save money. Amazon CodeGuru Reviewer uses machine learning to identify critical issues and hard-to-find bugs during application development to improve code quality.

CodeScene is a code analysis, visualization, and reporting tool. Cross reference contextual factors such as code quality, team dynamics, and delivery output to get actionable insights to effectively reduce technical debt and deliver better code quality. We enable software development teams to make confident, data-driven decisions that fuel performance and developer productivity. Supporting 28+ programming languages, CodeScene also offers an automated integration with GitHub, BitBucket, Azure DevOps or GitLab pull requests to incorporate the analysis results into existing delivery workflows. Automate your code reviews, get early warnings and recommendations about complex code before merging it to the main branch and set quality gates to trigger in case your code health declines.

Get on-demand code reviews from vetted, expert engineers enhanced by AI. Add senior engineers to your team every time you open a pull request. Ship better, more secure code faster with AI-assisted code reviews. Whether you're a development team of 5 or 5,000, PullRequest will supercharge your existing code review process and adapt to your needs. Our reviewers will help your team catch security vulnerabilities, find hidden bugs, and fix performance issues before they reach production. All of this is done within your existing tools. Expert human reviewers enhanced by an AI analysis to pinpoint high-risk security hotspots. Intelligent static analysis combining open source tools and proprietary AI shown to reviewers for deeper insights. Save your senior staff some time. Make meaningful progress resolving issues and improving code while other members of your team are busy building.

Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/

Summarize pull request changes concisely to help the team quickly understand their impact. Detect and auto-fix code quality issues and anti-patterns for 30+ languages. Scan every code change for OWASP, CWE, SANS, and NIST vulnerabilities, and fix them. Scan every PR against over 10,000 policies to detect infrastructure as code issues and understand their impact. Identifies and protects sensitive information in your codebase, including API keys, tokens, and other secrets. Identify potential issues in code logic, and data structures, and understand their impact. Get a Code Health Dashboard and gain instant visibility into your code and infrastructure's health. Identify high-severity issues, understand their impact, and fix them. Receive weekly executive reports on new issues found, fixed, and pending resolution. Your pair programmer that will help you find and auto-fix over 5000+ code quality issues and security vulnerabilities without leaving the IDE.

Enterprise copilots and low-code/no-code development platforms make it easier and faster than ever to create powerful business AI applications and bots. Generative AI makes it easier and faster for users of all technical backgrounds to spur innovation, automate mundane processes, and craft efficient business processes. Similar to the public cloud, AI and low-code platforms secure the underlying infrastructure, but not the resources or data built on top. As thousands of apps, automation, and copilots are built, prompt injection, RAG poisoning, and data leakage risks dramatically increase. Unlike traditional application development, copilots and low-code do not incorporate dedicated time for testing, analyzing, and measuring security. Unlock professional and citizen developers to safely create the things they need while meeting security and compliance standards. We’d love to chat with you about how your team can unleash copilots and low-code development.

Jedi is a static analysis tool for Python that is typically used in IDEs/editors plugins. Jedi has a focus on autocompletion and goto functionality. Other features include refactoring, code search and finding references. Jedi has a simple API to work with. There is a reference implementation as a VIM-Plugin. Autocompletion in your REPL is also possible, IPython uses it natively and for the CPython REPL you can install it. Jedi is well tested and bugs should be rare. A Script is the base for completions, goto or whatever you want to do with Jedi. The counter part of this class is Interpreter, which works with actual dictionaries and can work with a REPL. This class should be used when a user edits code in an editor. Most methods have a line and a column parameter. Lines in Jedi are always 1-based and columns are always zero based. To avoid repetition they are not always documented.

Symbiotic Security is revolutionizing cybersecurity by integrating real-time detection, remediation, and training directly into developers' Integrated Development Environments (IDEs). This approach enables developers to identify and address vulnerabilities as they code, fostering a security-conscious development culture and reducing costly late-stage fixes. The platform offers contextual remediation suggestions and just-in-time learning experiences, ensuring developers receive targeted training precisely when needed. By embedding security measures throughout the software development lifecycle, Symbiotic Security aims to prevent vulnerabilities from arising and to address existing ones effectively. This holistic approach not only enhances code quality but also streamlines workflows, eliminating security backlogs and promoting seamless collaboration between development and security teams.