Best Static Code Analysis Tools with Python Capabilities

SonarQube helps developers continuously improve the quality and security of both AI-generated and human-written code. It addresses key areas including: - Code Quality: Ensuring all code meets high standards. - Code Security: Detecting security risks in code and open source. - Code Remediation: Fixing issues quickly and modernizing older code using AI. - Code Orchestration: Protecting the software development lifecycle with monitors and controls. The SonarQube solution is offered in three forms: SonarQube Server, SonarQube Cloud, and SonarQube for IDE SonarQube Server SonarQube Server is a self-managed static code analysis tool that ensures all developer-written and AI-generated code meets the highest coding standards. By integrating with the top DevOps platforms in the CI/CD pipeline, SonarQube Server continuously inspects projects across multiple programming languages, providing immediate quality and security feedback seamlessly within the developer workflow. SonarQube Server’s quality gates become part of the build pipeline to protect codebase health, displaying pass/fail results and preventing substandard code from reaching production. At its core, SonarQube Server includes a static code analyzer that identifies bugs, security vulnerabilities, hidden secrets, and code smells, uncovering issues early in the SDLC and presenting them in a clear, helpful way for developers to resolve. Developers are guided through issue resolution with precise AI-driven fixes, including details on why the issue is a problem, fostering a culture of continuous improvement and education. SonarQube Server’s powerful real-time dashboards provide actionable insights to dev teams and leadership for monitoring the progress of code health and quality across multiple projects in your portfolio. With over 6,000 rules, SonarQube Server analyzes 30+ of the most popular programming languages, including dozens of frameworks, and the leading infrastructure as code (IaC) platforms with high accuracy and low false positives. SonarQube Cloud SonarQube Cloud is a cloud-based alternative to the SonarQube Server platform. It is a fully managed SaaS solution, improving human-developed and AI-assisted code at scale, offering continuous code quality and security analysis as a service. SonarQube Cloud integrates seamlessly with popular version control and CI/CD platforms such as GitHub, Bitbucket, GitLab, and Azure DevOps. It provides static code analysis to identify and help remediate issues such as bugs and security vulnerabilities. SonarQube Cloud enables developers to receive immediate feedback on their code within their development environment, facilitating the maintenance of high-quality code standards, and promoting a culture of continuous improvement in software development projects. It helps produce software that is secure, reliable, and maintainable. SonarQube for IDE SonarQube for IDE (formerly Sonarlint), a core component of the SonarQube solution, is a free and open-source IDE plugin, that is a developer's first line of defense to find and fix coding issues in real time. SonarQube for IDE resolves issues in code and provides rich contextual guidance to help developers improve their skills while enhancing their productivity. Supporting over 25 languages and the most popular IDEs, SonarQube for IDE leverages over 5,000 language-specific Clean Code rules to instantly highlight common coding issues that may lead to, bugs, and vulnerabilities.

Fortify on Demand (FoD) is a complete Application Security as a Service solution. It offers an easy way to get started with the flexibility to scale. In addition to static and dynamic, Fortify on Demand covers in-depth mobile app security testing, open-source analysis, and vendor application security management. False positives are removed for every test and test results can be manually reviewed by application security experts.

DeepSource is an all-in-one code health platform that equips organizations with everything they need to build maintainable and secure software while elevating the velocity of their software development cycle. - Guaranteed below 5% false-positive rate with highly accurate and fast static analyzers - Automated issue remediation with Autofix™️ - Code Issue and security reporting: OWASP Top 10, SANS Top 25, Code Coverage, and more - Self-hosted option with one-click installation and upgrades

Automate your code reviews and write faster code with Codiga Coding Assistant. Codiga proposes two products: 1. Automated Code Reviews on GitHub, GitLab, and Bitbucket 2. Smart Coding Assistant to help developers find and import safe and reliable code patterns directly in their IDE.

Embold supports developers and development teams by finding critical code issues before they become roadblocks. It is the perfect tool to analyze, diagnose, transform, and sustain your software efficiently. With the use of A.I. and machine learning technologies, Embold can immediately prioritize issues, suggest ways to best solve them, and re-factor software where necessary. Run it within your current Dev-Ops stack, on premise or in the cloud privately or publicly.

GuardRails is an end-to-end security platform that makes AppSec easier for both security and development teams. We scan, detect, and provide real-time guidance to fix vulnerabilities early. Trusted by hundreds of teams around the world to build safer apps, GuardRails integrates seamlessly into the developers’ workflow, quietly scans as they code, and shows how to fix security issues on the spot via Just-in-Time training. GuardRails commits to keeping the noise low and only reporting high-impact vulnerabilities that are relevant to your organization. GuardRails helps organizations shift security everywhere and build a strong DevSecOps pipeline, so they can go faster to market without risking security.

Pylint is a tool that checks for errors in Python code, tries to enforce a coding standard and looks for bad code smells.

Codecov is a code coverage tool.

codebeat is an automated review for web and mobile that gathers the results of static code analysis into a single, real-time report that gives all project stakeholders the information required to identify code smells, security holes and improve code quality.