Best Code Review Tools in China

Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL, and PowerBuilder. Identify code dependencies to modify your code without breaking your application. Scan your code to improve the security, performance, and quality. Perform Impact analysis to Identify breaking changes. Automatically scan your code to detect and fix security vulnerabilities, bugs and maintenance Issues. Implement continuous code inspection Understand the inner workings of your code with call graphs, code diagrams, CRUD Matrix and Object Dependency Matrix (ODM). Automatically generate an HTML Source Code documentation. Explore your code exploration with hyperlinks Compare applications, databases or pieces of code. Improve maintainability. Clean up code. Comply with dev standards. Analyze and Improve DB code performance: Find slow objects and SQL queries, Optimize a slow object, a Chain of calls a slow SQL, Get a query Execution Plan. And much more.

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.

Software projects tend to be complex and there is the law of entropy making it more complex all the time. The developers easily get lost in the dependency network and tend to create designs that does not stand time well. Softagram provides automatically illustrations on how the dependencies are changing. Automated integration works so that pull requsts (in GitHub, Bitbucket, Azure DevOps), merge requests (in GitLab) and patch sets (in Gerrit) are decorated with a dependency analysis report that pops up as a comment in the tool you already use. The analysis also covers other aspects such as open source licenses and quality. It can be tailored for your needs. Software audits can also be efficiently performed by using Softagram analysis together with Softagram Desktop app designed for advanced software understanding and auditing usage.

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.

Maximize your throughput and only release clean code SonarQube Cloud (formerly SonarCloud) automatically analyzes branches and decorates pull requests. Catch tricky bugs to prevent undefined behavior from impacting end-users. Fix vulnerabilities that compromise your app, and learn AppSec along the way with Security Hotspots. With just a few clicks you're up and running right where your code lives. Immediate access to the latest features and enhancements. Project dashboards keep teams and stakeholders informed on code quality and releasability. Display project badges and show your communities you're all about awesome. Code Quality and Code Security is a concern for your entire stack, from front-end to back-end. That’s why we cover 24 languages including Python, Java, C++, and many others. Transparency makes sense and that's why the trend is growing. Come join the fun, it's entirely free for open-source projects!

DeepSource helps you automatically find and fix issues in your code during code reviews, such as bug risks, anti-patterns, performance issues, and security flaws. It takes less than 5 minutes to set up with your Bitbucket, GitHub, or GitLab account. It works for Python, Go, Ruby, and JavaScript. DeepSource covers all major programming languages, Infrastructure-as-Code, secrets detection, code coverage, and more. You won't need any other tool to protect your code. Start building with the most sophisticated static analysis platform for your workflow and prevent bugs before they end up in production. Largest collection of static analysis rules in the industry. Your team's central hub to track and take action on code health. Put code formatting on autopilot. Never let your CI break on style violations. Automatically generates and applies fixes for issues in a couple of clicks.

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/

Get a deeper understanding of your software with Embold's profound analysis and intuitive visuals. Visually comprehend the size and quality of every component and fully understand the state of your software at a glance. Understand issues on a component level with rich annotations and see where they are located in your code. View and navigate through all ingoing and outgoing dependencies of your software components and learn how they influence each other. Quickly understand how to refactor and split complex components by using our innovative partitioning algorithms. The EMBOLD SCORE, calculated from four dimensions, tells you which components have the biggest impact on the overall quality and need to be solved first. Analyze your code’s structural design with the help of our unique set of anti-patterns on a class, functional, and method level. Embold utilizes several metrics ranging from cyclomatic complexity to coupling between objects to measure the quality of software systems.

Quickly identify cross-code dependencies and navigate between files and folders. With insights to improve your understanding of the codebase and guide onboarding, planning, and reviews. Auto-generated, self-updating software architecture diagrams that sync to the codebase as your code evolves. With features to help you understand how files and folders are connected, see how a change fits into the larger architecture, and more. CodeSee Maps are automatically generated and updated every time a code change is merged, so you never have to worry about manually refreshing your Map. Using the Maps Insights panel, you can quickly visualize the most active areas of the codebase and get details on individual files and folders, including their age and how many lines of code they represent. Create visual walkthroughs of your code, using Tours to communicate ideal code paths, user flows, and more—and Tour Alerts will help you to ensure your Tours are always up to date.

Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress.

CodeSonar employs a unified dataflow and symbolic execution analysis that examines the computation of the complete application. By not relying on pattern matching or similar approximations, CodeSonar's static analysis engine is extraordinarily deep, finding 3-5 times more defects on average than other static analysis tools. Unlike many software development tools, such as testing tools, compilers, configuration management, etc., SAST tools can be integrated into a team's development process at any time with ease. SAST technologies like CodeSonar simply attach to your existing build environments to add analysis information to your verification process. Like a compiler, CodeSonar does a build of your code using your existing build environment, but instead of creating object code, CodeSonar creates an abstract model of your entire program. From the derived model, CodeSonar’s symbolic execution engine explores program paths, reasoning about program variables and how they relate.

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.

Veracode offers a holistic, scalable way to manage security risk across your entire application portfolio. We are the only solution that can provide visibility into application status across all testing types, including SAST, DAST, SCA, and manual penetration testing, in one centralized view.