Security vulnerability review in GitHub
SonarCloud integration with GitHub code scanning helps you review and prioritize vulnerabilities directly from your repository during your code reviews.

SonarCloud for GitHub
Enable your team to deliver clean code consistently and efficiently with static analysis seamlessly integrated into GitHub.
Enhance your GitHub experience with SonarCloud and ensure only clean code will be added to the code base. With just a few clicks you're up and running right where your code lives.
Get instant code feedback directly inside your GitHub pull request and development branches.
Fail your GitHub pipelines when the quality of code doesn’t meet your defined requirements.
Review and prioritize issue remediation during code reviews directly from GitHub Security.
Configure multiple Quality Gates and receive project-labeled messages in your GitHub mono repository.
LoCs continuously analyzed
active projects
coding rules available
A GitHub account is all you need. Simply log in and your SonarCloud account is created.
Your organization - and all its members - is imported directly from GitHub. Same for all changes applied to it in the future.
Import your project in seconds and analysis will trigger automatically. No setup needed for most languages.
After minutes you have the first analysis results ready and you can start improving your code right away.
SonarCloud integration with GitHub code scanning helps you review and prioritize vulnerabilities directly from your repository during your code reviews.
Accelerate your code reviews and systematically detect common mistakes, tricky bugs and security vulnerabilities. Fix coding flaws while code is fresh in mind and only merge code that's clean - every time.
SonarCloud doesn't just find quality issues in your code, it also helps you quickly understand the problem along with contextual guidance on how to fix it. With SonarCloud in your corner, you'll learn as you code and improve your skills with every pull request!
Check your code and catch problems before you merge a pull request. Optionally fail your pipeline in case of any problems so dirty code doesn't slip into production. Deliver with confidence knowing that the code delivered by the team is clean and consistent.