DeepSource
AI code review and security analysis
DeepSource is an AI-powered code review and static analysis platform that detects over 2,000 issue types across 16 programming languages with a sub-5% false positive rate. It combines comprehensive static analysis with AI-generated automatic fixes and security scanning aligned with OWASP Top 10 and SANS Top 25 standards.
Key Capabilities
DeepSource provides five-dimension PR report cards that evaluate code quality across multiple criteria. Autofix AI generates working code fixes for detected issues, reducing manual remediation time. Security scanning is aligned with OWASP Top 10 and SANS Top 25 standards for industry-standard vulnerability detection. The platform supports 16 GA languages with deep framework-level analysis and includes OSS Dependency Scanning for vulnerability and license compliance checks across package manifests. With over 2,000 detectable issue types and a sub-5% false positive rate, DeepSource prioritizes actionable findings.
Who Should Use DeepSource
DeepSource is ideal for development teams, open-source maintainers, and engineering organizations that want automated code quality and security analysis integrated into their review workflow. Its free tier for open-source projects makes it particularly attractive for the open-source community.
Getting Started
Sign up at deepsource.com and connect your GitHub, GitLab, or Bitbucket repository. DeepSource will automatically analyze your codebase and surface issues with severity ratings. Review the five-dimension report card on each pull request and apply Autofix suggestions to resolve issues with a single click. A 14-day free trial is available for the full platform.
Pricing & Accessibility: DeepSource is free for open-source projects. The Team plan costs $30/user/month and includes AI Review with $120 annual credit per user. Additional AI usage is available at pay-as-you-go rates. OSS Dependency Scanning includes 3 targets with $8 per additional target/month.
Why Consider DeepSource: DeepSource combines industry-leading accuracy with a sub-5% false positive rate, AI-powered automatic fixes, and comprehensive security scanning, making it one of the most actionable code analysis platforms available with a generous free tier for open-source.
Pros
- Sub-5% false positive rate ensures findings are actionable
- Autofix AI generates working code fixes automatically
- Free for open-source projects with no limitations
- Supports 16 programming languages with deep framework analysis
- Security scanning aligned with OWASP Top 10 and SANS Top 25
Cons
- Team plan at $30/user/month can be expensive for large teams
- AI Review credits require pay-as-you-go spending beyond included allotment
- Fewer language integrations than some competitors
Who is this for?
Automated code quality review on pull requests, security vulnerability detection aligned with industry standards, open-source project code quality maintenance, dependency scanning for license compliance, reducing code review burden with AI-powered automatic fixes
Frequently Asked Questions about DeepSource
Is DeepSource free for open-source projects?
Yes, DeepSource is completely free for open-source projects. The free tier includes full access to static analysis across all supported languages, security scanning, and the code quality dashboard without any usage limits.
What is the Autofix AI feature?
Autofix AI automatically generates working code fixes for issues detected by DeepSource. When an issue is found, you can apply the AI-generated fix with a single click rather than manually writing the correction. The Team plan includes $120 in annual Autofix credits per user.
How accurate is DeepSource?
DeepSource maintains a sub-5% false positive rate across its 2,000+ issue detection rules. This means the vast majority of flagged issues are genuine problems that need attention, reducing the noise and frustration often associated with static analysis tools.
Pricing
freemium
$30/user/mo
Free tier: Free for open-source projects, unlimited usage
Details
APIYes
Open SourceNo
CollaborationYes
LanguagesPython, JavaScript, TypeScript, Go, Ruby, Java, Rust, C#, PHP, Kotlin, Scala, Swift, and more (16 total)
Learning CurveEasy
Integrations
GitHubGitLabBitbucketVS CodeSlack
