CodeFactor
Automated code review for every commit and pull request
Founded
N/A
Starting Price
$0
Category
Developer Tools
Last updated April 27, 2026
About CodeFactor
CodeFactor is an automated code review tool that instantly analyzes every GitHub, Bitbucket, or GitLab commit and pull request. It detects code quality issues, style violations, complexity problems, and security vulnerabilities across 25+ programming languages, providing actionable feedback within seconds.
Pros & Cons
Pros
- Completely free for open-source projects, students, and nonprofits
- Supports 25+ programming languages in a single tool
- Zero installation required - connects directly to GitHub, Bitbucket, or GitLab
- Instant feedback on every commit within seconds, not minutes
- Auto-fix capability reduces manual remediation effort
Cons
Key Features
Instant Code Review
Automatically reviews every commit and pull request with actionable feedback in seconds
Multi-Language Support
Supports 25+ languages including Python, JavaScript, TypeScript, C#, Java, Go, Ruby, Swift, Kotlin, and more
Static Analysis
Detects code quality issues, complexity, duplication, code churn, and performance problems
Security Scanning
Identifies security vulnerabilities and potential attack vectors in your codebase
Auto-Fix
Automatically fix certain reported issues on-demand or through automated pull requests
Customizable Rules
Customize analysis rules, get refactoring tips, and ignore irrelevant issues for your project
PR Integration
Review status and code suggestions appear directly within GitHub, Bitbucket, or GitLab pull requests
Pricing
Community
$0
- Unlimited public repos
- All analysis features
- Unlimited users
- Free for students & nonprofits
Pro MAX5
$19/month
Best For
Pull Request Quality Gates
Automatically review code quality on every PR to maintain codebase standards before merging
Open Source Project Maintenance
Free automated code review for open-source projects to help maintainers review contributions
Security Vulnerability Detection
Scan codebases for security issues and potential vulnerabilities as part of the development workflow
