Codacy

Freemium

Automated code quality and security analysis platform that reviews pull requests, enforces coding standards, and tracks technical debt.

4.0
out of 5.0 · 36+ reviews
Category Coding
Platform Web
Website codacy.com

Overview

Codacy is an automated code quality and security analysis platform that integrates directly into development workflows. It reviews every pull request for code quality issues, security vulnerabilities, code coverage, and coding standard violations across 40+ programming languages.

The platform provides detailed dashboards that track technical debt, code complexity, and quality trends over time. Teams can define custom coding standards and enforce them automatically, ensuring consistent code quality across the entire organization.

Codacy is best suited for engineering teams that want automated code review as part of their CI/CD pipeline. It integrates with GitHub, GitLab, Bitbucket, and supports both cloud-hosted and self-hosted deployment options.

Pricing

Starter
Free
  • Free for open-source projects and small teams up to 2 committers
  • Basic code quality analysis
Professional
$15 /mo
  • Advanced code quality features, custom coding standards, team management, detailed analytics, and priority support
Enterprise
Custom pricing
  • Self-hosted deployment, dedicated support, advanced security scanning, SSO, and compliance features
  • Volume discounts for 50+ committers

Pros & Cons

Pros

Supports 40+ programming languages with automatic detection and analysis
Pull request integration catches issues before code reaches the main branch
Technical debt tracking helps teams visualize and prioritize code improvements
Free tier for open-source projects encourages community code quality standards
Custom coding standards let teams enforce their specific style guidelines automatically

Cons

Per-committer pricing becomes expensive quickly for larger engineering teams
False positive rate for security scanning can be high on certain codebases
Self-hosted Enterprise setup requires significant infrastructure and maintenance effort
Initial configuration and rule tuning takes time to reduce noise in reports
Limited AI-powered auto-fix capabilities compared to newer code analysis tools

Reviews