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Codacy vs Sourcery

CodacySourcery

Bottom line: Codacy for engineering teams enforcing quality; Sourcery for python-heavy teams.

CodacyCodacy

Automated code quality and security review across 40+ languages

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SourcerySourcery

AI code review and quality for Python and beyond

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Votes00
PricingFreemiumFreemium
CategoryCode ReviewCode Review
Tags
code-qualitystatic-analysissastsecuritypull-request
code-reviewcode-qualitypythonrefactoringdeveloper-tools
Best for
  • Engineering teams enforcing quality
  • Security-conscious codebases
  • Multi-language projects
  • Python-heavy teams
  • Developers wanting in-editor quality feedback
  • Teams enforcing custom rules
Pros
  • Covers 40+ languages
  • Aggregates many analysis engines
  • Integrates with major Git providers
  • AI review and guardrails added in 2026
  • Free for open-source projects
  • Deep Python rule set (200+ built-in rules)
  • Real-time in-editor feedback across major IDEs
  • Custom rules via .sourcery.yaml
  • SOC 2 certified with zero-retention option
  • Bring-your-own-LLM support
Cons
  • Can surface noisy findings to tune
  • Per-user pricing adds up for big teams
  • Configuration depth has a learning curve
  • AI features still maturing
  • Some engines overlap with existing tools
  • Rule depth outside Python is more limited
  • Smaller, seed-stage footprint than leaders
  • Pricing figures vary across sources
  • No self-hosted option noted
  • Best value skewed toward Python teams

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