Codacy for Python: Code Quality and Static Analysis

Codacy's Python analysis suite leverages multiple tools—Pylint, Bandit, Prospector, and Radon—to provide comprehensive coverage across various aspects of code quality, security, complexity, and maintainability. Here’s a detailed breakdown of each tool's role within Codacy:

Pylint: Comprehensive Static Analysis

• Checks: Syntax errors, undefined names, duplicate imports, deprecated modules, etc.
• Pros:
  • Extensive set of checks that cover both style and structural issues.
  • Customizable through configuration files like .pylintrc.
• Cons:
  • Can generate false positives due to its broad scope.

Bandit: Security Analysis

• Checks: Identifies common security vulnerabilities such as hardcoded secrets, insecure hashing algorithms, improper use of subprocesses, etc.
• Pros:
  • Focuses specifically on security-related issues.
  • Provides actionable insights for improving code security.
• Cons:
  • Limited to intra-file analysis; does not perform cross-module data flow analysis.

Prospector: Additional Static Analysis

• Checks:
  • pyflakes (undefined names, unused imports)
  • pycodestyle (style guide adherence

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