Python

See Also

• See how to customize Python rules.
• Set up Python code coverage. Static and semantic analysis for Python codebases (backend services, data science workflows, web frameworks).

Features

• Pylint integration (lint + style + smells)
• Security pattern detection
• Framework heuristics (Django, Flask)

Supported Versions

• Python 2.7 (legacy – limited rule set)
• Python 3.6+

Framework & Domain Support

Django

• Model validation patterns
• View / endpoint security
• Template safety (injection avoidance)
• ORM best practices

Flask

• Route security
• Request handling robustness
• Template injection avoidance

Data Science

• NumPy / Pandas usage patterns
• scikit‑learn pipeline practices
• TensorFlow / PyTorch optimization hints

Analysis Capabilities

Security

• SQL injection risks
• Command injection patterns
• Path traversal checks
• Insecure deserialization detection

Code Quality

• PEP 8 style conformance
• Complexity insights
• Docstring coverage
• Import hygiene / organization

Performance

• Algorithmic efficiency hints
• Memory usage indicators
• I/O optimization suggestions

Coverage Support

• Python Code Coverage
• coverage.py report ingestion
• pytest‑cov support

Related Documentation

• Python Coverage