Python Bandit: Static Security Analysis
Find potentially unsafe code patterns, investigate their context, and keep exceptions narrow and reviewable.
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12 articles on this pagepip-audit: Check Python Dependencies for Vulnerabilities
Compare resolved dependencies with known-vulnerability databases and turn findings into reviewable upgrades.
Python secrets: Generate Secure Tokens
Generate unpredictable recovery and confirmation tokens, store only a digest, and enforce expiration and one-time use.
Python contextvars: Safe Context in Async Code
Keep request IDs and other contextual data separated across concurrent tasks with explicit state restoration.
Python mypy: Adopt Static Typing Gradually
Introduce static checks module by module, prevent new gaps, and increase strictness without freezing an existing codebase.
coverage.py: Measure Python Test Coverage
Locate unexecuted paths without treating a percentage as a substitute for meaningful test scenarios.
Python tox: Test Across Multiple Versions
Reproduce tests, linting, and type checks in disposable environments before claiming support for multiple Python versions.
Python pipx: Install CLI Tools in Isolation
Give command-line applications their own environments instead of mixing dependencies with projects or system Python.
Python structlog: Structured JSON Logging
Emit searchable JSON events, bind request context, and keep credentials and personal data out of your logs.
Python SQLModel: Typed CRUD with FastAPI
Model a table, run CRUD in short sessions, and separate persisted data from your API public contracts.
Python Tenacity: Retries with Backoff and Limits
Retry transient failures with explicit limits, randomized waits, observability, and fast deterministic tests.
Python Typer: Build a Typed Command-Line Interface
Turn annotated functions into a maintainable CLI with generated help, validation, subcommands, and focused tests.