python-linter

Run a Python static analysis check using Ruff lint and formatting verification to identify unused imports, style violations, and outdated patterns across your repository, producing a severity-grouped report of findings.

Checking Python code quality before a Streamlit dashboard release is best done by running a repo-wide Ruff audit that flags syntax errors, import-order issues, and likely bugs without applying fixes unless explicitly requested.

Ruff formatting checks do detect import hygiene issues in Python codebases by running ruff check alongside ruff format --check to identify unused symbols, import-order issues, and files requiring reformatting.

Group Python linting findings by severity by running a Ruff-based static audit that organizes detected code quality defects into critical, high, medium, and low buckets for fast and actionable triage.

You can audit Python code for modernization opportunities without applying automatic fixes by running Ruff lint and formatting checks that report outdated patterns and rule-based concerns without modifying files.

Ruff format check reports files needing reformatting in your Python repository because it verifies whether ruff format would alter them, flagging style inconsistencies and formatting deviations during the static quality audit.