Python Auto Formatter

The Python Auto Formatter provides deterministic, rule-based formatting for Python source code. It accepts a raw code snippet or an entire file, including multiple modules, and outputs a consistently styled version that adheres to a chosen standard, reducing stylistic variance across teams and preventing stylistic drift during refactors.
Conceptually it parses the abstract syntax tree, traverses nodes, applies indentation, line wrapping, and spacing rules, and then re-serializes the code while preserving semantics. It supports common conventions such as PEP 8-aligned line lengths, trailing whitespace removal, and consistent blank lines.
Users range from individual developers to code reviewers and large teams enforcing corporate style guides. Core benefits include faster code reviews, fewer nitpicky diffs, improved readability, and a trusted baseline for automated testing and continuous integration pipelines. It also reduces onboarding friction for new contributors.
Key features include configurable style profiles, per-project overrides, safe reformatting of comments, docstrings and multi-line strings, preservation of literal blocks, and an audit log of changes with before/after diffs. Common use cases are pre-commit formatting, batch reformatting of legacy code, and educational code normalization for curricula.
Operational considerations: it is designed to be deterministic, with unit tests validating formatting across representative code samples. In batch scenarios it can stream input to minimize memory usage, and it provides a dry-run mode to preview edits. Outputs are primarily code text, with optional diff data for review workflows.