Lightweight Python static analysis with practical reports.
py-code-analyzer-lite is a lightweight CLI tool for Python code inspection built around practical output, readable reports, and simple workflow integration.
The project is designed for users who want a straightforward analysis tool that helps detect issues, organize results, and improve review of Python code without unnecessary complexity.
This tool focuses on:
- lightweight Python code analysis
- practical CLI usage
- readable TXT and JSON reports
- integration with Ruff
- workflow-friendly output
It is intended as a simpler and more accessible version of a broader tooling direction focused on developer productivity and code review.
I wanted to create a compact tool that keeps the analysis workflow simple while still producing useful output.
Instead of building something overloaded, the goal was to keep it practical:
- run analysis quickly
- generate useful reports
- make results easier to inspect
- support real code review workflows
- provide lightweight static analysis for Python projects
- generate practical reports in simple formats
- integrate Ruff-based checks into a cleaner workflow
- keep the tool simple, usable, and easy to present
- CLI-based workflow
- Python-focused static analysis
- TXT report generation
- JSON report generation
- Ruff integration
- lightweight project structure
- Python
- Ruff
- CLI workflows
- report generation
Released / actively maintained as a public portfolio project
This project is part of a broader public portfolio focused on:
- Python automation
- developer tools
- code analysis
- practical technical workflows
- clearer documentation
- improved examples
- stronger project presentation
- expanded report polish
- continued refinement
- ispravko – broader Python code analysis direction
- portfolio website – public presentation of projects
- other automation and workflow-based tools
Nemanja Stojanović
IT Engineer focused on Python automation, web scraping, IT support, and developer tools.
This repository represents a lightweight and practical approach to Python code analysis, built as part of a larger portfolio of useful technical tools.