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Python project analyzer and visualization tool

Project description

PyFlowMapper

Publish Python Package

PyFlowMapper is a lightweight Python static-analysis tool that helps you understand how functions connect and how data flows across your codebase — without running your code.

It is designed for developers who want fast architectural insight into new or existing Python projects.

What It Does

  • Reads Python source files using AST (no execution)
  • Detects which functions call which others
  • Tracks return-value–based data flow between functions
  • Generates clear Mermaid diagrams
  • Works with Python 3.12+
  • Automatically ignores virtual environments

Quick Install

# Clone and install
git clone https://github.com/ArunKoundinya/py-flow-mapper.git
cd py-flow-mapper
pip install -e .

# Or install directly
pip install py-flow-mapper

How to Use

Analyze Your Project

pyflow analyze /path/to/your/project

This creates a project_meta.json file with all the analysis results.

Create Diagrams

pyflow diagram /path/to/your/project/project_meta.json

See Project Structure

pyflow structure /path/to/your/project

Shows a clean tree view of your project folders and files.

What You Get

Metadata File — project_meta.json

Contains:

  • List of all functions and where they are
  • Which functions call which others
  • How data moves between functions
  • All imports and dependencies

One Types of Diagram

  • Detailed Flow Graph - Shows modules and data flow

Requirements

  • Python 3.12 or higher

Common Commands

Command What it does
pyflow analyze /path/to/project Analyze a project
pyflow diagram /path/to/project/project_meta.json Make diagrams
pyflow structure /path/to/project Show folder structure
pyflow --help Get help
pyflow version Check version

Features

✅ Works with any Python 3.12+ project
✅ No need to run your code
✅ Creates visual diagrams
✅ Shows data flow between functions
✅ Handles imports correctly
✅ Excludes virtual environments automatically

Tips

  • Start with a small project to see how it works
  • Use --entry-point if your main file isn't main.py
  • View diagrams in VS Code or GitHub for best results
  • The tool ignores venv/, .venv/, and other common exclude folders

Full Documentation

Full documentation (including examples and architecture diagrams) is available in the docs/ folder and built using Quarto.

⚠ Limitations

PyFlowMapper uses static analysis. It may not fully resolve:

  • Runtime imports
  • Heavy metaprogramming
  • Highly dynamic call patterns

Despite this, it provides a strong and reliable architectural baseline for most Python projects.

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