swent 0.1.0

Software entropy measurement tool for Python projects

swent - Software Entropy Measurement Tool

swent analyzes Python projects to measure software entropy - a metric that quantifies code complexity, technical debt, and maintenance burden. Like other development tools (pytest, black, flake8), swent integrates into your development workflow to provide actionable feedback on code health.

Features

• 📊 Comprehensive Metrics: Analyzes multiple aspects of code quality

  • Cyclomatic complexity
  • Code duplication
  • File and function sizes
  • Dependency coupling
  • Documentation coverage
  • Test coverage integration
  • Code churn and change frequency

• 🎯 Single Entropy Score: Combines all metrics into one actionable number

• 🚦 CI/CD Integration: Fail builds when entropy exceeds thresholds

• 📈 Trend Analysis: Track entropy changes over time

• 🎨 Rich CLI Output: Beautiful, informative terminal displays

Installation

pip install swent

For development:

git clone https://github.com/yourusername/swent.git
cd swent
pip install -e ".[dev]"

Quick Start

# Analyze current directory
swent .

# Analyze with detailed metrics
swent --verbose /path/to/project

# Generate comprehensive report
swent --report /path/to/project

# Set custom threshold
swent --threshold 0.7 .

# Output as JSON for CI/CD pipelines
swent --json . > entropy.json

# Exclude patterns
swent --exclude "**/tests/*" --exclude "**/docs/*" .

# Generate configuration file
swent --init

Understanding Software Entropy

Software entropy measures how "disordered" or difficult to maintain your code has become. A lower score is better:

• 0.0 - 0.3: ✅ Excellent - Clean, maintainable code
• 0.3 - 0.6: ⚠️ Warning - Consider refactoring problem areas
• 0.6 - 1.0: ❌ Poor - High technical debt, needs attention

Example Output

╭─ Software Entropy Analysis ──╮
│ Total Entropy: 0.423        │
╰─────────────────────────────╯

        Summary Metrics        
┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓
┃ Metric               ┃ Value ┃
┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩
│ Total Files          │ 127   │
│ Total Lines          │ 15423 │
│ Average Complexity   │ 3.42  │
│ Code Duplication     │ 2.3%  │
│ Test Coverage        │ 87.5% │
│ Documentation        │ 64.2% │
│ Technical Debt       │ 18.5h │
└──────────────────────┴───────┘

✓ Entropy (0.423) is within threshold (0.600)

Configuration

swent automatically excludes common Python build artifacts (build/, dist/, *.egg-info/, etc.). You can customize behavior with a configuration file:

# Generate default configuration
swent --init

# Creates .swentrc.toml with all options

Example .swentrc.toml:

extend_default_excludes = true
exclude_patterns = ["vendor/", "legacy/"]

[entropy_thresholds]
good = 0.3
warning = 0.6

[weights]
complexity = 0.25
duplication = 0.20
# ... etc

See Configuration Guide for details.

CI/CD Integration

GitHub Actions

- name: Check Software Entropy
  run: |
    pip install swent
    swent --threshold 0.6 .

Pre-commit Hook

repos:
  - repo: https://github.com/yourusername/swent
    rev: v0.1.0
    hooks:
      - id: swent
        args: ['--threshold', '0.6']

Roadmap

• Language support beyond Python (JavaScript, Go, Rust)
• Historical entropy tracking and visualization
• IDE integrations (VS Code, PyCharm)
• Custom metric plugins
• Entropy prediction based on changes

Contributing

Contributions are welcome! Please see our Contributing Guide for details.

Credits

swent was developed with the assistance of Claude (Anthropic) and builds upon excellent open source libraries. See CREDITS.md for full acknowledgments.

License

MIT License - see LICENSE for details.