Git Insights CLI

A powerful CLI tool that analyzes git repositories to generate developer productivity insights, code quality metrics, and commit pattern analysis. Works entirely offline using local git data with no external API dependencies.

CI Status Python Version License

Features

  • Commit Pattern Analysis - Analyze commit frequency, time patterns, and author contributions
  • Code Churn Tracking - Track lines added/removed per commit and identify high churn areas
  • Productivity Metrics Dashboard - Display metrics in a formatted terminal dashboard using Rich
  • Risky Commit Detection - Identify commits with large changes, merge commits, and revert commits
  • Team Velocity Reports - Calculate commit velocity and throughput over time periods
  • Export to Multiple Formats - Export analysis results to JSON, HTML, and Markdown formats

Installation

From Source

pip install -e .

Dependencies

  • Python 3.8+
  • Click 8.1.7+
  • Rich 13.7.0+
  • GitPython 3.1.40+
  • dataclasses-json 0.6.4+
  • PyYAML 6.0.1+
  • Jinja2 3.1.3+

Quick Start

# Analyze current repository (last 30 days)
git-insights analyze

# Analyze specific repository
git-insights analyze /path/to/repo

# Show productivity dashboard
git-insights dashboard

# Export to JSON
git-insights export --format json

# Analyze last 7 days
git-insights analyze --days 7

Commands

analyze

Analyze a git repository for commit patterns, code churn, and productivity metrics.

git-insights analyze [OPTIONS] [PATH]

Options:
  --days INTEGER     Number of days to analyze (default: 30)
  --format TEXT      Output format: json, markdown, html (default: console)
  -v, --verbose      Enable verbose output

Example:

git-insights analyze /my/project --days 7 --format json

dashboard

Display productivity metrics in an interactive terminal dashboard.

git-insights dashboard [OPTIONS] [PATH]

Options:
  --days INTEGER     Number of days to analyze (default: 30)

Example:

git-insights dashboard /my/project

export

Export analysis results to a file in the specified format.

git-insights export [OPTIONS] [PATH]

Options:
  --format TEXT      Output format: json, markdown, html (default: json)
  --output TEXT      Output file path

Example:

git-insights export /my/project --format json --output report.json

report

Generate a comprehensive productivity report.

git-insights report [OPTIONS] [PATH]

Options:
  --days INTEGER     Number of days to analyze (default: 30)
  --output TEXT      Output file path for HTML report

Example:

git-insights report /my/project --days 30 --output report.html

Configuration

Git Insights CLI supports configuration via YAML files. Create a .git-insights/config.yaml file in your repository or use ~/.git-insights/config.yaml for user-wide settings.

Default Configuration

repository_path: .
analysis_days: 30
output_format: json
churn_threshold: 500
risky_commit_threshold: 500
merge_commit_flag: true

Environment Variables

  • GIT_INSIGHTS_REPO_PATH - Override repository path
  • GIT_INSIGHTS_DAYS - Default number of days to analyze

Development

Setup

# Clone the repository
git clone https://7000pct.gitea.bloupla.net/7000pctAUTO/git-insights-cli.git
cd git-insights-cli

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -e ".[dev]"

# Run tests
pytest tests/ -v

# Run linting
ruff check .

Running Tests

# Run all tests with coverage
pytest tests/ -v --cov=src --cov-report=term-missing

# Run specific test file
pytest tests/test_cli.py -v

# Run with verbose output
pytest tests/ -vv

Project Structure

git-insights-cli/
├── src/
│   ├── git_insights.py      # Main orchestrator
│   ├── cli.py               # CLI commands
│   ├── analyzers/
│   │   ├── git_repository.py # Git repository wrapper
│   │   ├── commit_pattern.py # Commit pattern analysis
│   │   ├── code_churn.py     # Code churn tracking
│   │   ├── velocity.py       # Velocity analysis
│   │   └── risky_commit.py   # Risky commit detection
│   ├── models/
│   │   └── data_structures.py # Data models
│   ├── formatters/
│   │   ├── base.py           # Base formatter
│   │   ├── json_formatter.py # JSON output
│   │   ├── markdown_formatter.py # Markdown output
│   │   ├── html_formatter.py # HTML output
│   │   └── dashboard.py      # Terminal dashboard
│   └── utils/
│       ├── date_utils.py     # Date utilities
│       └── config.py         # Configuration loading
├── tests/
│   ├── conftest.py          # Pytest fixtures
│   ├── test_cli.py          # CLI tests
│   ├── test_models.py       # Model tests
│   └── test_formatters.py   # Formatter tests
├── pyproject.toml           # Project configuration
├── requirements.txt         # Dependencies
└── README.md               # This file

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Description
A CLI tool that analyzes git repositories to generate developer productivity insights, code quality metrics, and commit pattern analysis
Readme MIT 259 KiB
v1.0.0 Latest
2026-01-30 20:35:48 +00:00
Languages
Python 100%