coco  by inherd

DevOps metrics analysis and suggestion tool

Created 4 years ago
325 stars

Top 83.6% on SourcePulse

GitHubView on GitHub
Project Summary

Coco is a DevOps metrics analysis and auto-suggestion tool designed for engineering teams to understand their development process, identify bottlenecks, and receive actionable recommendations. It provides visualized reports on team evolution, architecture complexity, and code changes.

How It Works

Coco leverages Git history, cloc (count lines of code), and ctags to analyze code repositories. It processes data locally, generating insights into commit frequency, file changes, team member contributions, and architectural complexity. The tool offers plugins for specific analyses like containerization, CI/CD pipelines, and code structure.

Quick Start & Requirements

  • Install: Download pre-compiled binaries from the releases page.
  • Prerequisites: ctags (installation instructions provided for macOS).
  • Setup: Download Coco binary, optionally download plugins to a plugins directory.
  • Usage: Run coco from the command line.
  • Docs: Online Demos

Highlighted Details

  • Analyzes Git branches, commits, and tags.
  • Supports cloc analysis for code size and changes over time.
  • Includes plugins for container, pipeline, and code structure analysis.
  • Generates interactive HTML visualizations and suggestions.

Maintenance & Community

The project appears to be actively developed with a comprehensive roadmap and numerous completed tasks. Community interaction channels are not explicitly mentioned in the README.

Licensing & Compatibility

The project is distributed under the MIT license. The ctags analysis component is based on ptags (MIT licensed), and the ctags parser rewrite is under the Apache License. This license is permissive and generally compatible with commercial use.

Limitations & Caveats

The README indicates that framework detection and tech stack generation are still under development. Some advanced visualizations like Polyglot Code Explorer and integration with tools like SonarQube are listed as future work.

Health Check
Last Commit

3 years ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
0 stars in the last 30 days

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