컨설턴트 없이 DevOps 성숙도 측정: 오픈 소스, 자동화 가능 기준선

Maturity models usually mean a spreadsheet and a consultant. I wanted the
opposite: something I could pip install, run in 60 seconds, drop into CI,
and share as a badge — covering the whole DevOps lifecycle, not just one
slice of it.

That’s DevOps Maturity — an open-source spec plus tooling (CLI, web UI,
GitHub Action) built around a weighted checklist.

The gap it fills

There are great tools that go deep on one axis, but none give a quick,
broad “where do we stand” baseline:

Tool Focus Note DORA metrics delivery outcomes measures results, not practices OpenSSF Scorecard OSS security health security-only, public repos SLSA supply-chain integrity deep & narrow (we map to it) DevOps Maturity practices in place, end-to-end build, quality, security, supply chain, analysis, reporting

They’re complements, not competitors. DevOps Maturity is the fast first
pass that tells you which deep tool to reach for next.

60-second try

pip install devops-maturity
dm assess

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You get an overall score, a level (WIP → PASSING → BRONZE → SILVER → GOLD),
per-category scores, prioritized recommendations, and a badge URL.

Make it repeatable

Keep a devops-maturity.yml in the repo and run it in CI:

dm config --file devops-maturity.yml --format json

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…or let the GitHub Action re-assess and keep the badge current on every
change.

Skip the questionnaire (AI auto-mode)

ANTHROPIC_API_KEY=... devops-maturity assess --auto --ai anthropic

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It infers the answers from the repo’s README, CI config and file tree.
Works with OpenAI / Anthropic / Gemini, or fully local via Ollama.

It’s early — tell me where it’s wrong

Apache-2.0, Python, built mostly solo. I’d love feedback on the criteria
and weights specifically: anything missing, mis-weighted, or just wrong?

• Spec: https://devops-maturity.github.io/
• Code: https://github.com/devops-maturity/devops-maturity
• Demo: https://devops-maturity.onrender.com/