# google/glazier

A tool for automating the installation of the Microsoft Windows operating system on various device platforms.

Repository: https://github.com/google/glazier
Canonical: https://ross.abutalabs.com/products/glazier
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-08-24T05:44:01+00:00

## Health v2 (maintenance only)
Score: 87/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 64, longevity 100
- inputs: {"age_days": 3509, "days_push": 9, "days_rel": 27, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1259, forks 95 (observed 2026-08-28T04:04:09.750114+00:00)

## What it is
Glazier is a Google-developed tool for automating Windows operating system installations across various device platforms. It boots systems into WinPE, fetches YAML-based instructions over HTTPS, and applies the OS along with applications and configurations.

## Use cases
- automate windows os installation on new hardware
- bare-metal provisioning of windows machines
- build a windows imaging pipeline driven by yaml
- deploy windows with preinstalled applications and settings
- standardize fleet-wide windows setup across device platforms

## When to choose
- you need repeatable, code-driven Windows imaging at scale
- you want YAML-based declarative OS deployment configs
- you're provisioning Windows in an enterprise or datacenter environment

## When to avoid
- you need Linux or macOS deployment automation
- you only need simple disk cloning or one-off installs
- you can't host a web server for deployment instructions

## Facets
- artifact type: cli-tool
- maturity: active
- function: deployment, configuration-management, workflow-automation, developer-tools
- domain: windows, infrastructure-as-code
- platform: windows, python, cli
- tags: os-deployment, windows-imaging, winpe, bare-metal-provisioning, yaml-config, devops, automation

## Member repositories
- google/glazier (main) score 87

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:09.750114+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:05:29.909462+00:00, confidence not recorded.
  - readme: https://github.com/google/glazier (fetched 2026-08-28T04:04:09.750114+00:00, sha 4d7283f65b0a)
- Data as of 2026-08-30T08:39:29.467469+00:00.