# nkc3g4/wtg-assistant

Deploy Windows To Go on USB devices.

Repository: https://github.com/nkc3g4/wtg-assistant
Canonical: https://ross.abutalabs.com/products/wtg-assistant
Language: C#
License Family: other
Topics: usb, windows-to-go
Last push: 2025-04-05T14:17:04+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 15, release rhythm 8, longevity 100
- inputs: {"age_days": 3712, "days_push": 515, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1441, forks 173 (observed 2026-08-28T04:04:44.338999+00:00)

## What it is
Windows To Go Assistant (WTGA) is a C# GUI application that deploys full Windows To Go installations onto USB flash drives and portable hard drives. It offers more customization options and broader device compatibility than Microsoft's built-in WTG creation tool.

## Use cases
- install a full portable Windows system on a USB drive
- create a Windows To Go workspace on an external SSD
- carry my Windows setup between different computers
- deploy WTG with custom settings the official tool doesn't support
- make Windows boot from a portable drive on incompatible hardware

## When to choose
- you need a GUI tool to deploy Windows To Go on removable media
- the official Microsoft WTG tool rejects your USB device or lacks options you need
- you want a complete portable Windows installation rather than WinPE

## When to avoid
- you need a lightweight rescue environment like WinPE instead of a full OS
- you are on Linux or macOS, since this is a Windows-only tool
- you require a project with an explicit open-source license for commercial use

## Facets
- artifact type: application
- maturity: active
- function: gui, deployment, file-system
- domain: windows, developer-tools
- platform: windows
- tags: windows-to-go, usb, portable-os, bootable-usb, system-administration, automation, desktop

## Member repositories
- nkc3g4/wtg-assistant (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:44.338999+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 2026-08-30T04:36:28.880828+00:00, confidence not recorded.
  - readme: https://github.com/nkc3g4/wtg-assistant (fetched 2026-08-28T04:04:44.338999+00:00, sha 5c54aad777be)
- Data as of 2026-08-30T08:39:29.467469+00:00.