# Teraskull/PyDebloatX

Python GUI for uninstalling the default Windows 10 apps.

Repository: https://github.com/Teraskull/PyDebloatX
Canonical: https://ross.abutalabs.com/products/pydebloatx
Homepage: https://pydebloatx.com/
Language: Python
License: MIT
License Family: permissive
Topics: windows-10, python3, pyqt5, gui, uninstall, debloat, python, pydebloatx, microsoft-store, fluent, windows
Last push: 2026-03-25T19:55:21+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 74, release rhythm 8, longevity 100
- inputs: {"age_days": 2297, "days_push": 161, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1688, forks 117 (observed 2026-08-28T04:05:22.317801+00:00)

## What it is
PyDebloatX is a Python GUI application for uninstalling default Windows 10 apps (bloatware). It offers a safe, intuitive interface where all removed apps can be reinstalled via the Microsoft Store.

## Use cases
- remove preinstalled Windows 10 apps
- debloat a fresh Windows install without editing the registry
- bulk uninstall Microsoft Store bloatware
- reinstall removed default apps from the Store
- clean up Windows after a factory reset

## When to choose
- you want a simple GUI to remove default Windows 10 apps safely
- you prefer not to run PowerShell or registry hacks
- you want a portable tool that needs no admin privileges

## When to avoid
- you need to debloat Windows 11 or Windows Server
- you want scripted/automated mass removal across many machines
- you need to remove deeply integrated apps like Edge or Cortana

## Facets
- artifact type: application
- maturity: active
- function: gui, developer-tools
- domain: windows, developer-tools, privacy
- platform: windows, python
- tags: debloat, windows-10, bloatware-removal, pyqt5, microsoft-store, uninstaller, automation

## Member repositories
- Teraskull/PyDebloatX (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:22.317801+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 2026-08-30T03:38:42.674725+00:00, confidence not recorded.
  - readme: https://github.com/Teraskull/PyDebloatX (fetched 2026-08-28T04:05:22.317801+00:00, sha dcd64dd8a7a0)
  - homepage: https://pydebloatx.com/ (fetched 2026-08-29T11:13:37.397641+00:00, sha b3334d72c3d8)
- Data as of 2026-08-30T08:39:29.467469+00:00.