# georgewhewell/undervolt

Undervolt Intel CPUs under Linux

Repository: https://github.com/georgewhewell/undervolt
Canonical: https://ross.abutalabs.com/products/undervolt
Language: Python
License: NOASSERTION
License Family: other
Topics: linux, intel, undervolt
Last push: 2024-04-22T17:18:20+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3168, "days_push": 863, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1737, forks 115 (observed 2026-08-28T04:05:29.841525+00:00)

## What it is
A Python CLI tool for undervolting Intel CPUs under Linux by writing voltage offsets to MSR 0x150, similar to ThrottleStop on Windows. It can also adjust temperature targets, power limits, and turbo settings.

## Use cases
- undervolt my intel cpu on linux to reduce heat
- apply a -100mV core voltage offset
- set cpu temperature throttle target
- change short and long power limits (PL1/PL2)
- read current undervolt offsets
- convert ThrottleStop settings to linux commands
- disable intel turbo boost

## When to choose
- you run Linux on an Intel CPU and want ThrottleStop-like undervolting
- you need to tweak temperature targets or power limits via MSR 0x150
- you want a simple pip-installable CLI for voltage offsets

## When to avoid
- you are on Windows (use ThrottleStop instead)
- your CPU is AMD or lacks MSR 0x150 support
- you are uncomfortable with hardware-damaging risk on untested hardware
- you need a GUI tool

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: developer-tools, configuration-management
- domain: hardware, operating-systems, performance
- platform: cli, python
- tags: undervolt, intel-cpu, msr, throttlestop, power-management, overclocking, linux

## Member repositories
- georgewhewell/undervolt (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:29.841525+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 2026-08-30T03:30:38.179861+00:00, confidence not recorded.
  - readme: https://github.com/georgewhewell/undervolt (fetched 2026-08-28T04:05:29.841525+00:00, sha c32352d06580)
  - registry_pypi: https://pypi.org/pypi/undervolt/json (fetched 2026-08-29T11:07:45.587630+00:00, sha 771176942509)
- Data as of 2026-08-30T08:39:29.467469+00:00.