# protoloft/klipper_z_calibration

Klipper plugin for self-calibrating z-offset

Repository: https://github.com/protoloft/klipper_z_calibration
Canonical: https://ross.abutalabs.com/products/klipper_z_calibration
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: 3d-printing, klipper, vorondesign
Last push: 2026-06-06T07:24:41+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 86, release rhythm 8, longevity 100
- inputs: {"age_days": 1944, "days_push": 88, "days_rel": 483, "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 1252, forks 168 (observed 2026-08-28T04:04:08.362504+00:00)

## What it is
A Klipper firmware plugin that automatically calibrates the Z-offset of a 3D printer before every print, eliminating manual baby-stepping. It ensures a perfect first layer regardless of nozzle changes or new flex plates.

## Use cases
- automatically calibrate z-offset on klipper 3d printer
- get perfect first layer without manual baby stepping
- auto z-offset calibration after changing nozzle
- self-calibrate probe offset on voron printer
- avoid first layer adhesion problems on 3d prints

## When to choose
- you run Klipper firmware and want automatic z-offset calibration before each print
- you frequently swap nozzles or build plates and need consistent first layers
- you have a Voron or similar printer with an inductive or magnetic probe

## When to avoid
- your printer does not run Klipper firmware
- you have no Z endstop or probe hardware the plugin can reference
- you prefer manual first-layer tuning or use a different firmware like Marlin or RRF

## Facets
- artifact type: plugin
- maturity: stable
- function: configuration-management, workflow-automation, developer-tools
- domain: hardware, embedded-systems
- platform: python, embedded, iot
- tags: 3d-printing, klipper, z-offset-calibration, voron, firmware-plugin, first-layer, automation

## Member repositories
- protoloft/klipper_z_calibration (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:08.362504+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 2026-08-30T05:07:34.617295+00:00, confidence not recorded.
  - readme: https://github.com/protoloft/klipper_z_calibration (fetched 2026-08-28T04:04:08.362504+00:00, sha cd7e98c6e26b)
- Data as of 2026-08-30T08:39:29.467469+00:00.