# kaievns/halmak

The final version of the AI designed keyboard layout

Repository: https://github.com/kaievns/halmak
Canonical: https://ross.abutalabs.com/products/halmak
Language: C
License: MIT
License Family: permissive
Last push: 2024-01-09T20:08:13+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": 3806, "days_push": 967, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1115, forks 33 (observed 2026-08-28T04:03:38.344016+00:00)

## What it is
Halmak is an AI-optimized keyboard layout for English typing, designed via genetic algorithms to minimize finger movement and maximize typing efficiency. The repository distributes layout definition files and installation instructions for macOS, Android physical keyboards, and Karabiner Elements.

## Use cases
- switch from QWERTY to a more efficient keyboard layout
- reduce finger travel distance while typing
- install an optimized keyboard layout on macOS
- use an ergonomic layout on an Android physical keyboard
- compare alternative keyboard layouts like Dvorak and Colemak
- remap keys with Karabiner Elements for a custom layout

## When to choose
- you type primarily in English and want a highly optimized layout
- you want an alternative to Colemak or Dvorak with better efficiency metrics
- you need layout files for macOS or Android physical keyboards

## When to avoid
- you type mostly in non-English languages
- you cannot invest time in relearning typing muscle memory
- you need a layout for touchscreens or on-screen keyboards

## Facets
- artifact type: dataset
- maturity: stable
- function: developer-tools
- domain: developer-tools, cross-platform
- platform: windows, cross-platform
- tags: keyboard-layout, ergonomics, typing-efficiency, ai-optimized, alternative-layout, macos, android, linux

## Member repositories
- kaievns/halmak (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:38.344016+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 2026-08-30T06:42:11.014409+00:00, confidence not recorded.
  - readme: https://github.com/kaievns/halmak (fetched 2026-08-28T04:03:38.344016+00:00, sha 776fa62107e3)
- Data as of 2026-08-30T08:39:29.467469+00:00.