# asmvik/yabai

A tiling window manager for macOS based on binary space partitioning

Repository: https://github.com/asmvik/yabai
Canonical: https://ross.abutalabs.com/products/yabai
Language: C
License: MIT
License Family: permissive
Last push: 2026-06-14T12:40:07+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 87, release rhythm 83, longevity 100
- inputs: {"age_days": 2678, "days_push": 80, "days_rel": 117, "gap_med": 12.0, "n_releases_24m": 23}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 29510, forks 744 (observed 2026-08-28T04:11:53.529443+00:00)

## What it is
yabai is a tiling window manager for macOS that automatically arranges windows using a binary space partitioning algorithm. It extends the built-in macOS window manager with a CLI for controlling windows, spaces, and displays, with optional keyboard shortcuts via skhd.

## Use cases
- tile windows automatically on macOS
- manage macOS windows and spaces from the command line
- create more than 16 spaces on macOS
- enable focus-follows-mouse on a Mac
- organize windows with binary space partitioning layouts
- control window layouts with keyboard shortcuts

## When to choose
- you want automatic tiling window management on macOS
- you prefer keyboard-driven window control via a CLI
- you need features macOS lacks, like extra spaces or focus-follows-mouse

## When to avoid
- you are not on macOS
- you are unwilling to grant accessibility permissions or disable SIP for advanced features
- you prefer macOS's native window management without extra tooling

## Facets
- artifact type: application
- maturity: stable
- function: gui, developer-tools, cli
- domain: desktop-applications, developer-tools, operating-systems
- platform: cli
- tags: tiling-window-manager, binary-space-partitioning, window-management, macos-utility, keyboard-driven, command-line, macos

## Member repositories
- asmvik/yabai (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:53.529443+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 2026-08-29T16:52:58.686119+00:00, confidence not recorded.
  - readme: https://github.com/asmvik/yabai (fetched 2026-08-28T04:11:53.529443+00:00, sha ad9c517bfa87)
- Data as of 2026-08-30T08:39:29.467469+00:00.