Skip to main content

Deep Brown Noise for Focus as a MenuBar App & CLI Tool

Reason this release was yanked:

superseded by 0.4.x line

Project description

LowHum

Deep brown noise for focus, right from the macOS menu bar.

No browser tabs. No subscriptions. No account. Fully offline.

Brown noise is one of the most effective focus aids for people with ADHD and anyone who needs to block out distractions. Most options require keeping a YouTube tab open, paying for a subscription app, or relying on your phone. LowHum is a single-purpose menu bar app that generates deep brown noise locally and plays it on loop — install it, click play, forget about it.

Install

uv tool install lowhum          # recommended
# or
pip install lowhum

Usage

lowhum                          # launch the menu-bar app
lowhum start                    # play immediately in terminal (Ctrl+C to stop)
lowhum start -d 3               # play on a specific output device
lowhum devices                  # list output devices
lowhum generate                 # pre-generate the audio file

lhm is a shorthand alias — all commands work with either name.

Menu-bar app

  • Play / Stop from the menu bar
  • Output Device submenu — pick any connected audio device
  • Auto-stops when headphones connect or disconnect

How it works

  1. Generation — On first run, a 10-minute WAV is synthesised locally: cumulative-sum brown noise, Butterworth bandpass (1–500 Hz + 20 Hz sub-bass HP), RMS-normalised per chunk, crossfaded at boundaries. Stored at ~/.lowhum/.
  2. Playback — Memory-mapped streaming through PortAudio. No full-file RAM load. Loops seamlessly.
  3. Device detection — Polls audio devices every 2 seconds. Headphone unplug, Bluetooth disconnect — playback stops instantly.
  4. Menu-bar icon — Template icon; macOS handles dark/light mode automatically.

Requirements

  • macOS
  • Python >= 3.12

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lowhum-1.0.0.tar.gz (4.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lowhum-1.0.0-py3-none-any.whl (4.1 MB view details)

Uploaded Python 3

File details

Details for the file lowhum-1.0.0.tar.gz.

File metadata

  • Download URL: lowhum-1.0.0.tar.gz
  • Upload date:
  • Size: 4.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.2 {"installer":{"name":"uv","version":"0.10.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for lowhum-1.0.0.tar.gz
Algorithm Hash digest
SHA256 84f06199b379c9368ec46491cf913fc491dcb989f28e5fd8a4280af87cc64dfd
MD5 6bc730c7a4643418a0f1a4c4918430e3
BLAKE2b-256 e3eb5de02966d1024b0a0e54a41607b8e08cb7463215f81bf214709eef161319

See more details on using hashes here.

File details

Details for the file lowhum-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: lowhum-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 4.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.2 {"installer":{"name":"uv","version":"0.10.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for lowhum-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f58c9ecdb7657256454b53a22e08c3d90a5e3e19090dfb86b21213bbc48d128f
MD5 36c38346226bb60246650924bb8b75be
BLAKE2b-256 3863dc71791a69b17e73f981dd100e44513dc89fc4d6f8c5f1b77012f9b00f75

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page