Skip to main content

Zenix: A Lightweight Tool for Procedural Noise Generation

Project description

Zenix: A Lightweight Tool for Procedural Noise Generation


built with Python3 GitHub repo size PyPI version

Overview

Zenix is a lightweight tool for generating procedural noise such as white, pink, and brown noise. It can be used both as a command-line application and as a Python library, making it suitable for quick terminal usage as well as integration into Python projects. Zenix generates noise programmatically using NumPy and plays it through an audio backend, allowing developers to create continuous background sound for focus, concentration, relaxation, or acoustic masking. With support for multiple noise types, configurable parameters, fade-in effects, and looping playback, Zenix provides a simple yet flexible way to work with procedural noise in both interactive and programmatic environments.

PyPI Counter
Github Stars
Branch main dev
CI
Code Quality CodeFactor

Installation

Source Code

PyPI

Usage

CLI

zenix --type=white --duration=120 --volume=0.25 --fade-in=2 --fade-out=3 --sample-rate=44000 --loop --output=noise.wav

Arguments

Argument Description Default
--type Noise type white
--duration Duration of generated noise in seconds 30
--volume Output volume multiplier 0.3
--fade-in Fade-in duration in seconds 2
--fade-out Fade-out duration in seconds 2
--sample-rate Audio sample rate in Hz 44100
--loop Enable continuous looping playback False
--output Save generated noise to WAV file None

Library

Generate Noise

Generate procedural noise as a PCM int16 NumPy array.

from zenix import generate_noise, play_noise, save_noise, NoiseType
audio = generate_noise(
        noise_type=NoiseType.WHITE,
        duration=120,
        sample_rate=44000,
        volume=0.25,
        fade_in=2,
		fade_out=2
    )
Parameter Type Description Default
noise_type NoiseType Noise type NoiseType.WHITE
duration float Duration of generated noise in seconds 30
sample_rate int Audio sample rate in Hz 44100
volume float Output volume multiplier 0.3
fade_in float Fade-in duration in seconds 2
fade_out float Fade-out duration in seconds 2

Play Noise

Play generated noise directly from memory.

from zenix import generate_noise, play_noise

audio = generate_noise(duration=30)

play_noise(
    audio=audio,
    sample_rate=44100,
    loop=False
)
Parameter Type Description Default
audio numpy.ndarray PCM mono audio buffer (int16) Required
sample_rate int Audio sample rate in Hz 44100
loop bool Enable continuous looping playback False

Save Noise

Save generated noise to a WAV file.

from zenix import generate_noise, save_noise

audio = generate_noise(duration=60)

save_noise(
    filepath="noise.wav",
    audio=audio,
    sample_rate=44100
)
Parameter Type Description Default
filepath str Output WAV file path Required
audio numpy.ndarray PCM mono audio buffer (int16) Required
sample_rate int Audio sample rate in Hz 44100

Noise Object

The Noise class provides an object-oriented interface for generating, playing, and saving procedural noise.

from zenix import Noise, NoiseType

noise = Noise(
    noise_type=NoiseType.PINK,
    duration=120,
    sample_rate=44100,
    volume=0.25,
    fade_in=2,
    fade_out=2
)

noise.play()
noise.save("noise.wav")
Parameter Type Description Default
noise_type NoiseType Noise type NoiseType.WHITE
duration float Duration of generated noise in seconds 30
sample_rate int Audio sample rate in Hz 44100
volume float Output volume multiplier 0.3
fade_in float Fade-in duration in seconds 2
fade_out float Fade-out duration in seconds 2

The generated audio can be accessed through the audio property, which automatically generates the noise on first access and returns a PCM int16 NumPy array.

Issues & Bug Reports

Just fill an issue and describe it. We'll check it ASAP!

  • Please complete the issue template

Show Your Support

Star This Repo

Give a ⭐️ if this project helped you!

Donate to Our Project

Bitcoin

1KtNLEEeUbTEK9PdN6Ya3ZAKXaqoKUuxCy

Ethereum

0xcD4Db18B6664A9662123D4307B074aE968535388

Litecoin

Ldnz5gMcEeV8BAdsyf8FstWDC6uyYR6pgZ

Doge

DDUnKpFQbBqLpFVZ9DfuVysBdr249HxVDh

Tron

TCZxzPZLcJHr2qR3uPUB1tXB6L3FDSSAx7

Ripple

rN7ZuRG7HDGHR5nof8nu5LrsbmSB61V1qq

Binance Coin

bnb1zglwcf0ac3d0s2f6ck5kgwvcru4tlctt4p5qef

Tether

0xcD4Db18B6664A9662123D4307B074aE968535388

Dash

Xd3Yn2qZJ7VE8nbKw2fS98aLxR5M6WUU3s

Stellar

GALPOLPISRHIYHLQER2TLJRGUSZH52RYDK6C3HIU4PSMNAV65Q36EGNL

Zilliqa

zil1knmz8zj88cf0exr2ry7nav9elehxfcgqu3c5e5

Coffeete

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog and this project adheres to Semantic Versioning.

Unreleased

0.7 - 2026-06-13

Added

  • Noise class

Changed

  • Test system modified
  • Dependencies structure modified
  • README.md updated

0.6 - 2026-05-25

Added

  • Blue noise
  • ZenixError class
  • ZenixValidationError class

Changed

  • Error messages updated
  • Test system modified
  • README.md updated

0.5 - 2026-05-05

Added

  • save_noise function
  • --output argument

Changed

  • Validation system modified
  • Test system modified
  • README.md updated

0.4 - 2026-04-26

Added

  • fade_out parameter
  • --fade-out argument

Changed

  • README.md updated
  • Test system modified

0.3 - 2026-04-21

Added

  • Input validation
  • Logo

Changed

  • Test system modified

0.2 - 2026-04-13

Added

  • --sample-rate argument

Changed

  • README.md updated
  • Test system modified

0.1 - 2026-04-03

Added

  • generate_noise function
  • play_noise function
  • White noise
  • Pink noise
  • Brown noise

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

zenix-0.7.tar.gz (17.4 kB view details)

Uploaded Source

Built Distribution

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

zenix-0.7-py3-none-any.whl (12.1 kB view details)

Uploaded Python 3

File details

Details for the file zenix-0.7.tar.gz.

File metadata

  • Download URL: zenix-0.7.tar.gz
  • Upload date:
  • Size: 17.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.5

File hashes

Hashes for zenix-0.7.tar.gz
Algorithm Hash digest
SHA256 423f4ea38b74c41e69fc8c0dd4a9ed4e75a50b9d50eab73a50dc22e214e31034
MD5 c1915b86550a58237a73ba05090544f3
BLAKE2b-256 bf7e2300a99b0b75dec5b99624b2843975ddcd3f8733d414e7d8f1363feb3ab7

See more details on using hashes here.

File details

Details for the file zenix-0.7-py3-none-any.whl.

File metadata

  • Download URL: zenix-0.7-py3-none-any.whl
  • Upload date:
  • Size: 12.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.5

File hashes

Hashes for zenix-0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 f17a3002155ec22a09b9053c04e6ed677bf922a756e14fa7aa2cd7d304dac9fa
MD5 6045d8a7570b97d2e5ea65c5495cd74d
BLAKE2b-256 630e2797ce90d1644e73b38e7693734cb11bfa49549cc13e04cfac19df35e468

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