Skip to main content

Detect macOS Mojave Dark Mode from Python

Project description

Darkdetect

This package allows to detect if macOS 10.14+ is running with the Dark mode enabled. The main application of this package is to detect the Dark mode from your GUI Python application (Tkinter/wx/pyqt/qt for python (pyside)/...) and apply the needed adjustments to your interface. This package is particularly useful if your GUI library does not provide a public API for this detection (I am looking at you, Qt). In addition, this package does not depend on other modules or packages that are not already included in standard Python distributions.

Usage

import darkdetect

>>> darkdetect.theme()
'Dark'

>>> darkdetect.isDark()
True

>>> darkdetect.isLight()
False

Is that easy.

Install

The preferred channel is PyPI:

pip install darkdetect

Alternatively, you are free to vendor directly a copy of Darkdetect in your app. Further information on vendoring can be found here.

Notes

  • This software is licensed under the terms of the 3-clause BSD License.
  • This package can be installed on any operative system, but it will always return None unless executed on macOS 10.14 Mojave. This package is designed to work also with older versions of macOS and in those cases it will also return None. Detection of the dark menu bar and dock (available from 10.10) is not supported.
  • Details on the detection method used.

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

darkdetect-0.1.0.tar.gz (4.0 kB view details)

Uploaded Source

Built Distribution

darkdetect-0.1.0-py3-none-any.whl (4.9 kB view details)

Uploaded Python 3

File details

Details for the file darkdetect-0.1.0.tar.gz.

File metadata

  • Download URL: darkdetect-0.1.0.tar.gz
  • Upload date:
  • Size: 4.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for darkdetect-0.1.0.tar.gz
Algorithm Hash digest
SHA256 df5712bd7193e13df8b282fa9cf07f865d0001d06a6cb11b137abefbedf47851
MD5 bd3ac70b2b49ddcb4988dd8f14ed0c14
BLAKE2b-256 366236ca9e3d61605bf6e2497591aa0e26a29c30457d311a84473a08e2387397

See more details on using hashes here.

File details

Details for the file darkdetect-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: darkdetect-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 4.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for darkdetect-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4d3dc27bedc1cfaae9bc9bb9345cf85d526a2fb62bccc4c11161b9b38c914b29
MD5 ba29fc6c145563124526911f38ead0c6
BLAKE2b-256 bd20898af0c8dee832ba9b8066139de6d90e777952aff5401ab9d57d09b49884

See more details on using hashes here.

Supported by

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