Skip to main content

Lightweight screen/webcam region capture and virtual camera tool for DJs

Project description

DJ HUD

Lightweight screen/webcam region capture and virtual camera tool for DJs.

Capture BPM, track info, waveforms, and deck status from your DJ software and stream it to remote DJs via VDO.Ninja, OBS, Discord, or Zoom.

Install

pip install djhud

Optional extras

# Virtual camera output (requires OBS Virtual Camera driver on Windows)
pip install djhud[virtualcam]

# macOS window listing support
pip install djhud[mac]

# Everything
pip install djhud[all]

Run

djhud

Or as a Python module:

python -m djhud

Features

  • Region capture — select parts of any monitor, window, or webcam
  • Region editor — drag, resize, crop, scale, lock aspect ratio, snap to grid, pixel nudge
  • Canvas compositor — combine multiple regions into a single output
  • Webcam input — device selection, resolution, FPS, flip, rotate, brightness, contrast, freeze/snapshot
  • Virtual camera output — via pyvirtualcam → OBS Virtual Camera → VDO.Ninja / Discord / Zoom
  • Presets — save/load JSON layouts per DJ app
  • System diagnostics — dependency check, capability check, export report
  • Cross-platform — Windows (full), macOS (screen + webcam), Linux (screen + webcam)

Use case

Remote DJ back-to-back streaming. Capture BPM, track, key, waveform, and deck status from Traktor / Rekordbox / Serato / VirtualDJ / Djay and stream to your remote DJ partner.

Supported DJ software

Works with any DJ software by capturing screen regions. Preset templates planned for:

  • Traktor Pro
  • Rekordbox
  • Serato DJ
  • VirtualDJ
  • Djay Pro

Requirements

  • Python 3.9+
  • Windows 10/11, macOS, or Linux
  • For virtual camera: OBS Virtual Camera driver (Windows) or OBS (Mac/Linux)

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

djhud-0.9.50.tar.gz (72.4 kB view details)

Uploaded Source

Built Distribution

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

djhud-0.9.50-py3-none-any.whl (70.8 kB view details)

Uploaded Python 3

File details

Details for the file djhud-0.9.50.tar.gz.

File metadata

  • Download URL: djhud-0.9.50.tar.gz
  • Upload date:
  • Size: 72.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for djhud-0.9.50.tar.gz
Algorithm Hash digest
SHA256 da79e4e565fa0bb756e3681205eab21a8fd5042f7ae32c2b93f0bc5487cffdce
MD5 f3da1b3b97086e0769b406f8f6117a26
BLAKE2b-256 b374fc38b52a0267a1366a905d529958c5a85b8730c2f2584ed40ebf48c44c66

See more details on using hashes here.

File details

Details for the file djhud-0.9.50-py3-none-any.whl.

File metadata

  • Download URL: djhud-0.9.50-py3-none-any.whl
  • Upload date:
  • Size: 70.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for djhud-0.9.50-py3-none-any.whl
Algorithm Hash digest
SHA256 5423c0c562d0d311330fe3f7b2ea18fecf4e2de077bc3aa07e4f765689b4c22b
MD5 864a9eb009f07e12e1be388e7da881b7
BLAKE2b-256 f0a734e25586179c7a3cb8486bb097e2b818a5b73101baca1a5f5c4bfc7685bd

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