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-0.9.32.tar.gz (44.4 kB view details)

Uploaded Source

Built Distribution

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

djhud-0.9.32-py3-none-any.whl (46.5 kB view details)

Uploaded Python 3

File details

Details for the file djhud-0.9.32.tar.gz.

File metadata

  • Download URL: djhud-0.9.32.tar.gz
  • Upload date:
  • Size: 44.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for djhud-0.9.32.tar.gz
Algorithm Hash digest
SHA256 cde47cee550acd37f132548875f9a2d9f0afd790c8508d2e8c3e2da9650c1c3c
MD5 504b5798019a4026bc2201d53335af06
BLAKE2b-256 38357dd8e9648339a9318b95e52a5ea8a31868826cffccdd4545abab95a72d21

See more details on using hashes here.

File details

Details for the file djhud-0.9.32-py3-none-any.whl.

File metadata

  • Download URL: djhud-0.9.32-py3-none-any.whl
  • Upload date:
  • Size: 46.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for djhud-0.9.32-py3-none-any.whl
Algorithm Hash digest
SHA256 b23dcc5abd74149f3dd66d69ebacf61b237c8ecbfba99a9e0df32dd03237abe7
MD5 c72d07f5951cf12da4e1edf4c518cd19
BLAKE2b-256 065a22c79c0c056125b096c960c68e89b5e123a96a438c1ff5776c4a093ba137

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