Ross ROSS = Recommend OSS · open-source software intelligence for agents

rzru/nightingale

Machine learning powered Karaoke app (with scores!) observed · 2026-08-28

github.com/rzru/nightingale · homepage · TypeScript · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

81/100

  • Activity 99
  • Release rhythm 98
  • Longevity 12

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 7
  • age_days: 171
  • days_rel: 19
  • days_push: 7
  • n_releases_24m: 14

Full methodology

Adoption not part of the score

1423 stars · 100 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Nightingale is an open-source karaoke application that turns any song in your music library into a karaoke track using neural networks. It separates vocals from instrumentals (UVR/Demucs), transcribes lyrics with word-level timestamps (WhisperX), and plays back with synchronized highlighting, pitch scoring, and key/tempo controls.

Use cases

  • turn my music library into karaoke tracks
  • karaoke app with automatic pitch scoring
  • separate vocals from instrumentals for singing practice
  • get word-level synced lyrics for any song
  • host karaoke night from my Plex or Jellyfin library
  • self-hosted karaoke server for the whole house
  • play UltraStar Deluxe songs with a modern app

When to choose

  • you want karaoke from your existing music files, Plex, Jellyfin, or Navidrome library without manual prep
  • you need automatic vocal separation and word-level lyric alignment including CJK songs
  • you want a self-contained app with pitch scoring, key/tempo shifting, and player profiles
  • you want a self-hosted web mode so phones, tablets, and TVs can join from a browser

When to avoid

  • you need a code-signed installer or strict corporate security policies (the app is unsigned on macOS)
  • you only want a lightweight lyrics player without ML analysis overhead
  • you have no GPU and need fast analysis (CPU mode works but is slow)
  • you need a cloud-hosted multi-tenant karaoke service

Facets

application · maturity active

machine-learning audio-processing speech-recognition gui self-hosted machine-learning media entertainment self-hosted windows cross-platform self-hosted rust python karaoke stem-separation whisper demucs lyrics-alignment pitch-scoring tauri ultrastar plex jellyfin navidrome media audio natural-language-processing linux macos desktop docker

6 sources

Member repositories

RepositoryRoleHealth v2
rzru/nightingalemain81

For agents

markdown · JSON · MCP: product_card(name="rzru/nightingale")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem