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

tphakala/birdnet-go

Self-hosted realtime soundscape analyser for birds, bats and other wildlife. Multi-model local AI inference, runs 24/7 on a Raspberry Pi. observed · 2026-08-28

github.com/tphakala/birdnet-go · Go · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

94/100

  • Activity 99
  • Release rhythm 99
  • Longevity 74

Flags: no_license

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: 4.0
  • age_days: 1048
  • days_rel: 10
  • days_push: 7
  • n_releases_24m: 23

Full methodology

Adoption not part of the score

1592 stars · 152 forks observed · 2026-08-28

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

BirdNET-Go is a self-hosted, 24/7 realtime soundscape analyser that classifies birds, bats, and other wildlife using local AI models like BirdNET, Perch, and BattyBirdNET. It ingests soundcard or network audio streams, runs multi-model inference on hardware as small as a Raspberry Pi, and presents detections, spectrograms, and heatmaps in a web UI with alerting to many notification services.

Use cases

  • identify bird species from realtime audio on a raspberry pi
  • monitor bats and wildlife sounds 24/7 in my backyard
  • send bird detection alerts to discord or home assistant
  • run multiple bioacoustic AI models in parallel on audio streams
  • self-host a bird song classifier with a web dashboard
  • stream live spectrograms and detection heatmaps in the browser
  • integrate bird detections with mqtt and home assistant discovery

When to choose

  • you want continuous, local wildlife sound monitoring on low-power hardware like a raspberry pi
  • you need multi-model classification (birds, bats) with cross-model confidence boosting
  • you want rich integrations: Discord, Slack, Telegram, MQTT, Home Assistant, webhooks, BirdWeather
  • you prefer self-hosted inference without sending audio to the cloud

When to avoid

  • you need a permissively licensed tool for commercial use - the license is CC-BY-NC-SA (non-commercial)
  • you only need offline batch analysis of pre-recorded files rather than realtime monitoring
  • you need Windows/macOS as first-class supported platforms - it is primarily Linux/Raspberry Pi oriented

Facets

application · maturity active

audio-processing machine-learning llm-inference monitoring webhook self-hosted artificial-intelligence self-hosted iot analytics windows self-hosted go birdnet bioacoustics wildlife-monitoring raspberry-pi soundscape-analysis bird-detection bat-detection realtime-audio home-assistant pwa audio linux macos docker

1 source

Member repositories

RepositoryRoleHealth v2
tphakala/birdnet-gomain94

For agents

markdown · JSON · MCP: product_card(name="tphakala/birdnet-go")

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