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
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
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
- readme: https://github.com/tphakala/birdnet-go · fetched 2026-08-28 · d1acf724ce27
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tphakala/birdnet-go | main | 94 |
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