birdnet-go and birdnet

The BirdNET-Go tool is a real-time soundscape analyzer that likely uses the BirdNET Python library for its core bird species identification functionality, making them ecosystem siblings where the former is a higher-level application leveraging the latter as its underlying engine.

birdnet-go
65
Established
birdnet
60
Established
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 17/25
Maintenance 10/25
Adoption 9/25
Maturity 25/25
Community 16/25
Stars: 907
Forks: 74
Downloads:
Commits (30d): 493
Language: Go
License:
Stars: 80
Forks: 12
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No risk flags

About birdnet-go

tphakala/birdnet-go

Realtime BirdNET soundscape analyzer

This tool helps ornithologists, environmental researchers, and hobbyists continuously monitor and identify bird species from their songs in real-time. It takes live audio input from a microphone and processes it locally using AI, outputting identified bird species names and timestamps to a log file, database, or a web dashboard. Anyone interested in understanding bird populations or observing local wildlife will find this useful.

avian-monitoring bioacoustics wildlife-research birdwatching environmental-monitoring

About birdnet

birdnet-team/birdnet

A Python library for identifying bird species by their sounds.

This tool helps ecologists and environmental researchers identify bird species from audio recordings or predict species presence at a specific location and time. You can input sound files (WAV, MP3, FLAC, etc.) or geographic coordinates with a week number, and it outputs lists of bird species with confidence scores, helping you catalog biodiversity or understand bird distribution. It's designed for bioacoustic projects and ecological data analysis.

bioacoustics ornithology ecological-monitoring wildlife-research environmental-science

Scores updated daily from GitHub, PyPI, and npm data. How scores work