aiobirdnetgo

Asynchronous Python client library for the BirdNET-Go REST API and real-time Server-Sent Events (SSE) streaming.

Designed primarily for integration with Home Assistant Core and other Python asyncio applications.

Features

• ⚡ Asynchronous: Built entirely on top of aiohttp and asyncio.
• 🔍 Type-Safe: Frozen dataclasses with full typing support (py.typed).
• 🐦 Real-Time Detection Streaming: Built-in SSE listener with automatic reconnection and heartbeat handling.
• 📊 Dashboard KPIs & Analytics: Fetch daily species summaries, lifetime statistics, and detection streaks.
• 🎙️ Multi-Source Audio: Discovers and maps audio devices and RTSP stream sources.
• 🎛️ Engine Control: Restart analysis engine or reload classifier models remotely.

Installation

pip install aiobirdnetgo

Quickstart

Basic API Usage & KPIs

import asyncio
from aiobirdnetgo import BirdNetGoClient


async def main():
    async with BirdNetGoClient(host="192.168.1.50", port=8080) as client:
        # Check connectivity
        if await client.ping():
            print("Connected to BirdNET-Go!")

        # Get system health
        health = await client.get_health()
        print(f"Version: {health.version}, Status: {health.status}")

        # Get dashboard headline KPIs
        kpis = await client.get_kpis()
        print(f"Today's detections: {kpis.today_detections}")
        print(f"Lifetime species count: {kpis.lifetime_species}")
        print(f"Current streak: {kpis.detection_streak.days} days")


if __name__ == "__main__":
    asyncio.run(main())

Real-Time Detection Streaming (SSE)

import asyncio
from aiobirdnetgo import BirdNetGoClient


async def main():
    async with BirdNetGoClient(host="192.168.1.50", port=8080) as client:
        print("Listening for live bird detections...")

        stream = client.stream_detections()
        async for detection in stream:
            print(f"🐦 Detected: {detection.common_name} ({detection.scientific_name})")
            print(f"   Confidence: {detection.confidence * 100:.1f}%")
            print(f"   Source: {detection.source_name or detection.source_id}")
            if detection.bird_image:
                print(f"   Photo: {client.get_species_image_url(detection.scientific_name)}")


if __name__ == "__main__":
    asyncio.run(main())

Managing Audio Sources & Recent Detections

import asyncio
from aiobirdnetgo import BirdNetGoClient


async def main():
    async with BirdNetGoClient(host="192.168.1.50", port=8080) as client:
        # List audio sources (sound cards & RTSP streams)
        sources = await client.get_audio_sources()
        for source in sources:
            print(f"Source: {source.name} (ID: {source.id}, State: {source.state})")

        # Fetch recent detections
        detections = await client.get_recent_detections(limit=10)
        for det in detections:
            print(f"{det.time} - {det.common_name} ({det.confidence * 100:.0f}%)")


if __name__ == "__main__":
    asyncio.run(main())

Development & Testing

# Clone the repository
git clone https://github.com/TN-1/aiobirdnetgo.git
cd aiobirdnetgo

# Install dependencies and dev tools
pip install -e ".[dev]"

# Run linter and type checker
ruff check .
mypy src tests

# Run unit tests with coverage
pytest