BirdNET-Analyzer and BirdNET-Tiny-Forge

BirdNET-Analyzer is a full-featured scientific audio processing platform, while BirdNET-Tiny-Forge is a lightweight, embedded implementation for resource-constrained birdsong logging devices—making them complements that serve different deployment contexts within the same ecosystem.

BirdNET-Analyzer

Verified

BirdNET-Tiny-Forge

Experimental

Maintenance 16/25

Adoption 18/25

Maturity 25/25

Community 24/25

Maintenance 6/25

Adoption 6/25

Maturity 9/25

Community 7/25

Stars: 1,427

Forks: 246

Downloads: 866

Commits (30d): 1

Language: Python

License: MIT

Stars: 23

Forks: 2

Downloads: —

Commits (30d): 0

Language: Python

License: Apache-2.0

No risk flags

No Package No Dependents

About BirdNET-Analyzer

birdnet-team/BirdNET-Analyzer

BirdNET analyzer for scientific audio data processing.

Leverages deep learning models trained on 6,512+ bird species to automatically detect and classify avian vocalizations in audio files or continuous streams. Provides both command-line and GUI interfaces designed for researchers without CS expertise, with support for batch processing large audio datasets and real-time analysis through Docker containerization. Integrates with Zenodo for model distribution and supports cross-platform deployment on Linux, Windows, and macOS via native installers or Python package management.

About BirdNET-Tiny-Forge

birdnet-team/BirdNET-Tiny-Forge

Create your own birdsong logger, powered by BirdNET-Tiny.

Related comparisons

BirdNET-Analyzer and birdnet-go BirdNET-Analyzer and birdnet BirdNET-Analyzer and Sound-based-bird-species-detection BirdNET-Analyzer and BIRDeep_BirdSongDetector_NeuralNetworks BirdNET-Analyzer and Bird-Song-Detector BirdNET-Analyzer and birdnet-onnx-converter

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