BirdNET-Analyzer
A deep learning solution for avian diversity monitoring.
https://github.com/birdnet-team/birdnet-analyzer
Category: Biosphere
Sub Category: Avian Monitoring and Analysis
Keywords
acoustic-monitoring bioacoustics birds birdsong deep-learning
Keywords from Contributors
birdnet birding birdsong-recognition sound spectrogram
Last synced: about 3 hours ago
JSON representation
Repository metadata
BirdNET analyzer for scientific audio data processing.
- Host: GitHub
- URL: https://github.com/birdnet-team/birdnet-analyzer
- Owner: birdnet-team
- License: mit
- Created: 2021-09-22T13:29:56.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-04-24T10:41:09.000Z (3 days ago)
- Last Synced: 2025-04-25T10:42:37.555Z (2 days ago)
- Topics: acoustic-monitoring, bioacoustics, birds, birdsong, deep-learning
- Language: Python
- Homepage: https://birdnet-team.github.io/BirdNET-Analyzer/
- Size: 1.15 GB
- Stars: 1,033
- Watchers: 43
- Forks: 181
- Open Issues: 47
- Releases: 10
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
This repo contains BirdNET models and scripts for processing large amounts of audio data or single audio files.
This is the most advanced version of BirdNET for acoustic analyses and we will keep this repository up-to-date with new models and improved interfaces to enable scientists with no CS background to run the analysis.
Feel free to use BirdNET for your acoustic analyses and research.
If you do, please cite as:
@article{kahl2021birdnet,
title={BirdNET: A deep learning solution for avian diversity monitoring},
author={Kahl, Stefan and Wood, Connor M and Eibl, Maximilian and Klinck, Holger},
journal={Ecological Informatics},
volume={61},
pages={101236},
year={2021},
publisher={Elsevier}
}
Documentation
You can access documentation for this project here.
Download
You can download installers for Windows and macOS from the releases page.
About
Developed by the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology in collaboration with Chemnitz University of Technology.
Go to https://birdnet.cornell.edu to learn more about the project.
Want to use BirdNET to analyze a large dataset? Don't hesitate to contact us: [email protected]
Have a question, remark, or feature request? Please start a new issue thread to let us know. Feel free to submit a pull request.
License
- Source Code: The source code for this project is licensed under the MIT License.
- Models: The models used in this project are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
Please ensure you review and adhere to the specific license terms provided with each model.
Please note that all educational and research purposes are considered non-commercial use and it is therefore freely permitted to use BirdNET models in any way.
Funding
This project is supported by Jake Holshuh (Cornell class of ´69) and The Arthur Vining Davis Foundations.
Our work in the K. Lisa Yang Center for Conservation Bioacoustics is made possible by the generosity of K. Lisa Yang to advance innovative conservation technologies to inspire and inform the conservation of wildlife and habitats.
The development of BirdNET is supported by the German Federal Ministry of Education and Research through the project “BirdNET+” (FKZ 01|S22072).
The German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety contributes through the “DeepBirdDetect” project (FKZ 67KI31040E).
In addition, the Deutsche Bundesstiftung Umwelt supports BirdNET through the project “RangerSound” (project 39263/01).
Partners
BirdNET is a joint effort of partners from academia and industry.
Without these partnerships, this project would not have been possible.
Thank you!
Owner metadata
- Name: BirdNET-Team
- Login: birdnet-team
- Email:
- Kind: organization
- Description:
- Website:
- Location: Germany
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/118534182?v=4
- Repositories: 1
- Last ynced at: 2024-07-22T18:28:14.606Z
- Profile URL: https://github.com/birdnet-team
GitHub Events
Total
- Create event: 20
- Release event: 1
- Issues event: 22
- Watch event: 61
- Delete event: 16
- Issue comment event: 36
- Member event: 1
- Push event: 96
- Pull request review event: 8
- Pull request review comment event: 5
- Pull request event: 44
- Fork event: 9
Last Year
- Create event: 20
- Release event: 1
- Issues event: 22
- Watch event: 61
- Delete event: 16
- Issue comment event: 36
- Member event: 1
- Push event: 96
- Pull request review event: 8
- Pull request review comment event: 5
- Pull request event: 44
- Fork event: 9
Committers metadata
Last synced: 8 days ago
Total Commits: 729
Total Committers: 38
Avg Commits per committer: 19.184
Development Distribution Score (DDS): 0.579
Commits in past year: 286
Committers in past year: 22
Avg Commits per committer in past year: 13.0
Development Distribution Score (DDS) in past year: 0.643
Name | Commits | |
---|---|---|
Stefan Kahl | k****t@h****e | 307 |
Josef Haupt | j****t@i****e | 148 |
Josef Haupt | j****t@p****e | 99 |
Max Mauermann | m****n@w****e | 88 |
LimitlessGreen | l****n@o****e | 21 |
Patrick McGuire | 6****9 | 6 |
Felix Günther | f****r@g****m | 6 |
Mattk70 | e****l@m****k | 6 |
Jurijs Ješkins | j****s@g****m | 5 |
Harald Mack | h****k@p****m | 4 |
Mikhail Zakharov | m****o@g****m | 4 |
woheller69 | 6****9 | 3 |
AFairbairn | a****5@g****m | 2 |
Evan Moritz | e****x@g****m | 2 |
Ken | k****h@g****m | 2 |
Kevin F.A. Darras | k****s@i****r | 2 |
Mikko Heikkinen | h****k@b****g | 2 |
Stefan Taubert | 2****t | 2 |
bartman081523 | c****b@g****m | 1 |
jimmyknowles | 3****s | 1 |
bartman081523 | 4****3 | 1 |
Wiliam Souza | w****s@p****r | 1 |
Troy Gruetzmacher | t****m@g****m | 1 |
Tomi P. Hakala | t****a@p****i | 1 |
Thomas Wilhelm-Stein | t****t@g****m | 1 |
Thibaut Voirand | t****d@g****m | 1 |
Sunny Tseng | 4****g | 1 |
Prayag Shah | 3****h | 1 |
Oliver Payne | o****e | 1 |
Olindn | O****7@g****m | 1 |
and 8 more... |
Committer domains:
- komplex.org: 1
- macjudge.de: 1
- pobox.fi: 1
- pucpr.edu.br: 1
- biomi.org: 1
- inrae.fr: 1
- mattkirkland.co.uk: 1
- outlook.de: 1
- phil.tu-chemnitz.de: 1
- informatik.tu-chemnitz.de: 1
- hrz.tu-chemnitz.de: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 103
Total pull requests: 147
Average time to close issues: 4 months
Average time to close pull requests: 5 days
Total issue authors: 42
Total pull request authors: 8
Average comments per issue: 2.81
Average comments per pull request: 0.26
Merged pull request: 134
Bot issues: 0
Bot pull requests: 0
Past year issues: 93
Past year pull requests: 147
Past year average time to close issues: 3 months
Past year average time to close pull requests: 5 days
Past year issue authors: 40
Past year pull request authors: 8
Past year average comments per issue: 2.23
Past year average comments per pull request: 0.26
Past year merged pull request: 134
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- kahst (12)
- msp2 (6)
- MZiegenhorn (6)
- sammlapp (4)
- Mattk70 (4)
- timboucher (4)
- GrunCrow (4)
- OConnorStP (4)
- cbalantic (3)
- mikeletnic (2)
- ghost (2)
- ysims (2)
- Balantiopteryx (2)
- Richterskala101 (2)
- sebvdn (2)
Top Pull Request Authors
- Josef-Haupt (83)
- kahst (33)
- max-mauermann (13)
- yurish (10)
- kenshih (4)
- cbowns (2)
- jarnoh (1)
- tphakala (1)
Top Issue Labels
- type: enhancement (6)
- area: Analyzer (6)
- area: Documentation (2)
- area: GUI (2)
- feedback: discussion (2)
Top Pull Request Labels
Package metadata
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
pypi.org: birdnet-analyzer
BirdNET analyzer for scientific audio data processing and bird classification.
- Homepage: https://birdnet.cornell.edu/birdnet
- Documentation: https://birdnet-team.github.io/BirdNET-Analyzer/
- Licenses: MIT
- Latest release: 2.0.0 (published 4 days ago)
- Last Synced: 2025-04-26T11:02:22.512Z (1 day ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 9.251%
- Average: 30.681%
- Dependent repos count: 52.11%
- Maintainers (1)
Dependencies
- python 3.9-slim build
Score: 10.622302479844652