Edit: Since posting this over 4 years ago, we've moved it to its own GitHub repository and associated website.
If you have any suggestions for software packages to add or updates to be made to the present softwares, please fill out this form.
GitHub - rhine3/bioacoustics-software: A list of free and paid software available for bioacoustic analyses
A list of free and paid software available for bioacoustic analyses - rhine3/bioacoustics-software
Hi all!
Yesterday I started compiling a list of bioacoustics software that I knew of: [deprecated link; current link is here]. The list breaks software into groups by function (e.g. annotation, detection, classification), though many packages fall into multiple groups.
I work with automated classification and analysis of large-scale autonomous acoustic recording datasets, and I've been wishing for such a compilation of available software for a while. Hopefully this list will be a useful resource for others involved in similar research.
I would appreciate any additions to or corrections of this list. Folks on Twitter already gave a wealth of helpful suggestions on this thread.
Thank you for any ideas you have, and thanks to @StephODonnell who suggested I post this here!
5 January 2025 2:22am
Hi Tessa and colleagues,
The list you’ve compiled is truly impressive—thank you for sharing such a valuable resource!
I was wondering if you (Tessa and the team at WILDLABS) are aware of any software designed to easily process typical PAM deployments from end to end. Specifically, I’m looking for tools that can help organize and validate collected data, compute acoustic indices, identify species using AI, and export the results efficiently.
We currently use our own Python workflow with scikit-maad and BirdNET, but I wonder if there’s something existing out there that I might have overlooked.
Thank you in advance for your insights!
All the best,
31 January 2025 4:35am
Thanks for the hard work of putting this list together!
We have a deep-learning model for bioacoustics (linked below). Would it fit into this list?
GitHub - deep-voice/soundbay: Deep Learning Framework for Bioacoustics
Deep Learning Framework for Bioacoustics. Contribute to deep-voice/soundbay development by creating an account on GitHub.

Borislava Gacheva
University of Suffolk
1 February 2025 10:26am
Thank you so much for this resource!
7 February 2025 5:26pm
Hi Tessa,
Wildtrax might be good to include on this list as well:
WildTrax - Manage, store, process, and share sensor data.
WildTrax Manage, store, process, and share environmental sensor data.
Juan Sebastián Ulloa
Instituto Humboldt
Red Ecoacústica Colombiana