idtrackerai

pipeline Licence

idtracker.ai tracks up to 100 unmarked animals from videos recorded in laboratory conditions using artificial intelligence. Free and open source.

This work has been published in eLife Methods, please include the following reference if you use this software in your research:

Jordi Torrents, Tiago Costa, Gonzalo G de Polavieja. New idtracker.ai: rethinking multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking timese. Life14:RP107602 (2025)

@article{idtrackerai_2025,
          title={New idtracker.ai: rethinking multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking times},
          url={https://doi.org/10.7554/eLife.107602},
          DOI={10.7554/elife.107602},
          publisher={eLife Sciences Publications, Ltd},
          journal={eLife},
          author={Torrents, Jordi and Costa, Tiago and de Polavieja, Gonzalo G},
          year={2025}
        }

Visit our website to find more information about the software, installation instructions, and user guides.

Installation for developers

On an environment with Python>=3.10 and a working installation of Pytorch (Torch and Torchvision) you can install the latest published idtracker.ai version by installing directly form the GitLab repo:

pip install git+https://gitlab.com/polavieja_lab/idtrackerai

Or install the developing version from the develop branch:

pip install git+https://gitlab.com/polavieja_lab/idtrackerai@develop

There exist two extra dependencies options:

dev to install tools for formatting, static analysis, building, publishing, etc.
docs to install needed packages to build documentation (sphinx and some plugins).

Contributors

Jordi Torrents (2022-)
Tiago Costa (2024)
Antonio Ortega (2021-2023)
Francisco Romero-Ferrero (2015-2022)
Mattia G. Bergomi (2015-2018)
Ricardo Ribeiro (2018-2020)
Francisco J.H. Heras (2015-2022)

For more information please send an email (info@idtracker.ai) or use the tools available at https://gitlab.com/polavieja_lab/idtrackerai.

Metadata

Release files for idtrackerai 6.0.14

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for idtrackerai 6.0.14
File	Size	Uploaded
idtrackerai-6.0.14.tar.gz	6.2 MB	Apr 7, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for idtrackerai 6.0.14
File	Interpreter	ABI	Platform	Reset
idtrackerai-6.0.14-py3-none-any.whl 6.3 MB Apr 7, 2026	Python 3	none	any	Details

Total release size: 12.5 MB

Release files / idtrackerai-6.0.14.tar.gz

Download URL	idtrackerai-6.0.14.tar.gz
Size	6.2 MB
Tags	Source
SHA-256 checksum How to use checksums	`5fe2f3be1a4af95e18d2712956aa00f39a93af1349c8be0e34231720fa31c8c4`
BLAKE2b-256 checksum How to use checksums	`bc2607d0de34c6c42edcb07b096882ec00ae6f98ace67cd5d10af411738929b2`
Upload date	Apr 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`

Release files / idtrackerai-6.0.14-py3-none-any.whl

Download URL	idtrackerai-6.0.14-py3-none-any.whl
Size	6.3 MB
Tags	Python 3
SHA-256 checksum How to use checksums	`301627dc5a203d9a5e5aa79be3f56754ce1cffc312ae0308834d7d1b0e93d854`
BLAKE2b-256 checksum How to use checksums	`f6db1c028b795d76665467b91b95f9931b7f4d672a034d78a4d323830ac3f759`
Upload date	Apr 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`