SimBA (Simple Behavioral Analysis)
SimBA (Simple Behavioral Analysis) is a platform for analyzing behaviors of experimental animals within video recordings.
More Information
See below for raison d'être, detailed API, tutorials, data, documentation, support, and walkthroughs:
- GitHub: https://github.com/sgoldenlab/simba
- Documentation readthedocs: https://simba-uw-tf-dev.readthedocs.io/en/latest/
- API: https://simba-uw-tf-dev.readthedocs.io/en/latest/api.html
- Gitter chat support: https://app.gitter.im/#/room/#SimBA-Resource_community:gitter.im
- bioRxiv preprint: https://www.biorxiv.org/content/10.1101/2020.04.19.049452v2
- Nature Neuroscience paper: https://www.nature.com/articles/s41593-024-01649-9
- Open Science Framework (OSF) data buckets: https://osf.io/tmu6y/
- Video examples: http://youtube.com/playlist?list=PLi5Vwf0hhy1R6NDQJ3U28MOUJPfl2YWYl
- Slide examples: https://simba-uw-tf-dev.readthedocs.io/en/latest/docs/workflow.html
Installation
To install SimBA, use the following command:
pip install simba-uw-tf-dev
Citation
If you use the code, please cite:
@article{Nilsson2020.04.19.049452,
author = {Nilsson, Simon RO and Goodwin, Nastacia L. and Choong, Jia Jie and Hwang, Sophia and Wright, Hayden R and Norville, Zane C and Tong, Xiaoyu and Lin, Dayu and Bentzley, Brandon S. and Eshel, Neir and McLaughlin, Ryan J and Golden, Sam A.},
title = {Simple Behavioral Analysis (SimBA) – an open source toolkit for computer classification of complex social behaviors in experimental animals},
elocation-id = {2020.04.19.049452},
year = {2020},
doi = {10.1101/2020.04.19.049452},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2020/04/21/2020.04.19.049452},
eprint = {https://www.biorxiv.org/content/early/2020/04/21/2020.04.19.049452.full.pdf},
journal = {bioRxiv}
}
Licence
SimBA is licensed under a modified BSD 3-Clause License, permitting use for academic and research purposes only. For commercial licensing inquiries, contact sronilsson@gmail.com.
Contributors
Contributors on GitHub https://github.com/sgoldenlab/simba#contributors
Contact
1 maintainer
Metadata
1 maintainer
Release files for simba-uw-tf-dev 5.5.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| simba_uw_tf_dev-5.5.7.tar.gz | 10.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| simba_uw_tf_dev-5.5.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.0 MB
Release files / simba_uw_tf_dev-5.5.7.tar.gz
| Download URL | simba_uw_tf_dev-5.5.7.tar.gz |
|---|---|
| Size | 10.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
caa1002d06de99eca4df9fe0a30e83c1c256c95cdd2291ff2e867b114d9da4a9
|
|
BLAKE2b-256 checksum How to use checksums |
1bdbf96f524398d29c5fe70c345a9454f1ad1ea0db72cad1117c996b693a1c19
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.10.0 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/1.0.0 urllib3/1.26.20 tqdm/4.30.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.13
|
Release files / simba_uw_tf_dev-5.5.7-py3-none-any.whl
| Download URL | simba_uw_tf_dev-5.5.7-py3-none-any.whl |
|---|---|
| Size | 13.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
25b005e36cec4d0c675d9d7560c08529f43fa1d8320c60fb56873fc5ce37e052
|
|
BLAKE2b-256 checksum How to use checksums |
84a0770a69bee4e0f1815d0bd9126fb8b93685412ed35965660632053abc30fc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.10.0 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/1.0.0 urllib3/1.26.20 tqdm/4.30.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.13
|
