SimBA (Simple Behavioral Analysis)

SimBA Splash

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:

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

Contributers on Github https://github.com/sgoldenlab/simba#contributors

Contact

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (5.5.3)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for TheGoldenLab from gravatar.com TheGoldenLab

Credits

Author: Simon Nilsson, Jia Jie Choong, Sophia Hwang

License

Modified BSD 3-Clause License

Classifiers

Report project as malware

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Source Distribution

simba_uw_tf_dev-5.4.6.tar.gz (9.8 MB view details)

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Built Distribution

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simba_uw_tf_dev-5.4.6-py3-none-any.whl (11.8 MB view details)

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1.59.4

2 files

1.59.3

2 files

1.59.2

2 files

1.59.1

2 files

1.58.9

2 files

1.58.8

2 files

1.58.7

2 files

1.58.6

2 files

1.58.5

2 files

1.58.4

2 files

1.58.3

2 files

1.58.2

2 files

1.58.1

2 files

1.57.9

2 files

1.57.8

2 files

1.57.6

2 files

1.57.5

2 files

1.57.4

2 files

1.57.3

2 files

1.57.2

2 files

1.56.9

2 files

1.56.8

2 files

1.56.7

2 files

1.56.5

2 files

1.56.4

2 files

1.56.3

2 files

1.56.2

2 files

1.56.1

2 files

1.55.9

2 files

1.55.8

2 files

1.55.7

2 files

1.55.6

2 files

1.55.5

2 files

1.55.4

2 files

1.55.3

2 files

1.55.2

2 files

1.55.1

2 files

1.54.9

2 files

1.54.8

2 files

1.54.7

2 files

1.54.6

2 files

1.54.5

2 files

1.54.4

2 files

1.54.3

2 files

1.54.2

2 files

1.54.1

2 files

1.53.9

2 files

1.53.8

2 files

1.53.7

2 files

1.53.6

2 files

1.53.5

2 files

1.53.4

2 files

1.53.3

2 files

1.53.2

2 files

1.53.1

2 files

1.52.92

2 files

1.52.91

2 files

1.52.9

2 files

1.52.4

2 files

1.52.3

2 files

1.52.2

2 files

1.52.1

2 files

1.51.9

2 files

1.51.8

2 files

1.51.7

2 files

1.51.6

2 files

1.51.5

2 files

1.51.4

2 files

1.51.3

2 files

1.51.2

2 files

1.51.1

2 files

1.50.9

2 files

1.50.8

2 files

1.50.7

2 files

1.50.6

2 files

1.50.5

2 files

1.50.4

2 files

1.50.3

2 files

1.50.2

2 files

1.50.1

2 files

1.40.9

2 files

1.40.8

2 files

1.40.7

2 files

1.40.6

2 files

1.40.5

2 files

1.40.4

2 files

1.40.2

2 files

1.40.1

2 files

1.40.0

2 files

0.77

2 files

0.76.9

2 files

0.76.8

2 files

0.76.6

2 files

0.76.5

2 files

0.76.4

2 files

0.76.3

2 files

0.76.2

2 files

0.76.1

2 files

0.73

2 files

0.72

2 files

0.71

2 files

0.70

2 files

Yanked

0.4

2 files

Yanked reason: space

0.0.1

2 files

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