Toolkit for computer classification and analysis of behaviors in experimental animals

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for TheGoldenLab from gravatar.com TheGoldenLab

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

Project description

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 GNU Lesser General Public License v3.0.

Contributors

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

Contact

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for TheGoldenLab from gravatar.com TheGoldenLab

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

5.3.2

5.3.1

5.2.9

5.2.8

5.2.7

This version

5.2.6

5.2.5

5.2.4

5.2.3

5.2.2

5.2.1

5.1.9

5.1.8

5.1.7

5.1.6

5.1.5

5.1.4

5.1.3

5.1.2

5.1.1

4.9.9

4.9.8

4.9.7

4.9.6

4.9.5

4.9.4

4.9.3

4.9.2

4.9.1

4.8.9

4.8.8

4.8.7

4.8.6

4.8.5

4.8.4

4.8.3

4.8.2

4.8.1

4.7.9

4.7.8

4.7.7

4.7.6

4.7.5

4.7.4

4.7.3

4.7.2

4.7.1

4.6.9

4.6.8

4.6.7

4.6.6

4.6.4

4.6.3

4.6.2

4.6.1

4.5.9

4.5.8

4.5.7

4.5.6

4.5.5

4.5.4

4.5.3

4.5.2

4.5.1

4.4.9

4.4.8

4.4.7

4.4.6

4.4.5

4.4.4

4.4.3

4.4.2

4.4.1

4.3.9

4.3.8

4.3.7

4.3.6

4.3.5

4.3.4

4.3.3

4.3.1

4.2.9

4.2.8

4.2.7

4.2.6

4.2.5

4.2.4

4.2.3

4.2.2

4.2.1

4.1.9

4.1.8

4.1.7

4.1.6

4.1.5

4.1.4

4.1.3

4.1.2

4.1.1

4.0.9

4.0.7

4.0.6

4.0.5

4.0.4

4.0.3

4.0.2

4.0.1

3.9.9

3.9.8

3.9.7

3.9.6

3.9.5

3.9.4

3.9.3

3.9.2

3.8.9

3.8.8

3.8.7

3.8.6

3.8.5

3.8.4

3.8.3

3.8.2

3.8.1

3.7.9

3.7.8

3.7.7

3.7.6

3.7.5

3.7.4

3.7.3

3.7.2

3.7.1

3.6.9

3.6.8

3.6.7

3.6.6

3.6.5

3.6.4

3.6.3

3.6.2

3.6.1

3.5.9

3.5.8

3.5.7

3.5.6

3.5.5

3.5.4

3.5.2

3.5.1

3.4.9

3.4.8

3.4.7

3.4.6

3.4.5

3.4.4

3.4.3

3.4.2

3.4.1

3.3.9

3.3.8

3.3.7

3.3.6

3.3.3

3.3.2

3.3.1

3.2.9

3.2.8

3.2.7

3.2.6

3.2.5

3.2.4

3.2.3

3.2.2

3.2.1

3.1.9

3.1.8

3.1.7

3.1.6

3.1.5

3.1.4

3.1.3

3.1.2

3.1.1

3.0.9

3.0.8

3.0.7

3.0.6

3.0.5

3.0.4

3.0.3

3.0.2

3.0.1

2.9.9

2.9.8

2.9.7

2.9.6

2.9.5

2.9.4

2.9.3

2.9.2

2.9.1

2.8.9

2.8.8

2.8.7

2.8.6

2.8.5

2.8.4

2.8.3

2.8.2

2.8.1

2.7.9

2.7.8

2.7.7

2.7.6

2.7.5

2.7.4

2.7.3

2.7.2

2.7.1

2.6.9

2.6.8

2.6.7

2.6.6

2.6.5

2.6.4

2.6.3

2.6.2

2.6.1

2.5.9

2.5.8

2.5.7

2.5.6

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.4.9

2.4.8

2.4.7

2.4.6

2.4.5

2.4.4

2.4.3

2.4.2

2.4.1

2.3.9

2.3.8

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.2.9

2.2.8

2.2.7

2.2.4

2.2.3

2.2.2

2.2.1

2.1.9

2.1.8

2.1.7

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

1.99.9

1.99.8

1.99.7

1.99.6

1.99.5

1.99.4

1.99.3

1.99.2

1.99.1

1.98.9

1.98.8

1.98.7

1.98.6

1.98.5

1.98.4

1.98.3

1.98.2

1.98.1

1.97.9

1.97.7

1.97.6

1.97.5

1.97.4

1.97.3

1.97.2

1.97.1

1.96.9

1.96.8

1.96.7

1.96.6

1.96.5

1.96.4

1.96.3

1.96.2

1.96.1

1.95.9

1.95.8

1.95.7

1.95.6

1.95.5

1.95.4

1.95.3

1.95.2

1.95.1

1.94.9

1.94.8

1.94.7

1.94.6

1.94.5

1.94.4

1.94.3

1.94.2

1.94.1

1.93.9

1.93.8

1.93.7

1.93.6

1.93.5

1.93.4

1.93.3

1.93.2

1.93.1

1.92.9

1.92.8

1.92.7

1.92.5

1.92.4

1.92.3

1.92.2

1.92.1

1.91.9

1.91.8

1.91.7

1.91.6

1.91.5

1.91.4

1.91.3

1.91.2

1.91.1

1.90.9

1.90.8

1.90.7

1.90.6

1.90.5

1.90.4

1.90.3

1.90.2

1.90.1

1.89.9

1.89.8

1.89.7

1.89.6

1.89.5

1.89.4

1.89.3

1.89.2

1.89.1

1.88.9

1.88.8

1.88.7

1.88.6

1.88.5

1.88.4

1.88.3

1.88.2

1.88.1

1.87.9

1.87.8

1.87.7

1.87.6

1.87.5

1.87.4

1.87.3

1.87.2

1.87.1

1.86.7

1.86.6

1.86.4

1.86.3

1.86.2

1.86.1

1.85.9

1.85.8

1.85.7

1.85.6

1.85.5

1.85.4

1.85.3

1.85.2

1.85.1

1.84.9

1.84.8

1.84.7

1.84.6

1.84.5

1.84.4

1.84.3

1.84.1

1.83.9

1.83.8

1.83.7

1.83.6

1.83.5

1.83.4

1.83.3

1.83.2

1.83.1

1.82.3

1.82.1

1.81.9

1.81.8

1.81.7

1.81.6

1.81.5

1.81.4

1.81.3

1.81.2

1.81.1

1.80.9

1.80.8

1.80.7

1.80.6

1.80.5

1.80.4

1.80.3

1.80.2

1.80.1

1.79.9

1.79.8

1.79.7

1.79.6

1.79.5

1.79.4

1.79.3

1.79.2

1.79.1

1.78.9

1.78.8

1.78.7

1.78.6

1.78.5

1.78.4

1.78.3

1.78.2

1.78.1

1.77.9

1.77.8

1.77.7

1.77.6

1.77.5

1.77.4

1.77.3

1.77.2

1.77.1

1.76.9

1.76.8

1.76.7

1.76.6

1.76.5

1.76.4

1.76.3

1.76.2

1.76.1

1.75.9

1.75.8

1.75.7

1.75.6

1.75.5

1.75.4

1.75.3

1.75.2

1.75.1

1.74.9

1.74.8

1.74.7

1.74.6

1.74.5

1.74.4

1.74.3

1.74.2

1.74.1

1.73.9

1.73.8

1.73.7

1.73.6

1.73.5

1.73.3

1.73.2

1.73.1

1.72.8

1.72.7

1.72.6

1.72.5

1.72.4

1.72.3

1.72.2

1.72.1

1.71.9

1.71.8

1.71.7

1.71.6

1.71.5

1.71.4

1.71.3

1.71.2

1.71.1

1.70.9

1.70.8

1.70.7

1.70.6

1.70.5

1.70.4

1.70.3

1.70.2

1.70.1

1.65.9

1.65.8

1.65.7

1.65.6

1.65.5

1.65.4

1.65.3

1.65.2

1.65.1

1.64.9

1.64.8

1.64.7

1.64.6

1.64.5

1.64.4

1.64.3

1.64.2

1.64.1

1.63.9

1.63.8

1.63.7

1.63.6

1.63.5

1.63.4

1.63.3

1.63.2

1.63.1

1.62.9

1.62.8

1.62.7

1.62.6

1.62.5

1.62.4

1.62.3

1.62.2

1.62.1

1.61.9

1.61.8

1.61.7

1.61.6

1.61.5

1.61.4

1.61.3

1.61.2

1.61.1

1.60.9

1.60.7

1.60.6

1.60.5

1.60.4

1.60.3

1.60.2

1.60.1

1.59.4

1.59.3

1.59.2

1.59.1

1.58.9

1.58.8

1.58.7

1.58.6

1.58.5

1.58.4

1.58.3

1.58.2

1.58.1

1.57.9

1.57.8

1.57.6

1.57.5

1.57.4

1.57.3

1.57.2

1.56.9

1.56.8

1.56.7

1.56.5

1.56.4

1.56.3

1.56.2

1.56.1

1.55.9

1.55.8

1.55.7

1.55.6

1.55.5

1.55.4

1.55.3

1.55.2

1.55.1

1.54.9

1.54.8

1.54.7

1.54.6

1.54.5

1.54.4

1.54.3

1.54.2

1.54.1

1.53.9

1.53.8

1.53.7

1.53.6

1.53.5

1.53.4

1.53.3

1.53.2

1.53.1

1.52.92

1.52.91

1.52.9

1.52.4

1.52.3

1.52.2

1.52.1

1.51.9

1.51.8

1.51.7

1.51.6

1.51.5

1.51.4

1.51.3

1.51.2

1.51.1

1.50.9

1.50.8

1.50.7

1.50.6

1.50.5

1.50.4

1.50.3

1.50.2

1.50.1

1.40.9

1.40.8

1.40.7

1.40.6

1.40.5

1.40.4

1.40.2

1.40.1

1.40.0

0.77

0.76.9

0.76.8

0.76.6

0.76.5

0.76.4

0.76.3

0.76.2

0.76.1

0.73

0.72

0.71

0.70

0.4 yanked

Reason this release was yanked:

space

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

simba_uw_tf_dev-5.2.6.tar.gz (6.9 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

simba_uw_tf_dev-5.2.6-py3-none-any.whl (8.8 MB view details)

Uploaded Python 3

File details

Details for the file simba_uw_tf_dev-5.2.6.tar.gz.

File metadata

  • Download URL: simba_uw_tf_dev-5.2.6.tar.gz
  • Upload date:
  • Size: 6.9 MB
  • Tags: Source
  • Uploaded using 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

File hashes

Hashes for simba_uw_tf_dev-5.2.6.tar.gz
Algorithm Hash digest
SHA256 891c34dc62f54290489bd8de59362c3ac1e4d6c76c03ac0c87ad39a4f8fcc4f9
MD5 0231d143d3a4f46f5f4c5db6527f82e4
BLAKE2b-256 23d7aec346a53e5f91bd78aaad274689edbfe7f26764b692963eafa9643fd70f

See more details on using hashes here.

File details

Details for the file simba_uw_tf_dev-5.2.6-py3-none-any.whl.

File metadata

  • Download URL: simba_uw_tf_dev-5.2.6-py3-none-any.whl
  • Upload date:
  • Size: 8.8 MB
  • Tags: Python 3
  • Uploaded using 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

File hashes

Hashes for simba_uw_tf_dev-5.2.6-py3-none-any.whl
Algorithm Hash digest
SHA256 0f31cab10112a7593b06613d9f30d8aab4eb406e5c86d209879367dfa7c9c889
MD5 a812ffbf8d7d1ff4bb3013d5c67f6fbf
BLAKE2b-256 6a8b17a424443bbf824988a54aecd60642f6ca8e8f069dcfa26dba5506337a17

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page