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

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

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

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

This version

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

1.33.9

1.33.8

1.33.7

1.33.6

1.33.5

1.33.4

1.33.3

1.33.2

1.33.1

1.32.9

1.32.8

1.32.7

1.32.6

1.32.5

1.32.4

1.32.3

1.32.2

1.32.1

1.30.9

1.30.8

1.30.6

1.30.3

1.30.2

1.30.1

1.22.9

1.22.8

1.22.7

1.22.6

1.22.5

1.22.4

1.22.3

1.22.2

1.22.1

1.21.8

1.21.7

1.21.6

1.21.5

1.21.4

1.21.3

1.21.2

1.21.1

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

0.99.9

0.99.8

0.99.7

0.99.6

0.99.5

0.99.4

0.99.3

0.99.2

0.99.1

0.99.0

0.98.9

0.98.8

0.98.7

0.98.6

0.98.5

0.98.4

0.98.3

0.98.2

0.98.1

0.97.9

0.97.8

0.97.7

0.97.6

0.97.5

0.97.4

0.97.3

0.97.2

0.97.1

0.97.0

0.96.9

0.96.8

0.96.7

0.96.6

0.94.9

0.94.8

0.94.7

0.94.6

0.94.5

0.94.4

0.94.3

0.94.2

0.94.1

0.94.0

0.93.9

0.93.8

0.93.7

0.93.6

0.93.5

0.93.4

0.93.3

0.93.2

0.92.9

0.92.8

0.92.7

0.92.6

0.92.5

0.92.4

0.92.3

0.92.2

0.92.1

0.92.0

0.91.9

0.91.8

0.91.7

0.91.6

0.91.5

0.91.4

0.91.3

0.91.2

0.91.1

0.91.0

0.90.9

0.90.8

0.90.7

0.90.6

0.90.5

0.90.4

0.90.3

0.90.2

0.90.1

0.90.0

0.89.9

0.89.8

0.89.7

0.89.6

0.89.5

0.89.4

0.89.3

0.89.2

0.89.1

0.89.0

0.88.9

0.88.8

0.88.7

0.88.6

0.88.5

0.88.4

0.88.3

0.88.2

0.88.1

0.88.0

0.87.9

0.87.8

0.87.7

0.87.6

0.87.4

0.87.3

0.87.2

0.87.1

0.87.0

0.86.9

0.86.8

0.86.7

0.86.6

0.86.5

0.86.4

0.86.3

0.86.2

0.86.1

0.86.0

0.85.9

0.85.8

0.85.7

0.77.8

0.77.7

0.77.6

0.77.5

0.77.4

0.77.3

0.77.2

0.77.1

0.77

0.76.10

0.76.9

0.76.8

0.76.6

0.76.5

0.76.4

0.76.3

0.76.2

0.76.1

0.76

0.75

0.74.2

0.73

0.72

0.71

0.70

0.68

0.67

0.62

0.61

0.60

0.59

0.58

0.57

0.55

0.54

0.52

0.49

0.48

0.47

0.46

0.44

0.42

0.41

0.31

0.4.1

0.4

0.3

0.2

0.1

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-2.2.9.tar.gz (5.9 MB view details)

Uploaded Source

Built Distribution

Simba_UW_tf_dev-2.2.9-py3-none-any.whl (6.8 MB view details)

Uploaded Python 3

File details

Details for the file Simba-UW-tf-dev-2.2.9.tar.gz.

File metadata

  • Download URL: Simba-UW-tf-dev-2.2.9.tar.gz
  • Upload date:
  • Size: 5.9 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 urllib3/1.26.19 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-2.2.9.tar.gz
Algorithm Hash digest
SHA256 8dc3d40c9911d81f81ac27612ea166a5a5623ecd4d44d97efab7088e2d3dfaf0
MD5 c4574a354f3ee03fee29e5f6218f0091
BLAKE2b-256 f8dff214aa443c58c156f77efa9b63a486135ed989cd560d865f6cd4eb1ded0c

See more details on using hashes here.

File details

Details for the file Simba_UW_tf_dev-2.2.9-py3-none-any.whl.

File metadata

  • Download URL: Simba_UW_tf_dev-2.2.9-py3-none-any.whl
  • Upload date:
  • Size: 6.8 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 urllib3/1.26.19 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-2.2.9-py3-none-any.whl
Algorithm Hash digest
SHA256 e6ac81283cfa01020e627193edeca7aff913cad0273d45687fdaf7fa61eec375
MD5 8ae6c480ed517dcab81ac4c5b8d38bf4
BLAKE2b-256 0cbe4871fc49eb0ff09f19077a8fd3f4340a8a924320175af013041db14cce98

See more details on using hashes here.

Supported by

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