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

5.2.6

5.2.5

This version

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-5.2.4.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-5.2.4-py3-none-any.whl (8.8 MB view details)

Uploaded Python 3

File details

Details for the file simba_uw_tf_dev-5.2.4.tar.gz.

File metadata

  • Download URL: simba_uw_tf_dev-5.2.4.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-5.2.4.tar.gz
Algorithm Hash digest
SHA256 2b3d852d9d40b01595c2ae9bcdc1204df609f236d00d50374b5b3666f0e5479b
MD5 8292ec4706c79dfc8883a4bb6c406894
BLAKE2b-256 ae3c29ef06630d229ce08cc00344473dc37b9fe23c1a3d69f37fe650f8bcbaaf

See more details on using hashes here.

File details

Details for the file simba_uw_tf_dev-5.2.4-py3-none-any.whl.

File metadata

  • Download URL: simba_uw_tf_dev-5.2.4-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-5.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 94e3079f62e26c5e188af6ec3365a23bfefff749f0f4f3eae19cc6cd97adf834
MD5 e7dcf0b5222d83f8e65ad01f3820da13
BLAKE2b-256 5e19704bd5b8077047d82bb97b4e2bf64b05724e85e1e5e7230432f6a8be1d46

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