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

This version

5.2.7

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-5.2.7.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-5.2.7-py3-none-any.whl (8.9 MB view details)

Uploaded Python 3

File details

Details for the file simba_uw_tf_dev-5.2.7.tar.gz.

File metadata

  • Download URL: simba_uw_tf_dev-5.2.7.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-5.2.7.tar.gz
Algorithm Hash digest
SHA256 b7108121b6c3be96ee0d395863073f90f7de181be14551e5dc3cb4d296ae2a3d
MD5 82971f795d72a51d0052a2598d9f95b8
BLAKE2b-256 432814905f2681d3ee4152be011d564a93a639a83ad36d882f8503a5e778b2b5

See more details on using hashes here.

File details

Details for the file simba_uw_tf_dev-5.2.7-py3-none-any.whl.

File metadata

  • Download URL: simba_uw_tf_dev-5.2.7-py3-none-any.whl
  • Upload date:
  • Size: 8.9 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-5.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 cc61bf7a9016560e6d85b57a387a4f3602beea2cc049ebcd8d679cd8b081593d
MD5 1c051eea31948d6feb5a249cf8a83534
BLAKE2b-256 3b6833d24a6a589ba7d1cd83938f5f4bb4a3621b55af41f68df102176d194314

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