Factual package intelligence from PyPI

singlebehaviorlab 2.3.5 package intelligence

Behavioral sequencing and phenotyping with lightweight task specific adaptation

pip install singlebehaviorlab

Current version
2.3.5
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.0 MiB
Release history
9 releases with files
Median release cadence
0 days

singlebehaviorlab dependencies

PyPI declares 30 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. PyQt6 ==6.11.0
  2. PyQt6-WebEngine ==6.11.0
  3. PyYAML ==6.0.3
  4. numpy <3,>=2.1
  5. h5py ==3.14.0
  6. opencv-python ==4.13.0.92
  7. Pillow ==12.1.1
  8. scipy <2,>=1.14
  9. eva-decord ==0.6.1
  10. scikit-learn ==1.7.2
  11. pandas ==2.3.3
  12. umap-learn ==0.5.11

The compact report shows 12 of 30 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

singlebehaviorlab publishes 1 wheel and 1 source archive for version 2.3.5. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for singlebehaviorlab 2.3.5

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 9 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .