Factual package intelligence from PyPI

jdb-to-nwb 2.3.1 package intelligence

Converts electrophysiology, photometry, and behavioral data for the hex maze task used by the Berke Lab at UCSF to NWB format for sharing and analysis.

pip install jdb-to-nwb

Current version
2.3.1
Python requirement
>=3.12
License
BSD-3-Clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
32.7 MiB
Release history
9 releases with files
Median release cadence
14 days

jdb-to-nwb dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. ffmpeg-python
  2. hex-maze-neuro >=1.1.2
  3. imageio-ffmpeg
  4. matplotlib
  5. ndx-fiber-photometry ==0.1.0
  6. ndx-franklab-novela
  7. neuroconv ==0.8.2
  8. opencv-python
  9. pynwb ==3.0
  10. scikit-learn
  11. spikeinterface >=0.101.0
  12. tables

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

jdb-to-nwb publishes 1 wheel and 1 source archive for version 2.3.1. Wheel platform tags: any.

Declared Python classifiers: 3.12.

Release activity and sources

PyPI lists 9 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .