Factual package intelligence from PyPI

napari-kld 1.1.0 package intelligence

Kernel learning deconvolution (KLD) is a rapid deconvolution algorithm for fluorescence microscopic image, which learns the forward and backward kernels in Richardson-Lucy Deconvolution (KLD) from paired low-/high-resolution images.

pip install napari-kld

Current version
1.1.0
Python requirement
>=3.9
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
415.2 KiB
Release history
4 releases with files
Median release cadence
2 days

napari-kld dependencies

PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy ==1.26.4
  2. magicgui
  3. qtpy
  4. scikit-image
  5. torch ==2.0
  6. torchvision
  7. fft-conv-pytorch
  8. pytorch-msssim
  9. tensorboard
  10. pydicom

Compatibility and release files

napari-kld publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.