Factual package intelligence from PyPI

scVAEIT 1.1.1 package intelligence

scVAEIT is a Python module of Variational autoencoder for single-cell mosaic integration and transfer learning.

pip install scvaeit

Current version
1.1.1
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
42.5 KiB
Release history
6 releases with files
Median release cadence
23 days

scVAEIT dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. jupyter
  2. matplotlib
  3. numpy
  4. pandas
  5. scanpy >=1.9.2
  6. scikit-learn
  7. tensorflow-probability <0.24,>=0.12
  8. tensorflow <2.16,>=2.12

Compatibility and release files

scVAEIT publishes 1 wheel and 1 source archive for version 1.1.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 6 releases with files. The first dated release is ; 6 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.