Factual package intelligence from PyPI

scCODA 0.1.9 package intelligence

A Dirichlet-Multinomial approach to identify compositional changes in count data.

pip install sccoda

Current version
0.1.9
Python requirement
>=3.7.0
License
BSD
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
10.9 MiB
Release history
11 releases with files
Median release cadence
64 days

scCODA dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21
  2. scipy
  3. tensorflow >=2.8
  4. tensorflow-probability >=0.16.0
  5. arviz >=0.11
  6. seaborn
  7. pandas >=1.0
  8. matplotlib >=3.0
  9. scanpy
  10. anndata
  11. patsy
  12. statsmodels
  13. rpy2

Compatibility and release files

scCODA publishes 1 wheel and 1 source archive for version 0.1.9. Wheel platform tags: any.

Declared Python classifiers: 3.7.

Release activity and sources

PyPI lists 11 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .