Factual package intelligence from PyPI

fastccc 1.0.1 package intelligence

A permutation-free framework for scalable, robust, and reference-based cell-cell communication analysis in single cell transcriptomics studies.

pip install fastccc

Current version
1.0.1
Python requirement
<3.13,>=3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
654.5 KiB
Release history
6 releases with files
Median release cadence
30 days

fastccc dependencies

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

  1. adjusttext >=1.0
  2. gseapy <2,>=1.1.4
  3. jinja2 <4.0.0,>=3.1.6
  4. loguru <0.8,>=0.7.2
  5. matplotlib <4.0.0,>=3.10.9
  6. networkx <4.0.0,>=3.6.1
  7. numpy <2.4.0,>=1.24
  8. openpyxl <4,>=3.1.5
  9. pandas <3,>=2.2.3
  10. psutil <7,>=6.1.1
  11. scanpy <2,>=1.10.3
  12. scipy <2,>=1.14.1
  13. seaborn <0.14.0,>=0.13.2

Compatibility and release files

fastccc publishes 1 wheel and 1 source archive for version 1.0.1. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Metadata completeness

PyPI does not currently declare: license, 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 .

1 historical release is fully yanked in PyPI metadata.

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