Factual package intelligence from PyPI

deeptan-network 0.1.1 package intelligence

DeepTAN: A multi-task framework designed to infer multi-omics trait-associated networks and reconstruct phenotype-specific omics states from mosaic data input.

pip install deeptan-network

Current version
0.1.1
Python requirement
<3.14,>=3.10
License
GNU General Public License v3 (GPLv3)
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
198.6 KiB
Release history
2 releases with files
Median release cadence
1 days

deeptan-network dependencies

PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. jupyterlab-lsp >=5.1.1
  2. jupyterlab >=4.4.3
  3. leidenalg >=0.10.2
  4. lightning >=2.5.2
  5. litdata >=0.2.51
  6. loguru >=0.7.3
  7. mosaicml-streaming >=0.12.0
  8. numpy >=2.1.2
  9. optuna-dashboard >=0.18.0
  10. optuna >=4.3.0
  11. pacmap >=0.8.0
  12. polars >=1.30.0
  13. pyarrow >=19.0.0
  14. pyg-lib
  15. scanpy >=1.11.2
  16. scib-metrics >=0.5.4
  17. scikit-learn >=1.6.1
  18. scikit-misc >=0.5.1
  19. scipy >=1.15.1
  20. setuptools >=78.1.1
  21. standard-imghdr
  22. tensorboard >=2.18.0
  23. torch-cluster
  24. torch-geometric >=2.6.1
  25. torch-scatter

The compact report shows 25 of 33 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

deeptan-network publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .