Factual package intelligence from PyPI

dta-gnn 0.2.1 package intelligence

A reproducible pipeline for building target-specific binding affinity datasets from ChEMBL and training Graph Neural Networks for your targets of interest.

pip install dta-gnn

Current version
0.2.1
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
207.4 KiB
Release history
3 releases with files
Median release cadence
39 days

dta-gnn dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. typer >=0.9.0
  2. pandas >=2.0.0
  3. chembl_webresource_client >=0.10.8
  4. rdkit >=2023.3.1
  5. scikit-learn >=1.3.0
  6. pydantic >=2.0.0
  7. tqdm >=4.65.0
  8. gradio >=4.0.0
  9. loguru >=0.7.0
  10. matplotlib >=3.7.1
  11. seaborn >=0.12.2
  12. torch >=2.0.0

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

dta-gnn publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 3 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 .