Factual package intelligence from PyPI

lazychemvis 1.3.0 package intelligence

Automated 2D visualizations of chemical spaces

pip install lazychemvis

Current version
1.3.0
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
139.9 KiB
Release history
5 releases with files
Median release cadence
5 days

lazychemvis dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn ==1.7.2
  2. tqdm ==4.67.1
  3. rdkit ==2024.3.6
  4. torch ==2.9.1
  5. pandas ==2.3.0
  6. datashader ==0.18.2
  7. matplotlib ==3.10.8
  8. ersilia ==0.1.52
  9. umap-learn ==0.5.7
  10. xgboost ==3.1.3
  11. opentsne ==1.0.4
  12. optuna ==4.7.0
  13. rich ==14.3.3
  14. fpsim2 ==0.7.4

Compatibility and release files

lazychemvis publishes 1 wheel and 1 source archive for version 1.3.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for lazychemvis 1.3.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

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 5 releases with files. The first dated release is ; 5 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.