Factual package intelligence from PyPI

sbmlsim 0.4.0 package intelligence

sbmlsim are utilities for the simulation of SBML models.

pip install sbmlsim

Current version
0.4.0
Python requirement
>=3.13
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
13.3 MiB
Release history
16 releases with files
Median release cadence
21 days

sbmlsim dependencies

PyPI declares 38 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. altair >=5.5.0
  2. bottleneck >=1.4.2
  3. dill >=0.4.0
  4. jinja2
  5. libroadrunner
  6. matplotlib
  7. numpy
  8. pandas
  9. petab >=0.8.1
  10. pint
  11. pkdb-analysis >=0.3.1
  12. plotly >=6.0.0
  13. psutil >=6.1.1
  14. pydantic >=2.12.5
  15. pydoe >=0.3.8
  16. pymetadata >=0.5.10
  17. python-libnuml >=1.1.7
  18. python-libsbml
  19. python-libsedml >=2.0.33
  20. rich
  21. salib >=1.5.2
  22. sbmlutils >=0.9.6
  23. scipy
  24. seaborn >=0.13.2
  25. setproctitle >=1.3.4

The compact report shows 25 of 38 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

sbmlsim publishes 1 wheel and 1 source archive for version 0.4.0. Wheel platform tags: any.

Declared Python classifiers: 3.13, 3.14.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 16 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 .

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