Factual package intelligence from PyPI

vimms 2.1.6 package intelligence

A framework to develop, test and optimise fragmentation strategies in LC-MS metabolomics.

pip install vimms

Current version
2.1.6
Python requirement
<3.13,>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
453.9 KiB
Release history
12 releases with files
Median release cadence
40 days

vimms dependencies

PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. events <0.6,>=0.5
  2. intervaltree <4.0.0,>=3.1.0
  3. ipyparallel <10.0.0,>=9.0.1
  4. joblib <2.0.0,>=1.5.1
  5. jsonpickle <5.0.0,>=4.1.1
  6. loguru <0.8.0,>=0.7.3
  7. mass-spec-utils <0.0.13,>=0.0.12
  8. matplotlib <4.0.0,>=3.10.3
  9. networkx <4.0,>=3.5
  10. numba <0.62.0,>=0.61.2
  11. numba-stats <2.0.0,>=1.10.1
  12. numpy <3.0.0,>=2.2.6
  13. optuna <5.0.0,>=4.3.0
  14. pandas <3.0.0,>=2.2.3
  15. plotly <7.0.0,>=6.1.2
  16. psims <2.0.0,>=1.3.5
  17. pymzml <3.0.0,>=2.5.11
  18. pysmiles <3.0.0,>=2.0.0
  19. requests <3.0.0,>=2.32.3
  20. scikit-learn <2.0.0,>=1.6.1
  21. scipy <2.0.0,>=1.15.3
  22. seaborn <0.14.0,>=0.13.2
  23. statsmodels <0.15.0,>=0.14.4
  24. tabulate <0.10.0,>=0.9.0
  25. tqdm <5.0.0,>=4.67.1

Compatibility and release files

vimms publishes 1 wheel and 1 source archive for version 2.1.6. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Release activity and sources

PyPI lists 12 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .