Factual package intelligence from PyPI

mlmarker 0.1.6 package intelligence

PyPI does not currently provide a summary for mlmarker.

pip install mlmarker

Current version
0.1.6
Python requirement
<4.0,>=3.7
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
24.7 MiB
Release history
7 releases with files
Median release cadence
47 days

mlmarker dependencies

PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. ace
  2. dask
  3. datashader
  4. easydev
  5. joblib
  6. matplotlib
  7. numpy ==1.23.5
  8. pandas
  9. plotly
  10. scipy
  11. seaborn
  12. shap ==0.42.0
  13. scikit-learn
  14. umap-learn
  15. bioservices
  16. gprofiler-official

Compatibility and release files

mlmarker publishes 1 wheel and 1 source archive for version 0.1.6. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.7, 3.8, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 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.