Factual package intelligence from PyPI

tinyml4all 1.0.9 package intelligence

Train Machine Learning pipelines in Python, run on any embedded device

pip install tinyml4all

Current version
1.0.9
Python requirement
Not declared
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
17.5 MiB
Release history
10 releases with files
Median release cadence
3 days

tinyml4all dependencies

PyPI declares 36 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. cached-property
  2. contourpy
  3. cycler
  4. deprecation
  5. durations
  6. fonttools
  7. hexdump
  8. jinja2
  9. jinja2-workarounds
  10. joblib
  11. kiwisolver
  12. markupsafe
  13. matplotlib
  14. mpmath
  15. numpy
  16. packaging
  17. pandas
  18. pillow
  19. prettytable
  20. pyparsing
  21. pyserial
  22. python-dateutil
  23. python-ulid
  24. pytz
  25. scikit-learn

The compact report shows 25 of 36 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

tinyml4all publishes 1 wheel and 1 source archive for version 1.0.9. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement, license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .