Factual package intelligence from PyPI

shimoku 2.6.4 package intelligence

Shimoku enables you to build Data Products in just hours and allows you to create Predictive Analytics Products with Artificial Intelligence capabilities.

pip install shimoku

Current version
2.6.4
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
464.4 KiB
Release history
22 releases with files
Median release cadence
1 days

shimoku dependencies

PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. importlib-metadata
  2. pandas >=2.2.2
  3. shimoku-components-catalog >=0.2.1
  4. json5 ~=0.9.10
  5. requests ~=2.31.0
  6. datetime ~=4.9
  7. tqdm ~=4.64.1
  8. psutil ~=5.9.4
  9. aiohttp >=3.9.2
  10. ipython >=8.10
  11. uvicorn ~=0.23.2
  12. graphene ~=3.3
  13. urllib3 ~=1.26.13
  14. pydantic ~=2.4.2
  15. strawberry-graphql ~=0.198.0
  16. starlette-graphene3 ~=0.6.0
  17. fastapi >=0.109.1
  18. websockets ~=11.0.3

The compact report shows 18 of 24 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

shimoku publishes 1 wheel and 1 source archive for version 2.6.4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 22 releases with files. The first dated release is ; 22 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .