Factual package intelligence from PyPI

datadings 3.4.7 package intelligence

datadings is a collection of tools to prepare datasets for machine learning. It's easy to use, space-efficient, and blazingly fast.

pip install datadings

Current version
3.4.7
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
2.8 MiB
Release history
13 releases with files
Median release cadence
76 days

datadings dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. gdown >=3.0.0
  2. msgpack !=0.6.0,<2.0.0,>=0.5.0
  3. msgpack_numpy <1.0.0,>=0.4.2
  4. natsort >=4.0.4
  5. numpy <3.0.0,>=1.17.0
  6. Pillow >=7.0.0
  7. requests <3.0.0,>=2.0.0
  8. scipy <2.0.0,>=0.17.0
  9. simplebloom <2.0.0,>=1.0.2
  10. simplejpeg <2.0.0,>=1.2.5
  11. tqdm <5.0.0,>=4.23.0
  12. pyzmq >=18.1.1

Compatibility and release files

datadings publishes 1 wheel and 0 source archives for version 3.4.7. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.6, 3.7, 3.8, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 13 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 .