Factual package intelligence from PyPI

jcopdl 2.3.3 package intelligence

J.COp DL is a deep Learning package to complement pytorch workflow

pip install jcopdl

Current version
2.3.3
Python requirement
>=3.6.7
License
Not declared
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
29.2 KiB
Release history
35 releases with files
Median release cadence
11 days

jcopdl dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch
  2. torchvision
  3. numpy
  4. scipy
  5. pandas
  6. matplotlib
  7. pillow
  8. scikit-learn
  9. pyperclip
  10. tqdm

Compatibility and release files

jcopdl publishes 0 wheels and 1 source archive for version 2.3.3. Wheel platform tags: No wheel platform tags.

Declared Python classifiers: 3.10, 3.11, 3.6, 3.7, 3.8, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 35 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .