Factual package intelligence from PyPI

niceml 0.16.0 package intelligence

Welcome to niceML 🍦, a Python-based MLOps framework that uses TensorFlow and Dagster. This framework streamlines the development, and maintenance of machine learning models, providing an end-to-end s

pip install niceml

Current version
0.16.0
Python requirement
!=2.7.*,!=3.0.*,!=3.1.*,!=3.12.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*,>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
4.2 MiB
Release history
33 releases with files
Median release cadence
15 days

niceml dependencies

PyPI declares 37 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. albumentations <2.0.0,>=1.3.0
  2. cattrs <23.0.0,>=22.2.0
  3. click <9.0.0,>=8.1.3
  4. copier <8.0.0,>=7.2.0
  5. cryptography <42.0.0,>=41.0.0
  6. cython <0.30.0,>=0.29.34
  7. dagit <2.0.0,>=1.3.3
  8. dagster <1.7.0,>=1.6.0
  9. dagster-mlflow <0.23.0,>=0.22.0
  10. fastparquet <2024.0.0,>=2023.2.0
  11. grpcio <2.0.0,>=1.60.0

The compact report shows 12 of 37 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

niceml publishes 1 wheel and 1 source archive for version 0.16.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Release activity and sources

PyPI lists 33 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .