Factual package intelligence from PyPI

orion-ml 0.7.1 package intelligence

Orion is a machine learning library built for unsupervised time series anomaly detection.

pip install orion-ml

Current version
0.7.1
Python requirement
<3.12,>=3.8
License
MIT license
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.2 MiB
Release history
47 releases with files
Median release cadence
12 days

orion-ml dependencies

PyPI declares 55 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tensorflow <2.15,>=2.2
  2. numpy <2,>=1.17.5
  3. pandas <3,>=1
  4. numba <0.60,>=0.48
  5. s3fs <0.5,>=0.2.2
  6. mlblocks <0.7,>=0.6.2
  7. ml-stars <0.4,>=0.2.1.dev0
  8. scikit-learn <2,>=0.22.1
  9. scipy <1.14
  10. tabulate <0.9,>=0.8.3
  11. pyts <0.14,>=0.11
  12. torch <2.6,>=1.4
  13. azure-cognitiveservices-anomalydetector <0.4,>=0.3
  14. xlsxwriter <1.4,>=1.3.6
  15. tqdm >=4.36.1
  16. stumpy <1.11,>=1.7
  17. ncps
  18. protobuf <4

The compact report shows 18 of 55 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

orion-ml publishes 1 wheel and 1 source archive for version 0.7.1. Wheel platform tags: any.

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

Release activity and sources

PyPI lists 47 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .