Factual package intelligence from PyPI

helios-ml 2.0.1 package intelligence

A light-weight system for training AI networks using PyTorch

pip install helios-ml

Current version
2.0.1
Python requirement
>=3.11
License
BSD-3-Clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
436.3 KiB
Release history
27 releases with files
Median release cadence
7 days

helios-ml dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.9.2
  2. numpy >=2.1.0
  3. onnx >=1.16.0
  4. onnxruntime >=1.19.0
  5. opencv-python >=4.10.0.84
  6. torch >=2.5.0
  7. torchvision >=0.20.0
  8. tqdm >=4.66.0

Compatibility and release files

helios-ml publishes 1 wheel and 1 source archive for version 2.0.1. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13, 3.14.

Security snapshot for helios-ml 2.0.1

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 27 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .