Factual package intelligence from PyPI

aibooster 0.5.0 package intelligence

AIBooster - Performance intelligence and observability tools for AI workloads

pip install aibooster

Current version
0.5.0
Python requirement
>=3.8
License
MIT
Distribution type
Includes compiled wheel
Release files
10 (10 wheels, 0 source)
Download size
4.8 MiB
Release history
6 releases with files
Median release cadence
27 days

aibooster dependencies

PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. optuna >=4.4.0
  2. optuna-integration >=4.4.0
  3. scikit-learn >=0.24.2
  4. plotly >=4.9.0
  5. kaleido <=0.2.1
  6. psutil
  7. nvidia-ml-py
  8. opentelemetry-api ==1.30.0
  9. opentelemetry-exporter-otlp ==1.30.0
  10. opentelemetry-sdk ==1.30.0
  11. kubernetes ==31.0.0
  12. onnx <1.20.0

The compact report shows 12 of 22 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

aibooster publishes 10 wheels and 0 source archives for version 0.5.0. Wheel platform tags: manylinux2014_aarch64.manylinux_2_17_aarch64, manylinux2014_x86_64.manylinux_2_17_x86_64, manylinux_2_17_aarch64.manylinux2014_aarch64, manylinux_2_17_x86_64.manylinux2014_x86_64.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Release activity and sources

PyPI lists 6 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 .