Factual package intelligence from PyPI

quantum-debugger 0.6.1 package intelligence

Comprehensive quantum machine learning library with AutoML, GPU acceleration, advanced algorithms (QGANs, Quantum RL), transfer learning, and multi-framework support (Qiskit, PennyLane, Cirq, TensorFl

pip install quantum-debugger

Current version
0.6.1
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
634.7 KiB
Release history
11 releases with files
Median release cadence
2 days

quantum-debugger dependencies

PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.20.0
  2. scipy >=1.7.0
  3. matplotlib >=3.5.0
  4. scikit-learn >=1.0.0

The compact report shows 12 of 25 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

quantum-debugger publishes 1 wheel and 1 source archive for version 0.6.1. Wheel platform tags: any.

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

Security snapshot for quantum-debugger 0.6.1

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 11 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .