Factual package intelligence from PyPI

quantify-core 0.9.1 package intelligence

Quantify-core is a unified quantum computing, solid-state and pulse sequencing physical experimentation framework.

pip install quantify-core

Current version
0.9.1
Python requirement
>=3.8
License
BSD-3-Clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
6.0 MiB
Release history
30 releases with files
Median release cadence
60 days

quantify-core dependencies

PyPI declares 48 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy !=1.19.4
  2. qcodes >=0.37.0
  3. qcodes-loop
  4. scipy !=1.6.0,>=1.5.0
  5. h5netcdf
  6. xarray >=0.19.0
  7. matplotlib !=3.5.0
  8. lmfit >=1.0.3
  9. pyqt5 >5.15.2
  10. pyqtgraph
  11. jsonschema
  12. adaptive
  13. filelock
  14. appnope
  15. uncertainties <v3.2.3
  16. dataclasses_json
  17. dill
  18. methodtools
  19. deepdiff
  20. scikit-learn
  21. typing-extensions

The compact report shows 25 of 48 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

quantify-core publishes 1 wheel and 1 source archive for version 0.9.1. Wheel platform tags: any.

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

Release activity and sources

PyPI lists 30 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.