Factual package intelligence from PyPI

peak-performance 0.7.3 package intelligence

A Python toolbox to fit chromatography peaks with uncertainty.

pip install peak-performance

Current version
0.7.3
Python requirement
>=3.9
License
AGPLv3
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
43.1 KiB
Release history
5 releases with files
Median release cadence
157 days

peak-performance dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. arviz
  2. matplotlib
  3. numpy <3
  4. pandas
  5. pymc >=5.9.1
  6. pytensor
  7. scipy
  8. openpyxl
  9. numpy

Compatibility and release files

peak-performance publishes 1 wheel and 0 source archives for version 0.7.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .