Factual package intelligence from PyPI
This Python package has been created with the goal of creating an easier interface for the analysis of data gathered from laser spectroscopy experiments. Support for fitting the spectra, using both chi2-fitting and Maximum Likelihood Estimation routines, are present.
pip install satlas
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
satlas publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 29 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .