Spectrally refined interferometry for Python

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PySprint

Spectrally Refined Interferometry for Python

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Name PySprint
PyPI package PyPI version
Anaconda package Anaconda-Server Badge
Development status Beta
License License: MIT

Description

PySprint provides an interface for Spectrally resolved interferometry in Python. PySprint implements all the evaluation methods described in the literature, however the API and the software itself might change over time. Documentation is sparse and due to the narrow use case of the software its written in Hungarian, however it will be translated to English in the future. The testing is in very early stage, and we have a currently pointless Rust extension module, which might turn into something useful later.

  • ✓ Minimum-maximum method
  • ✓ Phase modulated cosine function fit method
  • ✓ Fourier method
  • ✓ Windowed Fourier transform method
  • ✓ Stationary phase point method

Installation

PySprint requires at least Python 3.6 to run.

Install with

pip install pysprint

or install on Anaconda with:

(CURRENTLY NOT AVAILABLE) conda install -c ptrskay pysprint -c conda-forge

Requirements:

  • numpy
  • scipy
  • matplotlib
  • pandas
  • Jinja2
  • scikit-learn

Optional packages:

  • lmfit - for detailed curve fitting results
  • numba - to speed up non uniform FFT calculation
  • dask - for parallel WFT run

Documentation

The documentation is hosted on readthedocs.io.

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