PySprint
Spectrally Resolved Interferometry for Python
Name | PySprint |
---|---|
PyPI package | |
Anaconda package | |
Development status | Beta |
License | |
Languages | Python, Rust |
Supported Python versions |
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 stages.
- Minima-maxima 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
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. You may try the software without installing on binder.