yonder: A python package for data denoising and reconstruction

TL;DR

Yonder is an open-source Python package that performs data denoising and reconstruction using a singular value decomposition-based method, demonstrated on simulated data.

Contribution

It introduces a standalone Python implementation of a data deconvolution technique based on SVD, packaged as yonder for easy use.

Findings

Effective denoising demonstrated on simulated data

Open-source Python package available for data reconstruction

Simple input-output interface for datasets and errors

Abstract

We present a standalone implementation of a data-deconvolution method based on singular value decomposition. The tool is written in python and packaged in the open-source yonder package. yonder receives as input two matrices, one for the data and another for the errors, and outputs a denoised version of the original dataset. In this Research Note, we briefly describe the methodology and show a demonstration of the yonder on a simulated dataset.